{ "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": "Letta scores 59.7 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories.", "b": { "slug": "verdent", "name": "Verdent", "vendor": "Verdent AI, Inc.", "vendorUrl": "https://www.verdent.ai", "kind": "harness", "category": "agent-harnesses", "summary": "Verdent is a coding agent from Verdent AI, Inc., with a desktop app for macOS and Windows, VS Code and JetBrains extensions and a browser edition. It plans tasks, runs parallel workers in git worktrees and uses MCP servers.", "url": "https://www.anchorterminal.com/tools/verdent", "markdownUrl": "https://www.anchorterminal.com/tools/verdent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/verdent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/verdent.json", "dns": "verdent.grade.anchorterminal.com", "license": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published", "transports": [], "packages": [], "auth": "mixed", "authNotes": "A person signs in to a Verdent account with Google, GitHub or email in a browser. Model use runs on Verdent credits through llm-proxy.verdent.ai, or on the user's own Anthropic, OpenAI or OpenRouter key (BYOK). BYOA runs workers on a local Claude Code or Codex CLI with keys kept on the machine. No API key or token for driving Verdent from another program was found.", "pricing": "paid", "pricingNotes": "From $5 a month (Lite), then $19 Starter, $59 Pro and $179 Max with 320, 1,000 and 3,000 credits a month (doubled by a limited-time bonus). One credit is about $0.059 at provider rates. Top-ups $20 for 340 credits to $200 for 3,400. Free Mode and the free trial ended with v2.18.0 on 29 October 2026.", "priceSummary": "$5 / mo", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs, pricing page, terms or changelog (checked 2026-11-06). Subscriptions and top-ups go through Stripe.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-06" }, "docsUrl": "https://www.verdent.ai/docs/verdent-manager/getting-started/overview", "capabilities": [ "agent.harness", "agent.multi-agent", "agent.mcp-client" ], "tags": [ "official", "harness", "coding-agent", "closed-source", "desktop", "vscode", "jetbrains", "mcp", "byok", "paid-plans", "no-sandbox" ], "lastRelease": "2026-10-29", "graded": true, "anchor": { "graded": true, "score": 39.7, "grade": "E", "agentReady": false, "rank": 1336, "ranked": true, "rankOf": 1510, "categoryRank": 53, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 35, "maintenance": 61, "payments": 20, "reliability": 43, "schema": 55, "security": 33, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": -2, "negativeNotes": [ "2026-11-06. The changelog says v2.18.0 of 29 October 2026 retired Free Mode, the free trial and the 100 welcome credits, while the pricing page FAQ read on 6 November still says \"Your free trial includes 100 credits\" and the 1.0 docs overview still lists a free trial. A stale claim on the vendor's own pricing page, 2 points. https://www.verdent.ai/pricing, https://www.verdent.ai/changelog" ], "verdict": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.", "bestFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.", "strengths": [ "Plan Mode is read-only and writes a plan.md for review before Agent Mode makes changes", "Parallel workers each run in their own git worktree, with a review column before work is accepted", "BYOA runs workers on a local Claude Code or Codex CLI, and BYOK takes Anthropic, OpenAI or OpenRouter keys", "Plan, top-up and per-credit prices are public, charged at provider token rates with no markup per the pricing page", "Every current docs page has a Markdown twin, and the changelog is dated by version" ], "weaknesses": [ "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot", "No sandbox or network restriction documented, and the actions that need approval aren't listed", "Free Mode and the free trial ended on 29 October 2026, while the pricing page FAQ still promises 100 trial credits", "Event logging to log.verdent.ai has no documented opt-out, and the privacy policy gives no retention periods", "SOC 2 and ISO/IEC 42001 are being pursued, not held, and there is no bug bounty or security.txt" ], "agentNotes": [ "Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode", "Start large changes in Plan Mode and review plan.md before switching to Agent Mode", "Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape", "Keep work under git, since rollback relies on git and there is no sandbox", "Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 39.7 } ], "editorialScores": { "ergonomics": 35, "maintenance": 61, "payments": 20, "reliability": 43, "schema": 55, "security": 33, "transparency": 47 }, "provenanceScore": 62, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "config": { "mcpServers": { "github": { "args": [ "-y", "@modelcontextprotocol/server-github" ], "command": "npx", "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}" } } } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/verdent" }, "area": "frameworks", "unitPrices": [ { "item": "Lite plan", "unit": "month", "usd": 5, "note": "Eco Mode models and light usage" }, { "item": "Starter plan", "unit": "month", "usd": 19, "note": "320 credits a month, 480 with the limited-time bonus" }, { "item": "Pro plan", "unit": "month", "usd": 59, "note": "1,000 credits a month, 1,500 with the bonus" }, { "item": "Max plan", "unit": "month", "usd": 179, "note": "3,000 credits a month, 4,500 with the bonus" }, { "item": "Credit", "unit": "credit", "usd": 0.059, "note": "About $0.059, charged at provider token prices with no markup per the pricing page" } ], "provenance": { "legalEntity": "Verdent AI, Inc.", "domain": "verdent.ai", "domainRegistered": "2025-05-06", "endpointOnVendorDomain": true, "terms": "https://www.verdent.ai/terms", "privacy": "https://www.verdent.ai/privacy", "statusPage": "", "changelog": "https://www.verdent.ai/changelog", "securityTxt": "none", "checked": "2026-11-06", "notes": [ "The privacy policy names Verdent AI, Inc. as data controller, and the terms choose California law.", "The terms forbid users to crawl, scrape or otherwise harvest data or information from the Services. Public pages were read once each.", "www.verdent.ai/robots.txt allows all crawlers.", "RDAP gives verdent.ai a registration date of 6 May 2025.", "/.well-known/security.txt returns 404, and status.verdent.ai did not answer. No status page found.", "The security page says SOC 2 and ISO/IEC 42001 are being pursued, not held, and takes vulnerability reports at hi@verdent.ai with acknowledgement within five business days." ], "score": 62 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/verdent.json", "live": { "slug": "verdent", "securityTxt": { "url": "https://verdent.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T15:59:33.272105482Z" }, "pages": [ { "url": "https://www.verdent.ai/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:36:28.662063151Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "bac05e4e426e" }, { "url": "https://www.verdent.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:36:31.354667853Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "3ec1d3c07d70" }, { "url": "https://www.verdent.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:36:33.295376926Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "206b6ec23a6a" } ], "updatedAt": "2026-11-07T15:59:33.272105482Z" } }, "edges": [ { "by": 40, "category": "payments", "leads": "letta", "name": "Payments \u0026 pricing", "reasons": { "a": "No x402, MPP or L402 (0 of 40). Per-unit API prices are public, $0.10 per active agent a month and $0.00015 a second of tool execution, plus plan prices (20). A $0 plan with bring-your-own keys; no card is mentioned (20). The CLI runs locally without signing in (20). Total 60.", "b": "Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20." }, "scores": { "a": 60, "b": 20 } }, { "by": 32, "category": "ergonomics", "leads": "letta", "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": "Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35." }, "scores": { "a": 67, "b": 35 } }, { "by": 24, "category": "maintenance", "leads": "letta", "name": "Maintenance \u0026 community", "reasons": { "a": "v0.34.42 on 6 November 2026 (30). Dozens of releases in 90 days (20). Pull requests are merged daily; recent issues from users have few replies (15 of 25). npm and PyPI packages and the Agent SDK track the releases (12 of 15). Lock files, CI and nightly smoke tests (8 of 10). Total 85.", "b": "Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61." }, "scores": { "a": 85, "b": 61 } }, { "by": 15, "category": "reliability", "leads": "letta", "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, as for the other closed-source harnesses. The desktop app installs from verdent.ai with macOS 11 or later and 64-bit Windows 10 and 11 stated, and the extension from the editor marketplaces, but not from a package registry (15). No public CI or test suite, since the source isn't published (0). No public issue tracker, every task runs through Verdent's servers, and no status page was found, so there is no readable record (5). A dated changelog by version, with the end of Free Mode called out in v2.18.0, but no breaking-change sections (8). 2.18.0, generally available (15). 15+0+5+8+15 = 43." }, "scores": { "a": 58, "b": 43 } }, { "by": 15, "category": "schema", "leads": "letta", "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 for a harness. No schema for settings or output, only mcp.json examples in the standard mcpServers shape (5). Every current docs page has a Markdown twin at the same path with .md, though no llms.txt (10). The docs say when to use Agent Mode or Plan Mode and what Plan Mode can't do, but the Agent Mode page lists the actions that need approval only as \"certain tool executions\" and \"destructive operations\" (12). Modes and BYOA agent types are enumerated, permissions are not (5). Examples on the MCP, BYOA and messaging pages, and a recovery page, with no error codes (8). Version numbers and a dated public changelog (15). The archived 1.0 docs are still served beside the current ones. 5+10+12+5+8+15 = 55." }, "scores": { "a": 70, "b": 55 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Letta", "b": "Verdent AI, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "stdio", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Paid", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0", "b": "Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-11-06", "b": "2026-10-29", "name": "Last release" }, { "a": "no date given", "b": "2026-05-25", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-05-26", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "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": "yes", "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": "none", "name": "Popularity" } ], "faq": [ { "answer": "Letta scores 59.7 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Letta or Verdent?" }, { "answer": "Letta is open source (Apache-2.0). No open-source release is listed for Verdent.", "question": "Are Letta and Verdent open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 58 against 43", "Schema \u0026 documentation, 70 against 55", "Agent ergonomics, 67 against 35", "Payments \u0026 pricing, 60 against 20", "Maintenance \u0026 community, 85 against 61" ], "also": [ "Runs on your own machine", "Open source" ], "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": null, "also": null, "goodFor": "A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.", "slug": "verdent", "watchFor": "No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot" } ], "history": null, "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-verdent.json", "title": "Agent Zero vs Verdent", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-verdent" }, { "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-verdent.json", "title": "Aider vs Verdent", "url": "https://www.anchorterminal.com/compare/aider-vs-verdent" }, { "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-verdent.json", "title": "Amp vs Verdent", "url": "https://www.anchorterminal.com/compare/amp-vs-verdent" }, { "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-verdent.json", "title": "Antigravity CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-verdent" }, { "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-verdent.json", "title": "Auggie CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/auggie-vs-verdent" }, { "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-verdent.json", "title": "AXLR vs Verdent", "url": "https://www.anchorterminal.com/compare/axlr-vs-verdent" }, { "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-verdent.json", "title": "Claude Code vs Verdent", "url": "https://www.anchorterminal.com/compare/claude-code-vs-verdent" }, { "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-verdent.json", "title": "Cline vs Verdent", "url": "https://www.anchorterminal.com/compare/cline-vs-verdent" }, { "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-verdent.json", "title": "Conductor vs Verdent", "url": "https://www.anchorterminal.com/compare/conductor-vs-verdent" }, { "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-verdent.json", "title": "Crush vs Verdent", "url": "https://www.anchorterminal.com/compare/crush-vs-verdent" }, { "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-verdent.json", "title": "Cursor CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/cursor-cli-vs-verdent" }, { "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-verdent.json", "title": "DeepSeek Harness (dsh) vs Verdent", "url": "https://www.anchorterminal.com/compare/deepseek-harness-vs-verdent" }, { "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-verdent.json", "title": "dsh-superagent (DeepSeek) vs Verdent", "url": "https://www.anchorterminal.com/compare/deepseek-superagent-vs-verdent" }, { "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-verdent.json", "title": "Devin vs Verdent", "url": "https://www.anchorterminal.com/compare/devin-vs-verdent" }, { "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-verdent.json", "title": "Droid CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/droid-cli-vs-verdent" }, { "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-verdent.json", "title": "Pi vs Verdent", "url": "https://www.anchorterminal.com/compare/earendil-pi-vs-verdent" }, { "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-verdent.json", "title": "Emdash vs Verdent", "url": "https://www.anchorterminal.com/compare/emdash-vs-verdent" }, { "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-verdent.json", "title": "Gemini CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/gemini-cli-vs-verdent" }, { "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-verdent.json", "title": "GitHub Copilot CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-verdent" }, { "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-verdent.json", "title": "goose vs Verdent", "url": "https://www.anchorterminal.com/compare/goose-vs-verdent" }, { "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-verdent.json", "title": "Harness² vs Verdent", "url": "https://www.anchorterminal.com/compare/harness2-vs-verdent" }, { "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-verdent.json", "title": "HarnessRouter vs Verdent", "url": "https://www.anchorterminal.com/compare/harnessrouter-vs-verdent" }, { "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-verdent.json", "title": "Jules vs Verdent", "url": "https://www.anchorterminal.com/compare/jules-vs-verdent" }, { "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-verdent.json", "title": "Junie CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/junie-vs-verdent" }, { "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-verdent.json", "title": "Kilo Code CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/kilo-code-cli-vs-verdent" }, { "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-verdent.json", "title": "Kimi Code CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/kimi-code-cli-vs-verdent" }, { "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-verdent.json", "title": "Kiro CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/kiro-cli-vs-verdent" }, { "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-qwen-code.json", "title": "Letta vs Qwen Code", "url": "https://www.anchorterminal.com/compare/letta-vs-qwen-code" }, { "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-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-verdent.json", "title": "mini-swe-agent vs Verdent", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/minimax-code-vs-verdent.json", "title": "MiniMax Code vs Verdent", "url": "https://www.anchorterminal.com/compare/minimax-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-verdent.json", "title": "Mistral Vibe CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/muse-code-vs-verdent.json", "title": "Muse Code vs Verdent", "url": "https://www.anchorterminal.com/compare/muse-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/openai-agents-api-vs-verdent.json", "title": "OpenAI Agents API vs Verdent", "url": "https://www.anchorterminal.com/compare/openai-agents-api-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/openai-codex-vs-verdent.json", "title": "OpenAI Codex vs Verdent", "url": "https://www.anchorterminal.com/compare/openai-codex-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/opencode-vs-verdent.json", "title": "OpenCode vs Verdent", "url": "https://www.anchorterminal.com/compare/opencode-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/openhands-vs-verdent.json", "title": "OpenHands vs Verdent", "url": "https://www.anchorterminal.com/compare/openhands-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/orca-vs-verdent.json", "title": "Orca vs Verdent", "url": "https://www.anchorterminal.com/compare/orca-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/paseo-vs-verdent.json", "title": "Paseo vs Verdent", "url": "https://www.anchorterminal.com/compare/paseo-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-verdent.json", "title": "Prime Agent vs Verdent", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/qoder-cli-vs-verdent.json", "title": "Qoder CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/qoder-cli-vs-verdent" }, { "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/reflection-mirror-vs-verdent.json", "title": "Mirror CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/reflection-mirror-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent.json", "title": "Rovo Dev CLI vs Verdent", "url": "https://www.anchorterminal.com/compare/rovo-dev-cli-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/sculptor-vs-verdent.json", "title": "Sculptor vs Verdent", "url": "https://www.anchorterminal.com/compare/sculptor-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/t3-code-vs-verdent.json", "title": "T3 Code vs Verdent", "url": "https://www.anchorterminal.com/compare/t3-code-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/traycer-vs-verdent.json", "title": "Traycer vs Verdent", "url": "https://www.anchorterminal.com/compare/traycer-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/verdent-vs-vibe-trading.json", "title": "Verdent vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/verdent-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/verdent-vs-warp.json", "title": "Verdent vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/verdent-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-verdent.json", "title": "Clawboo vs Verdent", "url": "https://www.anchorterminal.com/compare/clawboo-vs-verdent" }, { "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-verdent.json", "title": "CLI Manager vs Verdent", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-verdent" }, { "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-verdent.json", "title": "Harness vs Verdent", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent" }, { "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-verdent.json", "title": "OpenMausBot vs Verdent", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-verdent.json", "title": "Paperclip vs Verdent", "url": "https://www.anchorterminal.com/compare/paperclip-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent.json", "title": "Parallax vs Verdent", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-verdent" }, { "json": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent.json", "title": "Unstoppable vs Verdent", "url": "https://www.anchorterminal.com/compare/unstoppable-vs-verdent" } ], "panel": null, "scores": [ { "by": 15, "edge": "letta", "key": "reliability", "letta": 58, "name": "Reliability", "verdent": 43, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 15, "edge": "letta", "key": "schema", "letta": 70, "name": "Schema \u0026 documentation", "verdent": 55, "weight": 13 }, { "by": 32, "edge": "letta", "key": "ergonomics", "letta": 67, "name": "Agent ergonomics", "verdent": 35, "weight": 13 }, { "by": 2, "edge": "letta", "key": "security", "letta": 35, "name": "Security \u0026 auth", "verdent": 33, "weight": 14 }, { "by": 40, "edge": "letta", "key": "payments", "letta": 60, "name": "Payments \u0026 pricing", "verdent": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 24, "edge": "letta", "key": "maintenance", "letta": 85, "name": "Maintenance \u0026 community", "verdent": 61, "weight": 7 }, { "by": 0, "edge": "", "key": "transparency", "letta": 55, "name": "Transparency \u0026 trust", "verdent": 55, "weight": 7 } ], "summary": "Letta scores 59.7 (C) on agent readiness against Verdent's 39.7 (E), 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.", "verdent": "A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/letta-vs-verdent", "json": "https://www.anchorterminal.com/compare/letta-vs-verdent.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/letta-vs-verdent.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/letta-vs-verdent.min.md" }, "markdown": "Letta scores 59.7 (C) on agent readiness against Verdent's 39.7 (E), 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- Verdent: grade E, 39.7/100, rank #1336 of 1510. Markdown https://www.anchorterminal.com/tools/verdent.md · JSON https://www.anchorterminal.com/api/v1/tools/verdent.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\nAhead on:\n- Reliability, 58 against 43\n- Schema \u0026 documentation, 70 against 55\n- Agent ergonomics, 67 against 35\n- Payments \u0026 pricing, 60 against 20\n- Maintenance \u0026 community, 85 against 61\n\nAlso in its favour:\n- Runs on your own machine\n- Open source\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### Verdent (E)\n\nGood for: A person who wants a desktop app to plan and run several coding tasks at once, possibly on their own Claude Code or Codex.\n\nWatch for: No CLI, print mode, API or SDK, so a pipeline can't start or read a run except through a paired chat bot\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Letta +40\n\n- Letta (60): No x402, MPP or L402 (0 of 40). Per-unit API prices are public, $0.10 per active agent a month and $0.00015 a second of tool execution, plus plan prices (20). A $0 plan with bring-your-own keys; no card is mentioned (20). The CLI runs locally without signing in (20). Total 60.\n- Verdent (20): Harness reading of the published rubric, scored on the Verdent subscription the agent needs. No payment protocol (0). Plan prices from $5 a month, top-up prices and the credit value of about $0.059 are public without a login (20). Free Mode and the free trial ended on 29 October 2026, so there is no free tier (0). A person signs up in a browser (0). 0+20+0+0 = 20.\n\n### Agent ergonomics: Letta +32\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- Verdent (35): Harness reading. MCP servers per project or globally, subagents, skills and rules, but no per-tool disabling or deferred loading found (10). No output-size, turn-limit or budget controls for a run were found beyond credit balances (5). No exit codes or error format, since there is no headless mode (3). Parallel workers in git worktrees and a review column make runs reviewable and reversible, with no resume by ID documented (10). No CLI, API or SDK. A pipeline can only reach Manager through a paired Telegram, Slack or Feishu bot (7). 10+5+3+10+7 = 35.\n\n### Maintenance \u0026 community: Letta +24\n\n- Letta (85): v0.34.42 on 6 November 2026 (30). Dozens of releases in 90 days (20). Pull requests are merged daily; recent issues from users have few replies (15 of 25). npm and PyPI packages and the Agent SDK track the releases (12 of 15). Lock files, CI and nightly smoke tests (8 of 10). Total 85.\n- Verdent (61): Closed service. v2.18.0 on 29 October 2026, eight days before this check (30). More than three dated releases in the 90 days from 8 August, among them 2.10.0 to 2.18.0 (20). A dated public changelog, a support address, Discord and a subreddit, with no public tracker to read reply times (8). No official SDK or MCP server to keep current (0). No public packages or CI to judge (3). 30+20+8+0+3 = 61.\n\n### Reliability: Letta +15\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- Verdent (43): Local-package reading, as for the other closed-source harnesses. The desktop app installs from verdent.ai with macOS 11 or later and 64-bit Windows 10 and 11 stated, and the extension from the editor marketplaces, but not from a package registry (15). No public CI or test suite, since the source isn't published (0). No public issue tracker, every task runs through Verdent's servers, and no status page was found, so there is no readable record (5). A dated changelog by version, with the end of Free Mode called out in v2.18.0, but no breaking-change sections (8). 2.18.0, generally available (15). 15+0+5+8+15 = 43.\n\n### Schema \u0026 documentation: Letta +15\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- Verdent (55): Framework reading for a harness. No schema for settings or output, only mcp.json examples in the standard mcpServers shape (5). Every current docs page has a Markdown twin at the same path with .md, though no llms.txt (10). The docs say when to use Agent Mode or Plan Mode and what Plan Mode can't do, but the Agent Mode page lists the actions that need approval only as \"certain tool executions\" and \"destructive operations\" (12). Modes and BYOA agent types are enumerated, permissions are not (5). Examples on the MCP, BYOA and messaging pages, and a recovery page, with no error codes (8). Version numbers and a dated public changelog (15). The archived 1.0 docs are still served beside the current ones. 5+10+12+5+8+15 = 55.\n\n## Score by category\n\n| Category | Weight | Letta | Verdent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 58 | 43 | Letta +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 70 | 55 | Letta +15 |\n| Agent ergonomics | 13% (16.2 this run) | 67 | 35 | Letta +32 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 33 | Letta +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 20 | Letta +40 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 85 | 61 | Letta +24 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 55 | even |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **59.7 · C** | **39.7 · E** | |\n\n## Facts side by side\n\n| Fact | Letta | Verdent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Letta | Verdent AI, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | stdio | |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Freemium | Paid |\n| x402 | no | no |\n| Licence | Apache-2.0 | Proprietary. The terms of use from Verdent AI, Inc. forbid reverse engineering or copying any component, and no source is published |\n| Read-only variant documented | no | yes |\n| llms.txt | yes | no |\n| Last release | 2026-11-06 | 2026-10-29 |\n| Terms last updated | no date given | 2026-05-25 |\n| Privacy policy last updated | no date given | 2026-05-26 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | yes |\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 | yes |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 3.8k stars, 86k npm/wk, 2.2k PyPI/wk | none |\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**Verdent.** A desktop and editor coding agent that splits a goal into parallel workers in git worktrees, with a read-only Plan Mode, MCP servers and the option to run workers on Claude Code or Codex. It has no CLI, API or sandbox, sends context through Verdent's servers, and has had no free tier since 29 October 2026.\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### Verdent\n\n1. Don't plan to drive Verdent headless. Hand the task to the person using the desktop app, or use a harness with a print mode\n2. Start large changes in Plan Mode and review plan.md before switching to Agent Mode\n3. Add MCP servers in the project's .mcp.json or ~/.verdent/mcp.json in the mcpServers shape\n4. Keep work under git, since rollback relies on git and there is no sandbox\n5. Budget in credits at about $0.059 each, because there is no free allowance since 29 October 2026\n\n## Questions\n\n### Which is better for AI agents, Letta or Verdent?\n\nLetta scores 59.7 (C) on agent readiness against Verdent's 39.7 (E), and leads in 6 of 7 scored categories.\n\n### Are Letta and Verdent open source?\n\nLetta is open source (Apache-2.0). No open-source release is listed for Verdent.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/letta-vs-verdent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/letta-vs-verdent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"letta\", \"b\": \"verdent\"}`. From a terminal: `anchor compare letta verdent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/letta.json and https://www.anchorterminal.com/api/v1/tools/verdent.json\n\n## Other comparisons with Letta or Verdent\n\n- [Agent Zero vs Letta](https://www.anchorterminal.com/compare/agent-zero-vs-letta.md)\n- [Agent Zero vs Verdent](https://www.anchorterminal.com/compare/agent-zero-vs-verdent.md)\n- [Aider vs Letta](https://www.anchorterminal.com/compare/aider-vs-letta.md)\n- [Aider vs Verdent](https://www.anchorterminal.com/compare/aider-vs-verdent.md)\n- [Amp vs Letta](https://www.anchorterminal.com/compare/amp-vs-letta.md)\n- [Amp vs Verdent](https://www.anchorterminal.com/compare/amp-vs-verdent.md)\n- [Antigravity CLI vs Letta](https://www.anchorterminal.com/compare/antigravity-cli-vs-letta.md)\n- [Antigravity CLI vs Verdent](https://www.anchorterminal.com/compare/antigravity-cli-vs-verdent.md)\n- [Auggie CLI vs Letta](https://www.anchorterminal.com/compare/auggie-vs-letta.md)\n- [Auggie CLI vs Verdent](https://www.anchorterminal.com/compare/auggie-vs-verdent.md)\n- [AXLR vs Letta](https://www.anchorterminal.com/compare/axlr-vs-letta.md)\n- [AXLR vs Verdent](https://www.anchorterminal.com/compare/axlr-vs-verdent.md)\n- [Claude Code vs Letta](https://www.anchorterminal.com/compare/claude-code-vs-letta.md)\n- [Claude Code vs Verdent](https://www.anchorterminal.com/compare/claude-code-vs-verdent.md)\n- [Cline vs Letta](https://www.anchorterminal.com/compare/cline-vs-letta.md)\n- [Cline vs Verdent](https://www.anchorterminal.com/compare/cline-vs-verdent.md)\n- [Conductor vs Letta](https://www.anchorterminal.com/compare/conductor-vs-letta.md)\n- [Conductor vs Verdent](https://www.anchorterminal.com/compare/conductor-vs-verdent.md)\n- [Crush vs Letta](https://www.anchorterminal.com/compare/crush-vs-letta.md)\n- [Crush vs Verdent](https://www.anchorterminal.com/compare/crush-vs-verdent.md)\n- [Cursor 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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 Verdent](https://www.anchorterminal.com/compare/mini-swe-agent-vs-verdent.md)\n- [MiniMax Code vs Verdent](https://www.anchorterminal.com/compare/minimax-code-vs-verdent.md)\n- [Mistral Vibe CLI vs Verdent](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-verdent.md)\n- [Muse Code vs Verdent](https://www.anchorterminal.com/compare/muse-code-vs-verdent.md)\n- [OpenAI Agents API vs Verdent](https://www.anchorterminal.com/compare/openai-agents-api-vs-verdent.md)\n- [OpenAI Codex vs Verdent](https://www.anchorterminal.com/compare/openai-codex-vs-verdent.md)\n- [OpenCode vs Verdent](https://www.anchorterminal.com/compare/opencode-vs-verdent.md)\n- [OpenHands vs Verdent](https://www.anchorterminal.com/compare/openhands-vs-verdent.md)\n- [Orca vs 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Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/verdent-vs-warp.md)\n- [Clawboo vs Letta](https://www.anchorterminal.com/compare/clawboo-vs-letta.md)\n- [Clawboo vs Verdent](https://www.anchorterminal.com/compare/clawboo-vs-verdent.md)\n- [CLI Manager vs Letta](https://www.anchorterminal.com/compare/cli-manager-vs-letta.md)\n- [CLI Manager vs Verdent](https://www.anchorterminal.com/compare/cli-manager-vs-verdent.md)\n- [Harness vs Letta](https://www.anchorterminal.com/compare/harness-autonomous-vs-letta.md)\n- [Harness vs Verdent](https://www.anchorterminal.com/compare/harness-autonomous-vs-verdent.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 Verdent](https://www.anchorterminal.com/compare/openmausbot-vs-verdent.md)\n- [Paperclip vs Verdent](https://www.anchorterminal.com/compare/paperclip-vs-verdent.md)\n- [Parallax vs Verdent](https://www.anchorterminal.com/compare/parallax-agents-vs-verdent.md)\n- [Unstoppable vs Verdent](https://www.anchorterminal.com/compare/unstoppable-vs-verdent.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 Verdent", "url": "" } ], "description": "Letta scores 59.7 (C) to Verdent's 39.7 (E) for agent harnesses. 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