{ "data": { "a": { "slug": "letta", "name": "Letta", "vendor": "Letta", "vendorUrl": "https://www.letta.com", "kind": "harness", "category": "agent-harnesses", "summary": "Letta, from the MemGPT team, is an open-source agent harness (formerly Letta Code) for stateful agents that keep memory blocks, skills and conversations across sessions, used from a CLI, chat.letta.com, messaging channels or the Agent SDK, with Letta Cloud.", "url": "https://www.anchorterminal.com/tools/letta", "markdownUrl": "https://www.anchorterminal.com/tools/letta.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/letta.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/letta.json", "dns": "letta.grade.anchorterminal.com", "repo": "https://github.com/letta-ai/letta-code", "license": "Apache-2.0", "transports": [ "stdio" ], "packages": [ { "registry": "npm", "name": "@letta-ai/letta-code" }, { "registry": "pypi", "name": "letta" } ], "auth": "mixed", "authNotes": "Local use needs only the user's own model keys or coding-plan logins through `/connect`. Signing in with Letta (`/login`, OAuth in the browser) stores agents in Letta Cloud and enables remote computers and secrets. Developer plans use Letta API keys.", "pricing": "freemium", "pricingNotes": "Free plan at $0 with bring-your-own keys and limited agents and storage. Pro $20 a month with Letta Auto quotas and up to 20 agents. API plan $20 a month plus $0.10 per active agent a month and $0.00015 a second of tool execution, with LLM usage at token cost.", "priceSummary": "$20 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the letta-code source, docs.letta.com's llms.txt or the pricing page (checked 2026-11-06).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 3793, "npmWeekly": 85863, "pypiWeekly": 2225, "asOf": "2026-11-06" }, "docsUrl": "https://docs.letta.com", "llmsTxt": "https://docs.letta.com/llms.txt", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent", "memory.store", "memory.search" ], "tags": [ "open-source", "local", "hosted", "freemium", "apache-2.0", "typescript", "cli", "headless", "telemetry", "llms-txt", "memory" ], "lastRelease": "2026-11-06", "graded": true, "anchor": { "graded": true, "score": 59.7, "grade": "C", "agentReady": false, "rank": 687, "ranked": true, "rankOf": 1510, "categoryRank": 18, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 67, "maintenance": 85, "payments": 60, "reliability": 58, "schema": 70, "security": 35, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "Letta's open-source harness gives agents git-tracked memory blocks, skills, subagents and headless JSON runs, with a $0 plan and public per-agent API prices. It starts in the unrestricted permission mode, defaults to Letta Cloud, sends usage telemetry unless LETTA_CODE_TELEM=0 is set, and the V1 API server the comparisons describe is retired.", "bestFor": "Long-lived coding agents and assistants that keep memory and identity across sessions and machines.", "strengths": [ "Apache-2.0 harness on npm and PyPI with 0.34.42 released on 6 November 2026, and releases most days", "Memory blocks and MemFS keep an agent's context in git, with optional sync to the user's own repository", "Headless runs with `-p` and `--output-format json`, plus a TypeScript Agent SDK and a self-hosted App Server", "Public prices, a $0 plan with bring-your-own keys, and an API plan at $20 a month plus $0.10 per active agent", "Runs locally without signing in, with `letta backend local` or `--backend local`" ], "weaknesses": [ "The default permission mode is `unrestricted`, the renamed `bypassPermissions`, so tool calls aren't confirmed unless the user picks another mode", "Letta Cloud is the default backend, so agent memory and conversations go to Letta's servers unless the user chooses local", "Usage telemetry is on by default, with the LETTA_CODE_TELEM=0 opt-out found only in the source", "The Letta V1 Python API server is retired and unsupported, and the letta-ai/letta repository is now a landing page", "The privacy policy names no legal entity or date and says hosted message data may train future models" ], "agentNotes": [ "Start headless runs with an explicit permission mode such as `standard` or `strict`; the default auto-approves tools", "Pass `--backend local` for work that must stay on the machine, since Letta Cloud is the default", "Set LETTA_CODE_TELEM=0 in unattended runs if usage events must not be sent", "Use `letta -p --output-format json` for scripted runs and parse the JSON, not the terminal output", "Don't plan on the retired V1 REST server or `.af` AgentFile import; both are gone" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.7 } ], "editorialScores": { "ergonomics": 67, "maintenance": 85, "payments": 60, "reliability": 58, "schema": 70, "security": 35, "transparency": 55 }, "provenanceScore": 54, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install -g @letta-ai/letta-code", "headless": { "local": "letta --backend local", "run": "letta -p --output-format json \"\u003ctask\u003e\"", "server": "letta server" } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/letta" }, "alsoIn": [ "agent-memory" ], "area": "frameworks", "unitPrices": [ { "item": "Pro plan", "unit": "month", "usd": 20, "note": "Letta Auto quotas, up to 20 agents" }, { "item": "API plan active agent", "unit": "month", "usd": 0.1, "note": "Plus $20 a month base and $0.00015 a second of tool execution" } ], "provenance": { "legalEntity": "", "domain": "letta.com", "domainRegistered": "1997-10-01", "endpointOnVendorDomain": null, "terms": "https://www.letta.com/terms-of-service", "privacy": "https://www.letta.com/privacy-policy", "statusPage": "", "changelog": "https://github.com/letta-ai/letta-code/releases", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The privacy policy shows no last-updated date and names no legal entity, only Letta. It says hosted message data may be used to train new models and that basic telemetry can be turned off in settings when supported.", "www.letta.com and docs.letta.com robots.txt allow all crawlers.", "RDAP gives letta.com a registration date of 1 October 1997, which predates the company, so the domain was bought later.", "/.well-known/security.txt returns 404. SECURITY.md in letta-ai/letta asks for reports to support@letta.com.", "The terms URL is the conventional path and was not read; the policy reader checks it at landing." ], "score": 54 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/letta.json", "live": { "slug": "letta", "versions": [ { "registry": "github", "name": "letta-ai/letta-code", "version": "v0.34.43", "released": "2026-11-06", "seenAt": "2026-11-06T23:39:39.434291816Z" }, { "registry": "npm", "name": "@letta-ai/letta-code", "version": "0.34.43", "seenAt": "2026-11-06T23:39:38.413416142Z" }, { "registry": "pypi", "name": "letta", "version": "0.34.12", "released": "2026-10-12", "seenAt": "2026-11-06T23:39:39.241816797Z" } ], "githubStars": 3794, "npmWeekly": 85863, "pypiWeekly": 2225, "securityTxt": { "url": "https://letta.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:01:02.768002207Z" }, "llmsTxt": { "url": "https://docs.letta.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:52.28674296Z" }, "pages": [ { "url": "https://www.letta.com/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:30:46.549817082Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "947a68f3e3a0" }, { "url": "https://www.letta.com/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:30:48.740250784Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "63f31d6ebfb8" } ], "updatedAt": "2026-11-07T16:01:02.768002207Z" } }, "answer": "Qwen Code scores 68.7 (B) on agent readiness against Letta's 59.7 (C), and leads in 6 of 7 scored categories.", "b": { "slug": "qwen-code", "name": "Qwen Code", "vendor": "Alibaba (Qwen team)", "vendorUrl": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/", "kind": "harness", "category": "agent-harnesses", "summary": "Open-source coding agent from Alibaba's Qwen team for the terminal, with desktop, browser and editor interfaces. It runs Qwen, OpenAI, Anthropic and Gemini-compatible models or a local one, and runs headless with `qwen -p`.", "url": "https://www.anchorterminal.com/tools/qwen-code", "markdownUrl": "https://www.anchorterminal.com/tools/qwen-code.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwen-code.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwen-code.json", "dns": "qwen-code.grade.anchorterminal.com", "repo": "https://github.com/QwenLM/qwen-code", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "npm", "name": "@qwen-code/qwen-code" }, { "registry": "npm", "name": "@qwen-code/sdk" }, { "registry": "pypi", "name": "qwen-code-sdk" }, { "registry": "oci", "name": "ghcr.io/qwenlm/qwen-code" } ], "auth": "api-key", "authNotes": "No account of its own. A model key goes in an environment variable or `~/.qwen/settings.json`, for Alibaba Cloud Model Studio (Coding Plan, Token Plan or a standard key), a listed third-party provider, or any OpenAI, Anthropic or Gemini-compatible endpoint including a local server. Vertex AI credentials also work. The Qwen OAuth sign-in was discontinued on 15 April 2026.", "pricing": "free", "pricingNotes": "Free and Apache-2.0, with nothing to buy for the CLI. The owner pays the model provider, or nothing with a local model. The Qwen OAuth free tier ended on 15 April 2026. Alibaba Cloud sells a fixed-fee Coding Plan and a usage-billed Token Plan for it, and we couldn't load their price pages on 8 October 2026.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 28362, "npmWeekly": 104819, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://qwenlm.github.io/qwen-code-docs/en/users/overview/", "llmsTxt": "https://qwenlm.github.io/qwen-code-docs/llms.txt", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "official", "harness", "coding-agent", "cli", "open-source", "typescript", "mcp", "llms-txt", "telemetry-default-on", "pre-1.0", "free", "no-card", "local", "docker" ], "lastRelease": "2026-11-01", "graded": true, "anchor": { "graded": true, "score": 68.7, "grade": "B", "agentReady": false, "rank": 274, "ranked": true, "rankOf": 1510, "categoryRank": 7, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 66 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -4, "negativeNotes": [ "2026-10-27. 0.26.2 stopped a cloned repository from setting the `qwen serve` daemon's bearer token. Before it, a project `.env`, `.qwen/.env` or workspace `settings.env` could preset `QWEN_SERVER_TOKEN`, the credential guarding a daemon that runs code as the user (commit 2c0c9fa, 24 October, with tests). Fixed in a release, documented only as the changelog line \"harden serve token resolution against project env injection\" with no advisory, -2, as kilo-code-cli's changelog-only MCP prompt fix and docker-agent's fixed skill-file command execution took. 0.25.3's fix stopping `@{...}` file content from being read as `!{...}` shell expressions in custom commands isn't deducted, since its own design note says the expression still reached the permission check. https://github.com/QwenLM/qwen-code/commit/2c0c9fa8dc4a8ea5ec688060549e0ff0aed717b4", "2026-10-26. Until then the terms and privacy page said that with your own API key \"No additional data is collected by Qwen Code beyond what your chosen API provider collects\", and that Vertex AI users sent nothing beyond Google Cloud, while usage statistics were on by default for every sign-in method and the source sent them to an Alibaba Cloud RUM endpoint (at 0.25.0, among others). The settings reference documented the default, so a misleading claim rather than undisclosed telemetry, corrected by commit 338f133 on 26 October, -2, as openmausbot's privacy policy against its default-on analytics took. https://github.com/QwenLM/qwen-code/commit/338f13366c1d86e586f7e0785942740da3503887" ], "verdict": "Apache-2.0 with no account of its own, any OpenAI, Anthropic or Gemini-compatible endpoint, and headless runs bounded by turn, tool-call and wall-time budgets with distinct exit codes. Out of the box, Auto mode lets an LLM classifier approve tool calls, with the sandbox and folder trust both off. Security fixes ship as changelog lines without advisories.", "bestFor": "Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.", "strengths": [ "Apache-2.0, with a release most weeks (39 stable from 3 August to 1 November 2026) and CodeQL and a monthly scorecard in CI", "Headless `qwen -p` with json and stream-json output, and exit codes 53 for the turn limit and 55 for a wall-time or tool-call budget", "Works with any OpenAI, Anthropic or Gemini-compatible endpoint, including a local server, with keys set by environment variable", "Every release has a Breaking Changes heading in a generated changelog", "A Linux tool sandbox (Bubblewrap or Landlock) with `network: closed`, plus Seatbelt, Docker and Podman" ], "weaknesses": [ "The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default", "Usage statistics are on by default for every sign-in method and go to an Alibaba Cloud endpoint", "SECURITY.md points only to an Alibaba Cloud console portal, and the 27 October serve-token fix shipped with no advisory", "Pre-1.0 at 0.26.5, with breaking changes in patch releases such as 0.24.1, 0.26.1 and 0.26.2", "The Qwen OAuth free tier ended on 15 April 2026, so every run needs a paid key or a local model" ], "agentNotes": [ "Pass `--approval-mode` on every run. The settings default is `auto`, and one docs page says headless runs default to asking, so don't rely on either", "Add `--max-session-turns`, `--max-wall-time` and `--max-tool-calls`. All three are unlimited by default. Exit 53 is the turn limit and 55 a budget", "`--yolo` doesn't turn on a sandbox. Add `--sandbox`, or on Linux set `tools.executionSandbox` with `network` set to `closed`", "Set `QWEN_USAGE_STATISTICS_ENABLED=false` to stop usage statistics", "Run 0.26.2 or later before using `qwen serve` in a cloned repository. Earlier versions let the repository's `.env` set the daemon token" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 68.7 } ], "editorialScores": { "ergonomics": 85, "maintenance": 88, "payments": 60, "reliability": 69, "schema": 91, "security": 53, "transparency": 79 }, "provenanceScore": 52, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm install -g @qwen-code/qwen-code@latest # or: brew install qwen-code", "headless": { "command": "qwen -p \"$TASK\" --output-format json --approval-mode auto-edit --max-session-turns 30 --max-wall-time 10m", "env": { "OPENAI_API_KEY": "\u003ckey\u003e", "OPENAI_BASE_URL": "\u003cendpoint\u003e", "OPENAI_MODEL": "\u003cmodel\u003e", "QWEN_USAGE_STATISTICS_ENABLED": "false" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/qwen-code" }, "area": "frameworks", "provenance": { "legalEntity": "Qwen team, Alibaba Group (no legal entity is named in the repository or the docs)", "domain": "qwenlm.github.io", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "privacy": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "statusPage": "", "changelog": "https://github.com/QwenLM/qwen-code/blob/main/CHANGELOG.md", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The project's own Terms of Service and Privacy Notice is one page. It covers usage statistics and the Chrome extension, and maps each sign-in method to the model provider's terms and privacy policy. The project publishes no separate privacy policy for the CLI, so both fields point at that page.", "The LICENSE file carries Copyright 2025 Google LLC and Copyright 2025 Qwen. The docs describe the project as Alibaba's, and SECURITY.md sends reports to an Alibaba Cloud console portal.", "The docs are on GitHub Pages. qwen.ai returned its application page for /.well-known/security.txt, so no security.txt was found. alibabacloud.com couldn't be reached from our network on 8 October 2026.", "The qwen.ai terms and privacy pages render only with JavaScript and weren't read." ], "score": 52 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwen-code.json", "live": { "slug": "qwen-code", "versions": [ { "registry": "github", "name": "QwenLM/qwen-code", "version": "v0.26.9", "released": "2026-11-06", "seenAt": "2026-11-06T23:59:52.522963032Z" }, { "registry": "npm", "name": "@qwen-code/qwen-code", "version": "0.26.9", "seenAt": "2026-11-06T23:59:50.066745146Z" }, { "registry": "npm", "name": "@qwen-code/sdk", "version": "0.1.29", "seenAt": "2026-11-06T23:59:50.279256905Z" }, { "registry": "pypi", "name": "qwen-code-sdk", "version": "0.1.0rc0", "released": "2026-05-09", "seenAt": "2026-11-06T23:59:52.271015649Z" } ], "githubStars": 29054, "npmWeekly": 136598, "pypiWeekly": 5372, "securityTxt": { "url": "https://qwenlm.github.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:36.489155319Z" }, "llmsTxt": { "url": "https://qwenlm.github.io/qwen-code-docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:42.92640076Z" }, "domain": { "domain": "github.io", "checkedAt": "2026-11-01T14:18:40.30630652Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/QwenLM/qwen-code/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:19:11.180719819Z", "changedAt": "2026-11-07T14:19:11.180719819Z", "fingerprint": "d8592db57e74" }, { "url": "https://qwenlm.github.io/qwen-code-docs/en/users/support/tos-privacy/", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:17:49.894633355Z", "changedAt": "2026-11-06T13:39:28.661098016Z", "fingerprint": "cd59d894c85b" } ], "github": { "repo": "qwenlm/qwen-code", "checkedAt": "2026-11-02T09:20:00.147588033Z", "stars": 28875, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-02T09:15:07Z", "openIssues": 1640, "openPRs": 441, "issuesOpened90d": 2937, "issuesClosed90d": 1934, "prsMerged90d": 3654, "ci": { "branch": "main", "runs": 50, "success": 44, "failure": 0, "other": 6, "latest": "success", "latestAt": "2026-11-02T09:15:10Z" } }, "updatedAt": "2026-11-07T16:00:36.489155319Z" } }, "edges": [ { "by": 21, "category": "schema", "leads": "qwen-code", "name": "Schema \u0026 documentation", "reasons": { "a": "Harness reading. docs.letta.com serves llms.txt and a Markdown version of every page, with an `applies_to` block saying which backend and interface each page covers (10). TypeScript types for the Agent SDK and a documented App Server WebSocket protocol, but no JSON Schema or OpenAPI for the harness (15 of 25). Pages say when to use local or cloud backends, subagents and channels (14 of 20). Permission modes and options are typed in the SDK (12 of 15). Example applications and a remote client reference (11 of 15). Releases most days but no changelog file (8 of 15). Total 70.", "b": "Framework reading. A settings.schema.json in the repository, a settings reference with the type and default of each key, and an OpenAPI file for the daemon's REST API (25). llms.txt on the docs site lists the pages with a line each, though it links to HTML and the Markdown path we tried returned 404 (8). The approval-mode page says when to use each mode and the sandbox page what each method and Seatbelt profile allows (15). Approval modes, sandbox backends, filesystem and network policies are enums (13). The headless page documents json and stream-json output, and exit codes 41, 42, 44, 52, 53, 55 and 130 are documented (15). A dated changelog generated from releases (15)." }, "scores": { "a": 70, "b": 91 } }, { "by": 18, "category": "ergonomics", "leads": "qwen-code", "name": "Agent ergonomics", "reasons": { "a": "Harness reading. Toolsets switch with `/model`, skills load per agent, and subagents run in the background (18 of 25). Context is managed through memory blocks, reflection and dreaming (12 of 20). `letta -p --output-format json` for scripted runs and an App Server for programmatic control (12 of 20). Conversations resume by agent and conversation id, and memory is git-tracked so changes can be reverted (15 of 20). Runs with no account on the local backend, with one SDK language, TypeScript (10 of 15). Total 67.", "b": "Framework reading, adapted to a harness driven by a pipeline. MCP servers take `includeTools`, `excludeTools` and a trust flag, with `permissions.allow`, `ask` and `deny` rules and `--exclude-tools` (20). Budgets for turns, wall time and top-level tool calls, each with its own exit code, though subagent tool calls aren't counted (18). Documented exit codes (18). `--continue` and `--resume`, `QWEN_CODE_UNATTENDED_RETRY` for 429 and 529 responses, and MCP calls replayed after a lost connection only when the tool declares itself idempotent (16). A TypeScript SDK on npm at 0.1.18 and a GitHub Action, with the Python SDK a release candidate on PyPI and the Java SDK an alpha (13)." }, "scores": { "a": 67, "b": 85 } }, { "by": 18, "category": "security", "leads": "qwen-code", "name": "Security \u0026 auth", "reasons": { "a": "Harness reading of the framework checklist, as for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for injection posture, 15 for audit and 20 for the security programme. Letta Cloud is the default backend, so agent state and conversations go to Letta's servers, and telemetry is on by default (10 of 30). The default permission mode is `unrestricted`; `standard`, `acceptEdits` and `strict` are opt-in, and cloud sandboxes exist for remote work (4 of 20). No prompt-injection guidance found for fetched pages or channel messages (5 of 15). Conversation search and git history of memory give an operator a record of what the agent saw and changed (10 of 15). SECURITY.md routes reports to support@letta.com and scopes out the retired server; no security.txt, bounty or certification found (6 of 20). Total 35.", "b": "Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Usage statistics are on by default (`privacy.usageStatisticsEnabled` defaults to true in the settings schema at 0.26.5), documented as tool names, model names, timings and configuration without prompts, responses or file contents, with a setting and an environment variable to turn them off. Credentials are API keys in environment variables or settings.json (15). Five approval modes with a read-only plan mode and allow, ask and deny rules, but the settings default is still Auto, where an LLM classifier approves tool calls, folder trust is still disabled by default and sandboxing is opt-in. Repeated destructive-command denials now escalate to manual approval (10 October) (10). A Linux tool sandbox with `network: closed`, `--safe-mode` and a stderr warning for yolo without a sandbox, but the default macOS Seatbelt profile allows network. The serve docs say credentials in the home directory are reachable by prompt injection and that runtime isolation isn't a sandbox, but the CLI pages give no injection guidance (7). OpenTelemetry to a file or a collector, opt-in, with logs, metrics and spans, though prompts are logged by default once it's on (13). SECURITY.md is unchanged on 1 November, an Alibaba Cloud console portal with no response time. Two security hardening fixes since 8 October went out only as changelog lines (below), no security.txt was found, and CodeQL and a monthly scorecard run in CI. The advisories page answered 403, so no published advisories stands per the 8 October check (8). 15 + 10 + 7 + 13 + 8 = 53." }, "scores": { "a": 35, "b": 53 } }, { "by": 11, "category": "reliability", "leads": "qwen-code", "name": "Reliability", "reasons": { "a": "Local-software lines, read for the harness. `@letta-ai/letta-code` on npm with Node.js 22.19 or newer, and PyPI wheels for glibc Linux, macOS 14 and Windows x64 with Python 3.9 or newer stated (20). ci.yml, nightly update smoke tests and Telegram live smoke tests exist, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 332 open issues and pull requests, mostly pull requests; recent bug reports such as recall reading the wrong conversation have no reply yet (15 of 25). 398 tags at 0.34.x with release notes on GitHub, no changelog file, and breaking removals such as AgentFile announced in the README (8 of 15). Pre-1.0 (0). Total 58.", "b": "Local-package reading. npm with engines node 22 or newer (re-read in package.json at 0.26.5), Homebrew at 0.26.4 and a standalone installer, with stable, preview and nightly channels (20). Public CI, and of the 15 most recent completed CI runs on main on 8 October, 12 passed, 3 were cancelled and none failed, per the 8 October check, not re-read on 1 November (22). 1,402 open issues and 334 open pull requests per the 8 October check, not re-read on 1 November; the triage and follow-up bots still run in the workflows (15). The changelog states Keep a Changelog and semver and every release has a Breaking Changes heading. Breaking changes shipped in patch releases 0.23.4 and 0.24.1, and again in 0.26.1 (24 October, QQ bot session isolation) and 0.26.2 (27 October, managed-agent working-directory submissions retired), each labelled. All are 0.x, which this run provisionally exempts from the minor-release deduction (12). 0.26.5, pre-1.0 (0). 20 + 22 + 15 + 12 + 0 = 69." }, "scores": { "a": 58, "b": 69 } }, { "by": 11, "category": "transparency", "leads": "qwen-code", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 (30). The privacy policy has no date, no legal entity and no retention periods, and says hosted message data may train future models (8 of 30). The README and docs mark AgentFile, the Electron app and the V1 server as deprecated or retired, without dated notice periods (12 of 20). Telemetry is described in the privacy policy only as basic and opt-out when supported; the LETTA_CODE_TELEM=0 switch appears only in the source (5 of 20). Total 55.", "b": "Apache-2.0 (30). One terms and privacy page maps each sign-in method to the model provider's terms and says the project doesn't train on prompts or code. Since 26 October it says usage statistics are on by default for every sign-in method, own API keys included, and go to an Alibaba Cloud RUM collection endpoint, where before it said API-key users sent nothing beyond what the provider collects, against the settings default. It still gives no retention period and names no legal entity (20, was 18). The end of the Qwen OAuth free tier is dated 15 April 2026 and `tools.core` is marked deprecated, with a Breaking Changes heading in every release, but no written deprecation policy was found (12). Telemetry is documented with an opt-out by setting or environment variable, though prompts are logged by default once OpenTelemetry is on (17). 30 + 20 + 12 + 17 = 79." }, "scores": { "a": 55, "b": 66 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Letta", "b": "Alibaba (Qwen team)", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "stdio", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-06", "b": "2026-11-01", "name": "Last release" }, { "a": "no date given", "b": "2026-10-01", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "3.8k stars, 86k npm/wk, 2.2k PyPI/wk", "b": "28k stars, 105k npm/wk", "name": "Popularity" }, { "a": "none", "b": "2.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Qwen Code scores 68.7 (B) on agent readiness against Letta's 59.7 (C), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Letta or Qwen Code?" }, { "answer": "Yes. Letta is open source (Apache-2.0). Qwen Code is open source (Apache-2.0).", "question": "Are Letta and Qwen Code open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "Runs on your own machine", "No incidents deducted, where Qwen Code loses 4 points for them" ], "goodFor": "Long-lived coding agents and assistants that keep memory and identity across sessions and machines.", "slug": "letta", "watchFor": "The default permission mode is `unrestricted`, the renamed `bypassPermissions`, so tool calls aren't confirmed unless the user picks another mode" }, { "aheadOn": [ "Reliability, 69 against 58", "Schema \u0026 documentation, 91 against 70", "Agent ergonomics, 85 against 67", "Security \u0026 auth, 53 against 35", "Transparency \u0026 trust, 66 against 55" ], "also": [ "Free to start without a card" ], "goodFor": "Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.", "slug": "qwen-code", "watchFor": "The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default" } ], "history": { "letta": null, "qwen-code": [ { "causes": [ "terms", "event" ], "date": "2026-11-01", "delta": -3.9, "from": 72.6, "fromGrade": "BB", "to": 68.7, "toGrade": "B" }, { "causes": [ "evidence" ], "date": "2026-10-28", "delta": 0.1, "from": 72.5, "fromGrade": "BB", "to": 72.6, "toGrade": "BB" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 72.4, "fromGrade": "BB", "to": 72.5, "toGrade": "BB" } ] }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-letta.json", "title": "Agent Zero vs Letta", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.json", "title": "Agent Zero vs Qwen Code", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-letta.json", "title": "Aider vs Letta", "url": "https://www.anchorterminal.com/compare/aider-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-qwen-code.json", "title": "Aider vs Qwen Code", "url": "https://www.anchorterminal.com/compare/aider-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-letta.json", "title": "Amp vs Letta", "url": "https://www.anchorterminal.com/compare/amp-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-qwen-code.json", "title": "Amp vs Qwen Code", "url": "https://www.anchorterminal.com/compare/amp-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/antigravity-cli-vs-letta.json", "title": "Antigravity CLI vs Letta", "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code.json", "title": "Antigravity CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/auggie-vs-letta.json", "title": "Auggie CLI vs Letta", "url": "https://www.anchorterminal.com/compare/auggie-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/auggie-vs-qwen-code.json", "title": "Auggie CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/auggie-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-letta.json", "title": "AXLR vs Letta", "url": "https://www.anchorterminal.com/compare/axlr-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-qwen-code.json", "title": "AXLR vs Qwen Code", "url": "https://www.anchorterminal.com/compare/axlr-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/claude-code-vs-letta.json", "title": "Claude Code vs Letta", "url": "https://www.anchorterminal.com/compare/claude-code-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.json", "title": "Claude Code vs Qwen Code", "url": "https://www.anchorterminal.com/compare/claude-code-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cline-vs-letta.json", "title": "Cline vs Letta", "url": "https://www.anchorterminal.com/compare/cline-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/cline-vs-qwen-code.json", "title": "Cline vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cline-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/conductor-vs-letta.json", "title": "Conductor vs Letta", "url": "https://www.anchorterminal.com/compare/conductor-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/conductor-vs-qwen-code.json", "title": "Conductor vs Qwen Code", "url": "https://www.anchorterminal.com/compare/conductor-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/crush-vs-letta.json", "title": "Crush vs Letta", "url": "https://www.anchorterminal.com/compare/crush-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/crush-vs-qwen-code.json", "title": "Crush vs Qwen Code", "url": "https://www.anchorterminal.com/compare/crush-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cursor-cli-vs-letta.json", "title": "Cursor CLI vs Letta", "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code.json", "title": "Cursor CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/deepseek-harness-vs-letta.json", "title": "DeepSeek Harness (dsh) vs Letta", "url": "https://www.anchorterminal.com/compare/deepseek-harness-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/deepseek-harness-vs-qwen-code.json", "title": "DeepSeek Harness (dsh) vs Qwen Code", "url": "https://www.anchorterminal.com/compare/deepseek-harness-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-letta.json", "title": "dsh-superagent (DeepSeek) vs Letta", "url": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-qwen-code.json", "title": "dsh-superagent (DeepSeek) vs Qwen Code", "url": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/devin-vs-letta.json", "title": "Devin vs Letta", "url": "https://www.anchorterminal.com/compare/devin-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/devin-vs-qwen-code.json", "title": "Devin vs Qwen Code", "url": "https://www.anchorterminal.com/compare/devin-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/droid-cli-vs-letta.json", "title": "Droid CLI vs Letta", "url": "https://www.anchorterminal.com/compare/droid-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/droid-cli-vs-qwen-code.json", "title": "Droid CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/droid-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-letta.json", "title": "Pi vs Letta", "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code.json", "title": "Pi vs Qwen Code", "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/emdash-vs-letta.json", "title": "Emdash vs Letta", "url": "https://www.anchorterminal.com/compare/emdash-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/emdash-vs-qwen-code.json", "title": "Emdash vs Qwen Code", "url": "https://www.anchorterminal.com/compare/emdash-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/gemini-cli-vs-letta.json", "title": "Gemini CLI vs Letta", "url": "https://www.anchorterminal.com/compare/gemini-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.json", "title": "Gemini CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-letta.json", "title": "GitHub Copilot CLI vs Letta", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code.json", "title": "GitHub Copilot CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-letta.json", "title": "goose vs Letta", "url": "https://www.anchorterminal.com/compare/goose-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-qwen-code.json", "title": "goose vs Qwen Code", "url": "https://www.anchorterminal.com/compare/goose-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-letta.json", "title": "Harness² vs Letta", "url": "https://www.anchorterminal.com/compare/harness2-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-qwen-code.json", "title": "Harness² vs Qwen Code", "url": "https://www.anchorterminal.com/compare/harness2-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/harnessrouter-vs-letta.json", "title": "HarnessRouter vs Letta", "url": "https://www.anchorterminal.com/compare/harnessrouter-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/harnessrouter-vs-qwen-code.json", "title": "HarnessRouter vs Qwen Code", "url": "https://www.anchorterminal.com/compare/harnessrouter-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/jules-vs-letta.json", "title": "Jules vs Letta", "url": "https://www.anchorterminal.com/compare/jules-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/jules-vs-qwen-code.json", "title": "Jules vs Qwen Code", "url": "https://www.anchorterminal.com/compare/jules-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/junie-vs-letta.json", "title": "Junie CLI vs Letta", "url": "https://www.anchorterminal.com/compare/junie-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/junie-vs-qwen-code.json", "title": "Junie CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/junie-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-letta.json", "title": "Kilo Code CLI vs Letta", "url": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-qwen-code.json", "title": "Kilo Code CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-letta.json", "title": "Kimi Code CLI vs Letta", "url": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-qwen-code.json", "title": "Kimi Code CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/kiro-cli-vs-letta.json", "title": "Kiro CLI vs Letta", "url": "https://www.anchorterminal.com/compare/kiro-cli-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code.json", "title": "Kiro CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-mini-swe-agent.json", "title": "Letta vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/letta-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-minimax-code.json", "title": "Letta vs MiniMax Code", "url": "https://www.anchorterminal.com/compare/letta-vs-minimax-code" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-mistral-vibe-cli.json", "title": "Letta vs Mistral Vibe CLI", "url": "https://www.anchorterminal.com/compare/letta-vs-mistral-vibe-cli" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-muse-code.json", "title": "Letta vs Muse Code", "url": "https://www.anchorterminal.com/compare/letta-vs-muse-code" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-openai-agents-api.json", "title": "Letta vs OpenAI Agents API", "url": "https://www.anchorterminal.com/compare/letta-vs-openai-agents-api" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-openai-codex.json", "title": "Letta vs OpenAI Codex", "url": "https://www.anchorterminal.com/compare/letta-vs-openai-codex" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-opencode.json", "title": "Letta vs OpenCode", "url": "https://www.anchorterminal.com/compare/letta-vs-opencode" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-openhands.json", "title": "Letta vs OpenHands", "url": "https://www.anchorterminal.com/compare/letta-vs-openhands" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-openmausbot.json", "title": "Letta vs OpenMausBot", "url": "https://www.anchorterminal.com/compare/letta-vs-openmausbot" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-orca.json", "title": "Letta vs Orca", "url": "https://www.anchorterminal.com/compare/letta-vs-orca" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-paseo.json", "title": "Letta vs Paseo", "url": "https://www.anchorterminal.com/compare/letta-vs-paseo" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-prime-agent.json", "title": "Letta vs Prime Agent", "url": "https://www.anchorterminal.com/compare/letta-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-qoder-cli.json", "title": "Letta vs Qoder CLI", "url": "https://www.anchorterminal.com/compare/letta-vs-qoder-cli" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-reflection-mirror.json", "title": "Letta vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/letta-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-rovo-dev-cli.json", "title": "Letta vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/letta-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-sculptor.json", "title": "Letta vs Sculptor", "url": "https://www.anchorterminal.com/compare/letta-vs-sculptor" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-t3-code.json", "title": "Letta vs T3 Code", "url": "https://www.anchorterminal.com/compare/letta-vs-t3-code" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-traycer.json", "title": "Letta vs Traycer", "url": "https://www.anchorterminal.com/compare/letta-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-unstoppable.json", "title": "Letta vs Unstoppable", "url": "https://www.anchorterminal.com/compare/letta-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-verdent.json", "title": "Letta vs Verdent", "url": "https://www.anchorterminal.com/compare/letta-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-vibe-trading.json", "title": "Letta vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/letta-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-warp.json", "title": "Letta vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/letta-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-qwen-code.json", "title": "mini-swe-agent vs Qwen Code", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/minimax-code-vs-qwen-code.json", "title": "MiniMax Code vs Qwen Code", "url": "https://www.anchorterminal.com/compare/minimax-code-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-qwen-code.json", "title": "Mistral Vibe CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/muse-code-vs-qwen-code.json", "title": "Muse Code vs Qwen Code", "url": "https://www.anchorterminal.com/compare/muse-code-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.json", "title": "OpenAI Agents API vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.json", "title": "OpenAI Codex vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/opencode-vs-qwen-code.json", "title": "OpenCode vs Qwen Code", "url": "https://www.anchorterminal.com/compare/opencode-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/openhands-vs-qwen-code.json", "title": "OpenHands vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openhands-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/orca-vs-qwen-code.json", "title": "Orca vs Qwen Code", "url": "https://www.anchorterminal.com/compare/orca-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/paseo-vs-qwen-code.json", "title": "Paseo vs Qwen Code", "url": "https://www.anchorterminal.com/compare/paseo-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code.json", "title": "Prime Agent vs Qwen Code", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/qoder-cli-vs-qwen-code.json", "title": "Qoder CLI vs Qwen Code", "url": "https://www.anchorterminal.com/compare/qoder-cli-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-reflection-mirror.json", "title": "Qwen Code vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-rovo-dev-cli.json", "title": "Qwen Code vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-sculptor.json", "title": "Qwen Code vs Sculptor", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-sculptor" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-t3-code.json", "title": "Qwen Code vs T3 Code", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-t3-code" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-traycer.json", "title": "Qwen Code vs Traycer", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-traycer" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-unstoppable.json", "title": "Qwen Code vs Unstoppable", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-verdent.json", "title": "Qwen Code vs Verdent", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-vibe-trading.json", "title": "Qwen Code vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/qwen-code-vs-warp.json", "title": "Qwen Code vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/qwen-code-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-letta.json", "title": "Clawboo vs Letta", "url": "https://www.anchorterminal.com/compare/clawboo-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-qwen-code.json", "title": "Clawboo vs Qwen Code", "url": "https://www.anchorterminal.com/compare/clawboo-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-letta.json", "title": "CLI Manager vs Letta", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code.json", "title": "CLI Manager vs Qwen Code", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-letta.json", "title": "Harness vs Letta", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-letta" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code.json", "title": "Harness vs Qwen Code", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-paperclip.json", "title": "Letta vs Paperclip", "url": "https://www.anchorterminal.com/compare/letta-vs-paperclip" }, { "json": "https://www.anchorterminal.com/compare/letta-vs-parallax-agents.json", "title": "Letta vs Parallax", "url": "https://www.anchorterminal.com/compare/letta-vs-parallax-agents" }, { "json": "https://www.anchorterminal.com/compare/openmausbot-vs-qwen-code.json", "title": "OpenMausBot vs Qwen Code", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.json", "title": "Paperclip vs Qwen Code", "url": "https://www.anchorterminal.com/compare/paperclip-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code.json", "title": "Parallax vs Qwen Code", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code" } ], "panel": null, "scores": [ { "by": 11, "edge": "qwen-code", "key": "reliability", "letta": 58, "name": "Reliability", "qwen-code": 69, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 21, "edge": "qwen-code", "key": "schema", "letta": 70, "name": "Schema \u0026 documentation", "qwen-code": 91, "weight": 13 }, { "by": 18, "edge": "qwen-code", "key": "ergonomics", "letta": 67, "name": "Agent ergonomics", "qwen-code": 85, "weight": 13 }, { "by": 18, "edge": "qwen-code", "key": "security", "letta": 35, "name": "Security \u0026 auth", "qwen-code": 53, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "letta": 60, "name": "Payments \u0026 pricing", "qwen-code": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 3, "edge": "qwen-code", "key": "maintenance", "letta": 85, "name": "Maintenance \u0026 community", "qwen-code": 88, "weight": 7 }, { "by": 11, "edge": "qwen-code", "key": "transparency", "letta": 55, "name": "Transparency \u0026 trust", "qwen-code": 66, "weight": 7 } ], "summary": "Qwen Code scores 68.7 (B) on agent readiness against Letta's 59.7 (C), and leads in 6 of 7 scored categories. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "letta": "Letta's open-source harness gives agents git-tracked memory blocks, skills, subagents and headless JSON runs, with a $0 plan and public per-agent API prices. It starts in the unrestricted permission mode, defaults to Letta Cloud, sends usage telemetry unless LETTA_CODE_TELEM=0 is set, and the V1 API server the comparisons describe is retired.", "qwen-code": "Apache-2.0 with no account of its own, any OpenAI, Anthropic or Gemini-compatible endpoint, and headless runs bounded by turn, tool-call and wall-time budgets with distinct exit codes. Out of the box, Auto mode lets an LLM classifier approve tool calls, with the sandbox and folder trust both off. Security fixes ship as changelog lines without advisories." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/letta-vs-qwen-code", "json": "https://www.anchorterminal.com/compare/letta-vs-qwen-code.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/letta-vs-qwen-code.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/letta-vs-qwen-code.min.md" }, "markdown": "Qwen Code scores 68.7 (B) on agent readiness against Letta's 59.7 (C), and leads in 6 of 7 scored categories. Both do agent harnesses.\n\n- Letta: grade C, 59.7/100, rank #687 of 1510. Markdown https://www.anchorterminal.com/tools/letta.md · JSON https://www.anchorterminal.com/api/v1/tools/letta.json\n- Qwen Code: grade B, 68.7/100, rank #274 of 1510. Markdown https://www.anchorterminal.com/tools/qwen-code.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 353 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Letta (C)\n\nGood for: Long-lived coding agents and assistants that keep memory and identity across sessions and machines.\n\nAlso in its favour:\n- Runs on your own machine\n- No incidents deducted, where Qwen Code loses 4 points for them\n\nWatch for: The default permission mode is `unrestricted`, the renamed `bypassPermissions`, so tool calls aren't confirmed unless the user picks another mode\n\n### Qwen Code (B)\n\nGood for: Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.\n\nAhead on:\n- Reliability, 69 against 58\n- Schema \u0026 documentation, 91 against 70\n- Agent ergonomics, 85 against 67\n- Security \u0026 auth, 53 against 35\n- Transparency \u0026 trust, 66 against 55\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default\n\n\n## Why the edge\n\n### Schema \u0026 documentation: Qwen Code +21\n\n- Letta (70): Harness reading. docs.letta.com serves llms.txt and a Markdown version of every page, with an `applies_to` block saying which backend and interface each page covers (10). TypeScript types for the Agent SDK and a documented App Server WebSocket protocol, but no JSON Schema or OpenAPI for the harness (15 of 25). Pages say when to use local or cloud backends, subagents and channels (14 of 20). Permission modes and options are typed in the SDK (12 of 15). Example applications and a remote client reference (11 of 15). Releases most days but no changelog file (8 of 15). Total 70.\n- Qwen Code (91): Framework reading. A settings.schema.json in the repository, a settings reference with the type and default of each key, and an OpenAPI file for the daemon's REST API (25). llms.txt on the docs site lists the pages with a line each, though it links to HTML and the Markdown path we tried returned 404 (8). The approval-mode page says when to use each mode and the sandbox page what each method and Seatbelt profile allows (15). Approval modes, sandbox backends, filesystem and network policies are enums (13). The headless page documents json and stream-json output, and exit codes 41, 42, 44, 52, 53, 55 and 130 are documented (15). A dated changelog generated from releases (15).\n\n### Agent ergonomics: Qwen Code +18\n\n- Letta (67): Harness reading. Toolsets switch with `/model`, skills load per agent, and subagents run in the background (18 of 25). Context is managed through memory blocks, reflection and dreaming (12 of 20). `letta -p --output-format json` for scripted runs and an App Server for programmatic control (12 of 20). Conversations resume by agent and conversation id, and memory is git-tracked so changes can be reverted (15 of 20). Runs with no account on the local backend, with one SDK language, TypeScript (10 of 15). Total 67.\n- Qwen Code (85): Framework reading, adapted to a harness driven by a pipeline. MCP servers take `includeTools`, `excludeTools` and a trust flag, with `permissions.allow`, `ask` and `deny` rules and `--exclude-tools` (20). Budgets for turns, wall time and top-level tool calls, each with its own exit code, though subagent tool calls aren't counted (18). Documented exit codes (18). `--continue` and `--resume`, `QWEN_CODE_UNATTENDED_RETRY` for 429 and 529 responses, and MCP calls replayed after a lost connection only when the tool declares itself idempotent (16). A TypeScript SDK on npm at 0.1.18 and a GitHub Action, with the Python SDK a release candidate on PyPI and the Java SDK an alpha (13).\n\n### Security \u0026 auth: Qwen Code +18\n\n- Letta (35): Harness reading of the framework checklist, as for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for injection posture, 15 for audit and 20 for the security programme. Letta Cloud is the default backend, so agent state and conversations go to Letta's servers, and telemetry is on by default (10 of 30). The default permission mode is `unrestricted`; `standard`, `acceptEdits` and `strict` are opt-in, and cloud sandboxes exist for remote work (4 of 20). No prompt-injection guidance found for fetched pages or channel messages (5 of 15). Conversation search and git history of memory give an operator a record of what the agent saw and changed (10 of 15). SECURITY.md routes reports to support@letta.com and scopes out the retired server; no security.txt, bounty or certification found (6 of 20). Total 35.\n- Qwen Code (53): Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. Usage statistics are on by default (`privacy.usageStatisticsEnabled` defaults to true in the settings schema at 0.26.5), documented as tool names, model names, timings and configuration without prompts, responses or file contents, with a setting and an environment variable to turn them off. Credentials are API keys in environment variables or settings.json (15). Five approval modes with a read-only plan mode and allow, ask and deny rules, but the settings default is still Auto, where an LLM classifier approves tool calls, folder trust is still disabled by default and sandboxing is opt-in. Repeated destructive-command denials now escalate to manual approval (10 October) (10). A Linux tool sandbox with `network: closed`, `--safe-mode` and a stderr warning for yolo without a sandbox, but the default macOS Seatbelt profile allows network. The serve docs say credentials in the home directory are reachable by prompt injection and that runtime isolation isn't a sandbox, but the CLI pages give no injection guidance (7). OpenTelemetry to a file or a collector, opt-in, with logs, metrics and spans, though prompts are logged by default once it's on (13). SECURITY.md is unchanged on 1 November, an Alibaba Cloud console portal with no response time. Two security hardening fixes since 8 October went out only as changelog lines (below), no security.txt was found, and CodeQL and a monthly scorecard run in CI. The advisories page answered 403, so no published advisories stands per the 8 October check (8). 15 + 10 + 7 + 13 + 8 = 53.\n\n### Reliability: Qwen Code +11\n\n- Letta (58): Local-software lines, read for the harness. `@letta-ai/letta-code` on npm with Node.js 22.19 or newer, and PyPI wheels for glibc Linux, macOS 14 and Windows x64 with Python 3.9 or newer stated (20). ci.yml, nightly update smoke tests and Telegram live smoke tests exist, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 332 open issues and pull requests, mostly pull requests; recent bug reports such as recall reading the wrong conversation have no reply yet (15 of 25). 398 tags at 0.34.x with release notes on GitHub, no changelog file, and breaking removals such as AgentFile announced in the README (8 of 15). Pre-1.0 (0). Total 58.\n- Qwen Code (69): Local-package reading. npm with engines node 22 or newer (re-read in package.json at 0.26.5), Homebrew at 0.26.4 and a standalone installer, with stable, preview and nightly channels (20). Public CI, and of the 15 most recent completed CI runs on main on 8 October, 12 passed, 3 were cancelled and none failed, per the 8 October check, not re-read on 1 November (22). 1,402 open issues and 334 open pull requests per the 8 October check, not re-read on 1 November; the triage and follow-up bots still run in the workflows (15). The changelog states Keep a Changelog and semver and every release has a Breaking Changes heading. Breaking changes shipped in patch releases 0.23.4 and 0.24.1, and again in 0.26.1 (24 October, QQ bot session isolation) and 0.26.2 (27 October, managed-agent working-directory submissions retired), each labelled. All are 0.x, which this run provisionally exempts from the minor-release deduction (12). 0.26.5, pre-1.0 (0). 20 + 22 + 15 + 12 + 0 = 69.\n\n### Transparency \u0026 trust: Qwen Code +11\n\n- Letta (55): Apache-2.0 (30). The privacy policy has no date, no legal entity and no retention periods, and says hosted message data may train future models (8 of 30). The README and docs mark AgentFile, the Electron app and the V1 server as deprecated or retired, without dated notice periods (12 of 20). Telemetry is described in the privacy policy only as basic and opt-out when supported; the LETTA_CODE_TELEM=0 switch appears only in the source (5 of 20). Total 55.\n- Qwen Code (66): Apache-2.0 (30). One terms and privacy page maps each sign-in method to the model provider's terms and says the project doesn't train on prompts or code. Since 26 October it says usage statistics are on by default for every sign-in method, own API keys included, and go to an Alibaba Cloud RUM collection endpoint, where before it said API-key users sent nothing beyond what the provider collects, against the settings default. It still gives no retention period and names no legal entity (20, was 18). The end of the Qwen OAuth free tier is dated 15 April 2026 and `tools.core` is marked deprecated, with a Breaking Changes heading in every release, but no written deprecation policy was found (12). Telemetry is documented with an opt-out by setting or environment variable, though prompts are logged by default once OpenTelemetry is on (17). 30 + 20 + 12 + 17 = 79.\n\n## Score by category\n\n| Category | Weight | Letta | Qwen Code | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 58 | 69 | Qwen Code +11 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 91 | Qwen Code +21 |\n| Agent ergonomics | 13% (16.2 this run) | 67 | 85 | Qwen Code +18 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 53 | Qwen Code +18 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 88 | Qwen Code +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 66 | Qwen Code +11 |\n| Negative events | ≤15 | 0 | -4 | |\n| **Total** | | **59.7 · C** | **68.7 · B** | |\n\n## Facts side by side\n\n| Fact | Letta | Qwen Code |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Letta | Alibaba (Qwen team) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | stdio | |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-06 | 2026-11-01 |\n| Terms last updated | no date given | 2026-10-01 |\n| Privacy policy last updated | no date given | 2026-10-01 |\n| Customer content may train models | not found in the text | not found in the text |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 3.8k stars, 86k npm/wk, 2.2k PyPI/wk | 28k stars, 105k npm/wk |\n| Agent reviews | none | 2.8/5 (4) |\n\n## How the scores have moved\n\n### Letta\n\nNo score change since it was listed.\n\n### Qwen Code\n\n- -3.9 on 1 November 2026 (BB to B): terms, negative event\n- +0.1 on 28 October 2026: new evidence\n- +0.1 on 27 October 2026: checklist\n\n## Verdicts\n\n**Letta.** Letta's open-source harness gives agents git-tracked memory blocks, skills, subagents and headless JSON runs, with a $0 plan and public per-agent API prices. It starts in the unrestricted permission mode, defaults to Letta Cloud, sends usage telemetry unless LETTA_CODE_TELEM=0 is set, and the V1 API server the comparisons describe is retired.\n\n**Qwen Code.** Apache-2.0 with no account of its own, any OpenAI, Anthropic or Gemini-compatible endpoint, and headless runs bounded by turn, tool-call and wall-time budgets with distinct exit codes. Out of the box, Auto mode lets an LLM classifier approve tool calls, with the sandbox and folder trust both off. Security fixes ship as changelog lines without advisories.\n\n## Before you call either\n\n### Letta\n\n1. Start headless runs with an explicit permission mode such as `standard` or `strict`; the default auto-approves tools\n2. Pass `--backend local` for work that must stay on the machine, since Letta Cloud is the default\n3. Set LETTA_CODE_TELEM=0 in unattended runs if usage events must not be sent\n4. Use `letta -p --output-format json` for scripted runs and parse the JSON, not the terminal output\n5. Don't plan on the retired V1 REST server or `.af` AgentFile import; both are gone\n\n### Qwen Code\n\n1. Pass `--approval-mode` on every run. The settings default is `auto`, and one docs page says headless runs default to asking, so don't rely on either\n2. Add `--max-session-turns`, `--max-wall-time` and `--max-tool-calls`. All three are unlimited by default. Exit 53 is the turn limit and 55 a budget\n3. `--yolo` doesn't turn on a sandbox. Add `--sandbox`, or on Linux set `tools.executionSandbox` with `network` set to `closed`\n4. Set `QWEN_USAGE_STATISTICS_ENABLED=false` to stop usage statistics\n5. Run 0.26.2 or later before using `qwen serve` in a cloned repository. Earlier versions let the repository's `.env` set the daemon token\n\n## Questions\n\n### Which is better for AI agents, Letta or Qwen Code?\n\nQwen Code scores 68.7 (B) on agent readiness against Letta's 59.7 (C), and leads in 6 of 7 scored categories.\n\n### Are Letta and Qwen Code open source?\n\nYes. Letta is open source (Apache-2.0). Qwen Code is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/letta-vs-qwen-code.json, and with the fewest tokens: https://www.anchorterminal.com/compare/letta-vs-qwen-code.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"letta\", \"b\": \"qwen-code\"}`. From a terminal: `anchor compare letta qwen-code`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/letta.json and https://www.anchorterminal.com/api/v1/tools/qwen-code.json\n\n## Other comparisons with Letta or Qwen Code\n\n- [Agent Zero vs Letta](https://www.anchorterminal.com/compare/agent-zero-vs-letta.md)\n- [Agent Zero vs Qwen Code](https://www.anchorterminal.com/compare/agent-zero-vs-qwen-code.md)\n- [Aider vs Letta](https://www.anchorterminal.com/compare/aider-vs-letta.md)\n- [Aider vs Qwen Code](https://www.anchorterminal.com/compare/aider-vs-qwen-code.md)\n- [Amp vs Letta](https://www.anchorterminal.com/compare/amp-vs-letta.md)\n- [Amp vs Qwen Code](https://www.anchorterminal.com/compare/amp-vs-qwen-code.md)\n- [Antigravity CLI vs Letta](https://www.anchorterminal.com/compare/antigravity-cli-vs-letta.md)\n- [Antigravity CLI vs Qwen Code](https://www.anchorterminal.com/compare/antigravity-cli-vs-qwen-code.md)\n- [Auggie CLI vs Letta](https://www.anchorterminal.com/compare/auggie-vs-letta.md)\n- [Auggie CLI vs Qwen Code](https://www.anchorterminal.com/compare/auggie-vs-qwen-code.md)\n- [AXLR vs Letta](https://www.anchorterminal.com/compare/axlr-vs-letta.md)\n- [AXLR vs Qwen Code](https://www.anchorterminal.com/compare/axlr-vs-qwen-code.md)\n- [Claude Code vs Letta](https://www.anchorterminal.com/compare/claude-code-vs-letta.md)\n- [Claude Code vs Qwen Code](https://www.anchorterminal.com/compare/claude-code-vs-qwen-code.md)\n- [Cline vs Letta](https://www.anchorterminal.com/compare/cline-vs-letta.md)\n- [Cline vs Qwen Code](https://www.anchorterminal.com/compare/cline-vs-qwen-code.md)\n- [Conductor vs Letta](https://www.anchorterminal.com/compare/conductor-vs-letta.md)\n- [Conductor vs Qwen Code](https://www.anchorterminal.com/compare/conductor-vs-qwen-code.md)\n- [Crush vs Letta](https://www.anchorterminal.com/compare/crush-vs-letta.md)\n- [Crush vs Qwen Code](https://www.anchorterminal.com/compare/crush-vs-qwen-code.md)\n- [Cursor CLI vs Letta](https://www.anchorterminal.com/compare/cursor-cli-vs-letta.md)\n- [Cursor CLI vs Qwen Code](https://www.anchorterminal.com/compare/cursor-cli-vs-qwen-code.md)\n- [DeepSeek Harness (dsh) vs Letta](https://www.anchorterminal.com/compare/deepseek-harness-vs-letta.md)\n- [DeepSeek Harness (dsh) vs Qwen Code](https://www.anchorterminal.com/compare/deepseek-harness-vs-qwen-code.md)\n- [dsh-superagent (DeepSeek) vs Letta](https://www.anchorterminal.com/compare/deepseek-superagent-vs-letta.md)\n- [dsh-superagent (DeepSeek) vs Qwen Code](https://www.anchorterminal.com/compare/deepseek-superagent-vs-qwen-code.md)\n- [Devin vs Letta](https://www.anchorterminal.com/compare/devin-vs-letta.md)\n- [Devin vs Qwen Code](https://www.anchorterminal.com/compare/devin-vs-qwen-code.md)\n- [Droid CLI vs Letta](https://www.anchorterminal.com/compare/droid-cli-vs-letta.md)\n- [Droid CLI vs Qwen Code](https://www.anchorterminal.com/compare/droid-cli-vs-qwen-code.md)\n- [Pi vs Letta](https://www.anchorterminal.com/compare/earendil-pi-vs-letta.md)\n- [Pi vs Qwen Code](https://www.anchorterminal.com/compare/earendil-pi-vs-qwen-code.md)\n- [Emdash vs Letta](https://www.anchorterminal.com/compare/emdash-vs-letta.md)\n- [Emdash vs Qwen Code](https://www.anchorterminal.com/compare/emdash-vs-qwen-code.md)\n- [Gemini CLI vs Letta](https://www.anchorterminal.com/compare/gemini-cli-vs-letta.md)\n- [Gemini CLI vs Qwen Code](https://www.anchorterminal.com/compare/gemini-cli-vs-qwen-code.md)\n- [GitHub Copilot CLI vs Letta](https://www.anchorterminal.com/compare/github-copilot-cli-vs-letta.md)\n- [GitHub Copilot CLI vs Qwen Code](https://www.anchorterminal.com/compare/github-copilot-cli-vs-qwen-code.md)\n- [goose vs Letta](https://www.anchorterminal.com/compare/goose-vs-letta.md)\n- [goose vs Qwen Code](https://www.anchorterminal.com/compare/goose-vs-qwen-code.md)\n- [Harness² vs Letta](https://www.anchorterminal.com/compare/harness2-vs-letta.md)\n- [Harness² vs Qwen Code](https://www.anchorterminal.com/compare/harness2-vs-qwen-code.md)\n- [HarnessRouter vs Letta](https://www.anchorterminal.com/compare/harnessrouter-vs-letta.md)\n- [HarnessRouter vs Qwen Code](https://www.anchorterminal.com/compare/harnessrouter-vs-qwen-code.md)\n- [Jules vs Letta](https://www.anchorterminal.com/compare/jules-vs-letta.md)\n- [Jules vs Qwen Code](https://www.anchorterminal.com/compare/jules-vs-qwen-code.md)\n- [Junie CLI vs Letta](https://www.anchorterminal.com/compare/junie-vs-letta.md)\n- [Junie CLI vs Qwen Code](https://www.anchorterminal.com/compare/junie-vs-qwen-code.md)\n- [Kilo Code CLI vs Letta](https://www.anchorterminal.com/compare/kilo-code-cli-vs-letta.md)\n- [Kilo Code CLI vs Qwen Code](https://www.anchorterminal.com/compare/kilo-code-cli-vs-qwen-code.md)\n- [Kimi Code CLI vs Letta](https://www.anchorterminal.com/compare/kimi-code-cli-vs-letta.md)\n- [Kimi Code CLI vs Qwen Code](https://www.anchorterminal.com/compare/kimi-code-cli-vs-qwen-code.md)\n- [Kiro CLI vs Letta](https://www.anchorterminal.com/compare/kiro-cli-vs-letta.md)\n- [Kiro CLI vs Qwen Code](https://www.anchorterminal.com/compare/kiro-cli-vs-qwen-code.md)\n- [Letta vs mini-swe-agent](https://www.anchorterminal.com/compare/letta-vs-mini-swe-agent.md)\n- [Letta vs MiniMax Code](https://www.anchorterminal.com/compare/letta-vs-minimax-code.md)\n- [Letta vs Mistral Vibe CLI](https://www.anchorterminal.com/compare/letta-vs-mistral-vibe-cli.md)\n- [Letta vs Muse Code](https://www.anchorterminal.com/compare/letta-vs-muse-code.md)\n- [Letta vs OpenAI Agents API](https://www.anchorterminal.com/compare/letta-vs-openai-agents-api.md)\n- [Letta vs OpenAI Codex](https://www.anchorterminal.com/compare/letta-vs-openai-codex.md)\n- [Letta vs OpenCode](https://www.anchorterminal.com/compare/letta-vs-opencode.md)\n- [Letta vs OpenHands](https://www.anchorterminal.com/compare/letta-vs-openhands.md)\n- [Letta vs OpenMausBot](https://www.anchorterminal.com/compare/letta-vs-openmausbot.md)\n- [Letta vs Orca](https://www.anchorterminal.com/compare/letta-vs-orca.md)\n- [Letta vs Paseo](https://www.anchorterminal.com/compare/letta-vs-paseo.md)\n- [Letta vs Prime Agent](https://www.anchorterminal.com/compare/letta-vs-prime-agent.md)\n- [Letta vs Qoder CLI](https://www.anchorterminal.com/compare/letta-vs-qoder-cli.md)\n- [Letta vs Mirror CLI](https://www.anchorterminal.com/compare/letta-vs-reflection-mirror.md)\n- [Letta vs Rovo Dev CLI](https://www.anchorterminal.com/compare/letta-vs-rovo-dev-cli.md)\n- [Letta vs Sculptor](https://www.anchorterminal.com/compare/letta-vs-sculptor.md)\n- [Letta vs T3 Code](https://www.anchorterminal.com/compare/letta-vs-t3-code.md)\n- [Letta vs Traycer](https://www.anchorterminal.com/compare/letta-vs-traycer.md)\n- [Letta vs Unstoppable](https://www.anchorterminal.com/compare/letta-vs-unstoppable.md)\n- [Letta vs Verdent](https://www.anchorterminal.com/compare/letta-vs-verdent.md)\n- [Letta vs Vibe-Trading](https://www.anchorterminal.com/compare/letta-vs-vibe-trading.md)\n- [Letta vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/letta-vs-warp.md)\n- [mini-swe-agent vs Qwen Code](https://www.anchorterminal.com/compare/mini-swe-agent-vs-qwen-code.md)\n- [MiniMax Code vs Qwen Code](https://www.anchorterminal.com/compare/minimax-code-vs-qwen-code.md)\n- [Mistral Vibe CLI vs Qwen Code](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-qwen-code.md)\n- [Muse Code vs Qwen Code](https://www.anchorterminal.com/compare/muse-code-vs-qwen-code.md)\n- [OpenAI Agents API vs Qwen Code](https://www.anchorterminal.com/compare/openai-agents-api-vs-qwen-code.md)\n- [OpenAI Codex vs Qwen Code](https://www.anchorterminal.com/compare/openai-codex-vs-qwen-code.md)\n- [OpenCode vs Qwen Code](https://www.anchorterminal.com/compare/opencode-vs-qwen-code.md)\n- [OpenHands vs Qwen Code](https://www.anchorterminal.com/compare/openhands-vs-qwen-code.md)\n- [Orca vs Qwen Code](https://www.anchorterminal.com/compare/orca-vs-qwen-code.md)\n- [Paseo vs Qwen Code](https://www.anchorterminal.com/compare/paseo-vs-qwen-code.md)\n- [Prime Agent vs Qwen Code](https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code.md)\n- [Qoder CLI vs Qwen Code](https://www.anchorterminal.com/compare/qoder-cli-vs-qwen-code.md)\n- [Qwen Code vs Mirror CLI](https://www.anchorterminal.com/compare/qwen-code-vs-reflection-mirror.md)\n- [Qwen Code vs Rovo Dev CLI](https://www.anchorterminal.com/compare/qwen-code-vs-rovo-dev-cli.md)\n- [Qwen Code vs Sculptor](https://www.anchorterminal.com/compare/qwen-code-vs-sculptor.md)\n- [Qwen Code vs T3 Code](https://www.anchorterminal.com/compare/qwen-code-vs-t3-code.md)\n- [Qwen Code vs Traycer](https://www.anchorterminal.com/compare/qwen-code-vs-traycer.md)\n- [Qwen Code vs Unstoppable](https://www.anchorterminal.com/compare/qwen-code-vs-unstoppable.md)\n- [Qwen Code vs Verdent](https://www.anchorterminal.com/compare/qwen-code-vs-verdent.md)\n- [Qwen Code vs Vibe-Trading](https://www.anchorterminal.com/compare/qwen-code-vs-vibe-trading.md)\n- [Qwen Code vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/qwen-code-vs-warp.md)\n- [Clawboo vs Letta](https://www.anchorterminal.com/compare/clawboo-vs-letta.md)\n- [Clawboo vs Qwen Code](https://www.anchorterminal.com/compare/clawboo-vs-qwen-code.md)\n- [CLI Manager vs Letta](https://www.anchorterminal.com/compare/cli-manager-vs-letta.md)\n- [CLI Manager vs Qwen Code](https://www.anchorterminal.com/compare/cli-manager-vs-qwen-code.md)\n- [Harness vs Letta](https://www.anchorterminal.com/compare/harness-autonomous-vs-letta.md)\n- [Harness vs Qwen Code](https://www.anchorterminal.com/compare/harness-autonomous-vs-qwen-code.md)\n- [Letta vs Paperclip](https://www.anchorterminal.com/compare/letta-vs-paperclip.md)\n- [Letta vs Parallax](https://www.anchorterminal.com/compare/letta-vs-parallax-agents.md)\n- [OpenMausBot vs Qwen Code](https://www.anchorterminal.com/compare/openmausbot-vs-qwen-code.md)\n- [Paperclip vs Qwen Code](https://www.anchorterminal.com/compare/paperclip-vs-qwen-code.md)\n- [Parallax vs Qwen Code](https://www.anchorterminal.com/compare/parallax-agents-vs-qwen-code.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Letta vs Qwen Code", "url": "" } ], "description": "Qwen Code scores 68.7 (B) to Letta's 59.7 (C) for agent harnesses. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Letta C 59.7", "Qwen Code B 68.7", "scores" ], "h1": "Letta vs Qwen Code", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/letta-vs-qwen-code", "published": "2026-10-01", "section": "tools", "title": "Letta vs Qwen Code for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/letta-vs-qwen-code" }, "tokens": { "markdown": 6400, "slim": 2630 }, "version": 1 }