{ "data": { "a": { "slug": "axlr", "name": "AXLR", "vendor": "Underpass AI", "vendorUrl": "https://axlr.underpassai.com", "kind": "harness", "category": "agent-harnesses", "summary": "Open-source Go execution engine for agentic work from Underpass AI. A console with work modes and approval cards, an mTLS HTTP, gRPC and MCP service, a JSON worker and a Go library, with KMP memory and MADE procedures over MCP.", "url": "https://www.anchorterminal.com/tools/axlr", "markdownUrl": "https://www.anchorterminal.com/tools/axlr.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/axlr.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/axlr.json", "dns": "axlr.grade.anchorterminal.com", "repo": "https://github.com/underpass-ai/AXLR", "license": "Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder", "transports": [], "packages": [ { "registry": "go", "name": "github.com/underpass-ai/AXLR" }, { "registry": "oci", "name": "ghcr.io/underpass-ai/axlr" }, { "registry": "oci", "name": "ghcr.io/underpass-ai/charts/axlr" } ], "auth": "mixed", "authNotes": "The console and the one-command `axlr-tui --exec` need a model route, an OpenRouter key (`OPENROUTER_API_KEY` or `credentials.json`, mode 0600), a local OpenAI-compatible server, or an Anthropic Messages or OpenAI Responses key in a `local_models` entry; the JSON worker and the library tests need no model account. The service, `axlr-serve`, requires TLS 1.3 and a client certificate signed by its CA whose SHA-256 fingerprint is mapped in a private principals file to a principal and the roles `session_client`, `approver`, `tool_operator` and `admin`; an unmapped certificate is forbidden, a session belongs to the principal that created it, and authentication never approves a tool by itself. MCP at `/mcp` is stateless and authenticated per request by the same certificate; gRPC uses the TLS peer certificate.", "pricing": "free", "pricingNotes": "Free and open source under Apache-2.0, with nothing to buy from Underpass AI. You pay your model provider (OpenRouter reports a cost per request, which the console's `/usage` and `max_session_usd` track) or run a local server at no charge; TypeSafe's Jev judge is optional and needs its own key. No hosted AXLR exists (checked 2026-11-01).", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository, the OpenAPI file or the two sites (checked 2026-11-01). Nothing is sold.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 0, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-01" }, "docsUrl": "https://axlr.underpassai.com/docs/", "openapi": "https://github.com/underpass-ai/AXLR/blob/main/api/openapi/axlr-v1.yaml", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "go", "cli", "mcp-client", "openapi", "grpc", "docker", "helm", "sandbox", "approvals", "pre-1.0", "new" ], "lastRelease": "2026-10-25", "graded": true, "anchor": { "graded": true, "score": 70.6, "grade": "BB", "agentReady": true, "rank": 168, "ranked": true, "rankOf": 1253, "categoryRank": 3, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 83, "maintenance": 79, "payments": 60, "reliability": 70, "schema": 80, "security": 62, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": 0, "verdict": "A pre-1.0 Go harness with an unusually complete service contract, mutual TLS with principal roles, required idempotency keys, a policy, budget and sandbox per execution, and a result object a program can read. The console's defaults after setup are autonomy on and no sandbox, the project has one maintainer and no outside users yet, and releases carry no notes.", "bestFor": "A program or bot that needs one governed execution at a time, with a policy, a budget, a sandbox profile and correlation ids it sets itself and a result object it reads back, on a machine it controls, with the model on OpenRouter, a local server or a native Anthropic or OpenAI key.", "strengths": [ "mTLS HTTP, gRPC and MCP service with four principal roles, `Idempotency-Key` required on turns, approvals and direct calls, and `expected_revision` on decisions", "A policy (observe, propose, act-with-approval, act-within-policy), a budget in seconds, requests, tool calls and dollars, and a bubblewrap or container sandbox with an enforced egress allow list, each per execution", "`axlr-tui --exec --json` runs one task headless and ends with a result object; exit 0 done, 3 waiting for a decision, 1 error", "OpenRouter, local OpenAI-compatible servers (llama.cpp, vLLM, Ollama, LM Studio), and the Anthropic Messages and OpenAI Responses APIs spoken directly", "21 releases in October 2026 from a workflow that tests on six native runners and refuses to republish different bytes, with a `.sha256` beside every archive" ], "weaknesses": [ "The setup assistant turns autonomy on and leaves the exec sandbox off, so after setup the model's commands run with the person's rights, bar the destructive list", "Pre-1.0 with one maintainer, 0 stars and 10 open issues, all the founder's own trackers; releases have empty notes and there is no changelog", "The service needs KMP and MADE as remote gRPC services, a client CA and a principals file before a first session, and has no work modes, plugins or forged-tool setting yet", "No SECURITY.md, security.txt, advisories or disclosure route; the legal entity is not yet incorporated and no terms or privacy policy exist", "No llms.txt, and the Go library is the only SDK; the catalog registry answers every non-AXLR client with 403" ], "agentNotes": [ "Before the first prompt, set `approvals.autonomous` to false or run with `--approve none`, and turn `exec_sandbox.mode` to `auto` or `required` on Linux; after setup both default the other way", "Drive a run with `axlr-tui --exec --json --policy \u003cfile\u003e --budget \u003cfile\u003e --sandbox \u003cfile\u003e` and read only the last `result` line; exit 3 means a call waits for `--decide approve|deny` with `--session \u003cid\u003e`", "On the service, send `Idempotency-Key` (16 to 128 safe ASCII characters) on every turn, approval and direct call, and pass the session's `expected_revision`; a reused key with a different body answers 409", "A local model must return native tool calls (llama.cpp with `--jinja`, vLLM with `--enable-auto-tool-choice`); set `context_tokens` on the entry and `OLLAMA_CONTEXT_LENGTH` for Ollama", "Leave `TYPESAFE_API_KEY` unset unless you want the setup assistant to switch Jev on, which sends requests and final answers to TypeSafe" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70.6 } ], "editorialScores": { "ergonomics": 83, "maintenance": 79, "payments": 60, "reliability": 70, "schema": 80, "security": 62, "transparency": 68 }, "provenanceScore": 42, "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", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "V=v0.15.0; OS=linux; ARCH=amd64; curl -fsSLO https://github.com/underpass-ai/AXLR/releases/download/$V/axlr-$V-$OS-$ARCH.tar.gz{,.sha256} \u0026\u0026 sha256sum -c axlr-$V-$OS-$ARCH.tar.gz.sha256 \u0026\u0026 tar xzf axlr-$V-$OS-$ARCH.tar.gz -C ~/.local/bin axlr axlr-tui axlr-serve # or build from source with Go 1.26", "headless": { "command": "axlr-tui --root \"$PWD\" --exec \"$TASK\" --json --approve none --policy policy.json --budget budget.json --sandbox sandbox.json", "decide": "axlr-tui --session \u003cid\u003e --decide approve --json", "env": { "OPENROUTER_API_KEY": "\u003ckey\u003e" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/axlr" }, "area": "frameworks", "provenance": { "legalEntity": "", "domain": "underpassai.com", "domainRegistered": "2025-08-10", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/underpass-ai/AXLR/releases", "securityTxt": "none", "checked": "2026-11-01", "notes": [ "No legal entity exists yet. underpassai.com's footer says Underpass AI is a startup project created by Tirso García Ibáñez and preparing incorporation as a Spanish limited liability company, that the technical assets are founder-owned and intended to be assigned to the company after incorporation, and that licence terms are in each repository's LICENSE and NOTICE. The NOTICE names Tirso García Ibáñez as copyright holder. Recorded as absent with that explanation.", "No terms of service or privacy policy on underpassai.com (sitemap lists the home page and one article) or axlr.underpassai.com. For local software the docs' 'Where data goes' and 'Diagnostics and privacy' sections stand in.", "RDAP for underpassai.com gives registration on 2025-08-10 with Route 53 nameservers. The GitHub organisation underpass-ai was created on 2025-08-09, location Spain, 16 public repositories. The AXLR repository was created on 2026-09-29; the first tag and release, v0.1.0, is dated 2026-10-04, which is firstReleased.", "https://underpassai.com/.well-known/security.txt and https://axlr.underpassai.com/.well-known/security.txt answer 404; the repository has no SECURITY.md. No status page (local software). The changelog is the GitHub releases list, whose entries carry no notes.", "robots.txt on underpassai.com and axlr.underpassai.com allow everything. registry.underpassai.com answers every path, robots.txt included, with 403 'forbidden: client is not AXLR', so nothing was read from it after that reply.", "The founder's LinkedIn URL is linked from underpassai.com and was not visited." ], "score": 42 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/axlr.json" }, "answer": "AXLR scores 70.6 (BB) on agent readiness against Prime Agent's 60.7 (C), and leads in 4 of 7 scored categories. Prime Agent leads on transparency \u0026 trust.", "b": { "slug": "prime-agent", "name": "Prime Agent", "vendor": "Prime Intellect", "vendorUrl": "https://www.primeintellect.ai", "kind": "harness", "category": "agent-harnesses", "summary": "Prime Agent is an open-source coding and research agent from Prime Intellect, run from a terminal. The model works through a persistent Python REPL, spawns subagents as function calls and keeps sessions running in a background daemon.", "url": "https://www.anchorterminal.com/tools/prime-agent", "markdownUrl": "https://www.anchorterminal.com/tools/prime-agent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prime-agent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prime-agent.json", "dns": "prime-agent.grade.anchorterminal.com", "repo": "https://github.com/PrimeIntellect-ai/prime-agent", "license": "MIT", "transports": [], "packages": [], "auth": "none", "authNotes": "No account of its own is required. `/login` on first launch picks a subscription or an API-key provider, and provider keys can also come from environment variables such as `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `OPENROUTER_API_KEY` or `PRIME_API_KEY`.", "pricing": "free", "pricingNotes": "Free and MIT-licensed, with nothing to buy for the agent itself. The model provider is paid separately, and Prime Intellect's own inference service is one of the providers.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README or the source (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 21614, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://github.com/PrimeIntellect-ai/prime-agent#readme", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "open-source", "local", "free", "no-card", "rust", "mcp", "telemetry-default-on", "pre-1.0", "beta" ], "lastRelease": "2026-10-07", "graded": true, "anchor": { "graded": true, "score": 60.7, "grade": "C", "agentReady": false, "rank": 584, "ranked": true, "rankOf": 1253, "categoryRank": 19, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 73, "maintenance": 79, "payments": 60, "reliability": 65, "schema": 42, "security": 50, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "Budgets for turns, tokens and time bound an autonomous run, and sessions survive a closed terminal through a supervising daemon. Model-written Python and shell commands run with the user's rights, with no approval step and no sandbox, and the Rust build on the main branch ships only as nightly betas.", "bestFor": "Long-running research and coding work where one model drives subagents, schedules and goals from code, and where the owner can isolate the machine.", "strengths": [ "MIT licence, with CI on main passing on 8 October 2026 (fmt, clippy with warnings as errors, sharded tests, cargo-deny)", "Three model tools (bash, edit, ipython). MCP tools are found and called from Python, so their definitions stay out of the prompt", "Autonomous mode takes limits on turns, tokens, time and continuations, plus user-defined quality gates with retries", "A daemon supervises one worker per session, restarts it with backoff and restores from append-only JSONL session files", "Telemetry is disclosed on first run, carries primitive values only and has four documented ways to turn it off" ], "weaknesses": [ "No approval prompts and no sandbox. The README says the worker and kernel processes are not a security sandbox", "The stable channel (v0.9.8, 29 September 2026) is the TypeScript build. The Rust code on main ships only as nightly betas", "No documentation site for Prime Agent. Headless, JSON, RPC and ACP modes are described only in source and crate READMEs", "Usage telemetry is on by default, and the vendor privacy policy (updated 23 February 2024) does not describe it", "No SECURITY.md in the repository, and public issues and unsolicited pull requests are closed automatically" ], "agentNotes": [ "Run it in a disposable clone, container or VM. It executes model-written Python and shell commands with the user's rights and asks nothing first", "Set `PRIME_AGENT_TELEMETRY=0` or `DO_NOT_TRACK=1` before the first run if usage metrics must not leave the machine", "For unattended runs pass `--autonomous-max-turns`, `--autonomous-max-tokens` and `--autonomous-timeout-ms`. Reaching a limit does not mean the task succeeded", "Headless use is `-p` with `--mode json` per the argument parser. A provider key must already be configured, because `/login` is interactive", "The `-t/--tools`, `-nt/--no-tools` and `-nbt/--no-builtin-tools` flags were removed and now fail as unknown options" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 60.7 } ], "editorialScores": { "ergonomics": 73, "maintenance": 79, "payments": 60, "reliability": 65, "schema": 42, "security": 50, "transparency": 67 }, "provenanceScore": 67, "checked": { "categories": { "ergonomics": "2026-10-08", "maintenance": "2026-10-08", "payments": "2026-10-08", "reliability": "2026-10-08", "schema": "2026-10-08", "security": "2026-10-08", "transparency": "2026-10-08" }, "last": "2026-10-08", "lastMoved": "2026-10-28", "oldest": "2026-10-08", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "curl -fsSL https://app.primeintellect.ai/prime-agent/install.sh | sh" }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/prime-agent" }, "area": "frameworks", "provenance": { "legalEntity": "Prime Intellect, Inc.", "domain": "primeintellect.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://www.primeintellect.ai/terms-of-service", "privacy": "https://www.primeintellect.ai/privacy-policy", "statusPage": "https://status.primeintellect.ai", "changelog": "https://github.com/PrimeIntellect-ai/prime-agent/releases", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The site footer, terms and privacy policy name Prime Intellect, Inc. of Dover, Delaware. The repository LICENSE names Prime Intellect Ltd. as copyright holder.", "www.primeintellect.ai/.well-known/security.txt returned 404 on 8 October 2026. A security policy with a reporting address is at https://www.primeintellect.ai/security.", "The status page covers Prime Intellect's hosted platform (API, inference, sandboxes), not the locally run agent.", "The LICENSE adds that the software is a port of the Prime Agent TypeScript product, originally copyright 2025 Mario Zechner, used under the MIT licence. GitHub's licence detector reports the file as unrecognised." ], "score": 67 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/prime-agent.json", "live": { "slug": "prime-agent", "vendorStatus": { "page": "https://status.primeintellect.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-01T22:09:56.382220879Z" }, "versions": [ { "registry": "github", "name": "PrimeIntellect-ai/prime-agent", "version": "v0.10.2", "released": "2026-10-28", "seenAt": "2026-11-01T17:26:35.565058357Z" } ], "githubStars": 22488, "securityTxt": { "url": "https://primeintellect.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-01T15:41:57.441270582Z" }, "domain": { "domain": "primeintellect.ai", "registered": "2023-08-22", "source": "https://rdap.identitydigital.services/rdap/domain/primeintellect.ai", "checkedAt": "2026-11-01T14:16:26.955890804Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/PrimeIntellect-ai/prime-agent/main/CHANGELOG.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-01T06:51:53.311127952Z", "changedAt": "2026-10-29T05:14:50.043684242Z", "fingerprint": "385936ba6d1e" }, { "url": "https://www.primeintellect.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-01T07:03:26.354906025Z", "changedAt": "2026-11-01T07:03:26.354906025Z", "fingerprint": "93d906466197" }, { "url": "https://www.primeintellect.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-01T07:03:30.178719143Z", "changedAt": "2026-11-01T07:03:30.178719143Z", "fingerprint": "9fb3a0bee791" } ], "github": { "repo": "primeintellect-ai/prime-agent", "checkedAt": "2026-10-26T07:57:45.62501169Z", "stars": 22335, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-26T01:10:33Z", "openIssues": 21, "openPRs": 123, "issuesOpened90d": 441, "issuesClosed90d": 421, "prsMerged90d": 1327, "ci": { "branch": "main", "runs": 50, "success": 16, "failure": 0, "other": 34, "latest": "success", "latestAt": "2026-10-25T14:14:27Z" }, "replies": { "sampled": 25, "unanswered": 1, "medianDays": 0 } }, "updatedAt": "2026-11-01T22:09:56.382220879Z" } }, "edges": [ { "by": 38, "category": "schema", "leads": "axlr", "name": "Schema \u0026 documentation", "reasons": { "a": "An OpenAPI 3.1 file for the service (15 paths, 23 schemas, `mutualTLS` security scheme, `additionalProperties: false` on request bodies), a checked proto for the gRPC service, and the 19 MCP tools built from the same shared schemas (25). No llms.txt on either site (404), and the docs site renders HTML; the Markdown sources are in the repository (5). The product contract tables what each of the four interfaces can and cannot do, the work-mode table states each mode's purpose and tool policy, the transport parity ledger names every verb's arguments and behaviour, and `axlr_tools` tells the model to look for a tool before forging one (15). Typed inputs throughout, `Idempotency-Key` 16 to 128 safe ASCII characters, `expected_revision` a positive integer, policy levels, sandbox profiles and egress values enumerated, budgets as four integers, and the service rejects unknown fields, invalid types and bodies over 4 MiB (14). Examples in every guide, an error shape of `code`, `message` and `request_id`, named codes (`409 idempotency_conflict`, `400 invalid_cursor`, `422 invalid_policy`, `invalid_budget`, `sandbox_unavailable`, `not_ready`, `invalid_id`), a gRPC status mapping, and the worker's five statuses and three exit codes; no single error reference page (14). `/v1` routes and an OpenAPI version of 0.1.0 against a 0.15.0 release, and no changelog beyond the dated notes inside the docs (7). 25+5+15+14+14+7 = 80.", "b": "Harness reading of the framework line. `--mode json` emits a session event stream and `rpc` and `acp` modes exist, but we found no published schema or reference for them outside the source (10). docs.primeintellect.ai serves an llms.txt that has no Prime Agent page (0). The README states what the agent does, how it differs and that it is not a sandbox, and the bundled skills say when to use each function (10). CLI values are validated with messages that list the valid choices, and MCP tool schemas are read live from the server (7). The README gives the install line and seven commands, and the MCP skill documents its error types, but there is no headless or configuration guide (5). Versioned releases with notes for stable versions, none of substance for nightlies (10)." }, "scores": { "a": 80, "b": 42 } }, { "by": 12, "category": "security", "leads": "axlr", "name": "Security \u0026 auth", "reasons": { "a": "Harness reading of the framework checklist, as for the other four harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. No product telemetry in the console source (the outbound hosts are openrouter.ai, api.anthropic.com, api.openai.com, a configured local server, api.github.com and github.com for engine downloads, and registry.underpassai.com for the signed catalog index) or in the docs; payload capture is off by default since 9 October 2026, traces omit prompts and credentials, model keys are never given to commands or plugins, and Jev sends requests and answers to TypeSafe only when on, which the setup assistant does when `TYPESAFE_API_KEY` is set, with a notice on stderr (27). Approval cards, a destructive list that always asks, four work modes, a policy level per execution, a bubblewrap or container sandbox with an enforced egress allow list, and a service that approves nothing but reads. Against that, the setup assistant writes `autonomous: true`, `exec_sandbox` is off by default, forged tools run with the person's rights, and the README says the console and worker are not sandboxes (13). Forged tools are refused when a file changes since the forge, a policy forbids calls outside the model, and the docs say MCP tools keep their own side effects, but no prompt-injection guidance was found and MCP results reach the model unmarked (6). The service keeps an event journal, audit records, a receipt with the SHA-256 of every call's arguments and outcome, and correlation ids on every event; the console keeps session records, a redacted app log and `/session` (14). No SECURITY.md, no security.txt on either host, no advisories, no bug bounty; release checksums and a minisign-signed catalog are integrity, not a programme (2). 27+13+6+14+2 = 62.", "b": "Harness reading of the framework checklist, as used for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. Usage telemetry is on by default. It is pseudonymous, limited to primitive values with no prompts, tool content or file paths per the source, disclosed on first run and mirrored to a local `telemetry.jsonl` (18). No approval prompts were found and there is no sandbox, which the README states. MCP tools can be limited with `enabledTools` and `disabledTools`, and the agent is told to recommend a connection, not make one (4). The README tells users to work only with trusted repositories, instructions and skills. No detection or mitigation found (5). Append-only JSONL session files, a `prime-agent incident` timeline command and the local telemetry mirror (12). The vendor's security policy has a reporting address, safe harbour, response times and discretionary rewards, scoped to its website and API. The repository has no SECURITY.md and no published advisories, CONTRIBUTING.md says to report privately without naming an address, and security.txt returned 404. cargo-deny runs in CI (11)." }, "scores": { "a": 62, "b": 50 } }, { "by": 12, "category": "transparency", "leads": "prime-agent", "name": "Transparency \u0026 trust", "reasons": { "a": "Apache-2.0 with a NOTICE (30). No privacy policy or terms on underpassai.com or axlr.underpassai.com; the docs' 'Where data goes' and 'Diagnostics and privacy' sections say that model requests go to OpenRouter, the local server or the native API, that Jev sends text to TypeSafe only when on, that sessions live under `$XDG_STATE_HOME/axlr`, that payload capture is off by default and redacted when on, and that traces are deleted after 30 days; nothing covers the engine downloads' or the catalog registry's handling of a client's requests (15). No deprecation policy; pre-1.0 changes are dated inline in the docs and the product contract records the 5 October 2026 retirement of the first skill catalogue after the fact (6). No telemetry to disclose, and the docs say in two places what leaves the machine and how to stop payload capture, though no single page says there is no telemetry (17). 30+15+6+17 = 68.", "b": "MIT in the LICENSE file and Cargo.toml, with a notice that the code is a port of a TypeScript product originally copyright Mario Zechner (30). The first-run notice and the telemetry crate README say what is sent and what is excluded, and name the endpoint and PostHog, but the vendor privacy policy is dated 23 February 2024, does not describe agent telemetry and gives no retention period for it (12). No deprecation policy found. Removed flags are recorded in change fragments (5). Telemetry is disclosed with a setting, a command and two environment variables to turn it off (20)." }, "scores": { "a": 55, "b": 67 } }, { "by": 10, "category": "ergonomics", "leads": "axlr", "name": "Agent ergonomics", "reasons": { "a": "Harness reading of the framework line, scored on what a program driving it has to supply. Six local tools plus the host's bookkeeping tools; work modes and an execution policy hide the tools a run may not use, `axlr_catalog` searches the catalog instead of loading it, forged tools keep the request prefix for the prompt cache, and a context cap of 75,000 prompt tokens opens a successor session (20). `local_read`, `local_search` and `local_list` page with `offset`, `next_offset` and `max_bytes`; `StreamEvents` takes `after`, `max_events` (1 to 256) and `wait_ms`; a budget per execution in seconds, requests, tool calls and dollars; 32 tool calls a turn and `max_session_usd` (20). The `--exec` run ends in one `result` line with a status, the pending call, every call's outcome and the usage, and exits 0, 3 or 1; service errors carry codes an agent can act on; a budget stop says which limit (`budget: requests 20 reached`) and leaves the session resumable (16). `Idempotency-Key` on every turn, approval and direct call with cross-transport replay, `expected_revision` on decisions, `expected_sha256` on worker writes, and an interrupted effectful call left `uncertain` for an operator rather than retried (19). One command runs a task, but the first launch needs an OpenRouter key or a local server, the service needs a CA, a principals file and remote KMP and MADE before a first session, and the only SDK is the Go library (8). 20+20+16+19+8 = 83.", "b": "Harness reading, scored on what a person or pipeline driving it has to supply. The model sees three tools (bash, edit, ipython), and MCP tools are searched, described and called from Python instead of being loaded into the prompt (23). Autonomous mode has limits for turns, tokens, time and continuations, a goal token budget and automatic compaction (17). A JSON event stream and exit codes for headless runs, described in the crate README and source only (10). Sessions resume, the daemon restarts workers and restores from JSONL files, refinements can be rolled back and quality gates retry (15). One command starts it and no SDK was found. A provider must be chosen through an interactive `/login` or supplied as a key first (8)." }, "scores": { "a": 83, "b": 73 } }, { "by": 5, "category": "reliability", "leads": "axlr", "name": "Reliability", "reasons": { "a": "Read as a local package, as claude-code, goose, opencode and openhands were. Release archives for Linux, macOS and Windows on amd64 and arm64 with a `.sha256` beside each, a GHCR image, an OCI Helm chart and source builds with Go 1.26, all stated in the docs; no Homebrew, npm or apt route (20). CI on main runs vet, race tests and a coverage gate above 80 per cent for both modules, with the sandbox tests required under bubblewrap, and the last ten runs on main to 1 November 2026 all passed; the release workflow tests on six native runners (25). 10 open issues, all opened by the founder on 19 and 21 October 2026 as trackers for service work (work modes, plugins, the sandbox setting, cost limits), none from an outside user and none a crash report, 0 open pull requests and about 100 merged; with 0 stars there is nobody else to report, so the handling of outside reports is untested (20). Tags are semver 0.x and the docs date each behaviour change inline (\"until 14 October 2026…\"), but the 21 releases have empty notes, there is no CHANGELOG.md, and the product contract records one retirement (the seven 1.0 skill definitions on 5 October 2026) without a notice period (5). Pre-1.0, which the README calls an evolving project (0). 20+25+20+5+0 = 70.", "b": "Read with the local-software lines. The vendor's installer fetches checksummed binaries for macOS and Linux on x64 and arm64, with an npm install needing Node.js 20.6 or later as the fallback, but the stable pointer is the TypeScript build while the Rust code on main ships only on the nightly channel, and Windows builds are beta only (17). A public CI workflow runs fmt, clippy with warnings as errors, sharded workspace tests and cargo-deny, and its badge read passing on 8 October 2026 (25). 20 open issues and 91 open pull requests on 8 October. Issues hold only work the maintainers accepted, and the Discussions bug category lists reports from the past two weeks of session-worker crashes, truncated RPC output and provider hangs, whose reply state we did not read (15). Stable releases carry written notes and changes are recorded as fragments in `.changes`, including the removal of the `--tools` flags, but there is no changelog file, the nightly notes are boilerplate and the project is at 0.x (8). Version 0.9.8, and the Rust build is a beta (0)." }, "scores": { "a": 70, "b": 65 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Underpass AI", "b": "Prime Intellect", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder", "b": "MIT", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-25", "b": "2026-10-07", "name": "Last release" }, { "a": "no document linked", "b": "no date given", "name": "Terms last updated" }, { "a": "no document linked", "b": "no date given", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not read yet", "b": "yes", "name": "Terms restrict automated access" }, { "a": "not read yet", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not read yet", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not read yet", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "0 stars", "b": "22k stars", "name": "Popularity" }, { "a": "none", "b": "2.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "AXLR scores 70.6 (BB) on agent readiness against Prime Agent's 60.7 (C), and leads in 4 of 7 scored categories. Prime Agent leads on transparency \u0026 trust.", "question": "Which is better for AI agents, AXLR or Prime Agent?" }, { "answer": "Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). Prime Agent is open source (MIT).", "question": "Are AXLR and Prime Agent open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 70 against 65", "Schema \u0026 documentation, 80 against 42", "Agent ergonomics, 83 against 73", "Security \u0026 auth, 62 against 50" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "A program or bot that needs one governed execution at a time, with a policy, a budget, a sandbox profile and correlation ids it sets itself and a result object it reads back, on a machine it controls, with the model on OpenRouter, a local server or a native Anthropic or OpenAI key.", "slug": "axlr", "watchFor": "The setup assistant turns autonomy on and leaves the exec sandbox off, so after setup the model's commands run with the person's rights, bar the destructive list" }, { "aheadOn": [ "Transparency \u0026 trust, 67 against 55" ], "also": [ "No key needed to call it" ], "goodFor": "Long-running research and coding work where one model drives subagents, schedules and goals from code, and where the owner can isolate the machine.", "slug": "prime-agent", "watchFor": "No approval prompts and no sandbox. The README says the worker and kernel processes are not a security sandbox" } ], "history": { "axlr": null, "prime-agent": [ { "causes": [ "evidence" ], "date": "2026-10-28", "delta": 0.2, "from": 60.5, "fromGrade": "C", "to": 60.7, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0, "from": 60.5, "fromGrade": "C", "to": 60.5, "toGrade": "C" } ] }, "job": { "capability": "agent.harness", "name": "Agent harnesses" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-axlr.json", "title": "Agent Zero vs AXLR", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-axlr" }, { "json": "https://www.anchorterminal.com/compare/agent-zero-vs-prime-agent.json", "title": "Agent Zero vs Prime Agent", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-axlr.json", "title": "Aider vs AXLR", "url": "https://www.anchorterminal.com/compare/aider-vs-axlr" }, { 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"url": "https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-reflection-mirror.json", "title": "Prime Agent vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-rovo-dev-cli.json", "title": "Prime Agent vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-unstoppable.json", "title": "Prime Agent vs Unstoppable", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-vibe-trading.json", "title": "Prime Agent vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/prime-agent-vs-warp.json", "title": "Prime Agent vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/prime-agent-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-clawboo.json", "title": "AXLR vs Clawboo", "url": "https://www.anchorterminal.com/compare/axlr-vs-clawboo" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-cli-manager.json", "title": "AXLR vs CLI Manager", "url": "https://www.anchorterminal.com/compare/axlr-vs-cli-manager" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-harness-autonomous.json", "title": "AXLR vs Harness", "url": "https://www.anchorterminal.com/compare/axlr-vs-harness-autonomous" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-paperclip.json", "title": "AXLR vs Paperclip", "url": "https://www.anchorterminal.com/compare/axlr-vs-paperclip" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-parallax-agents.json", "title": "AXLR vs Parallax", "url": "https://www.anchorterminal.com/compare/axlr-vs-parallax-agents" }, { "json": "https://www.anchorterminal.com/compare/clawboo-vs-prime-agent.json", "title": "Clawboo vs Prime Agent", "url": "https://www.anchorterminal.com/compare/clawboo-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-prime-agent.json", "title": "CLI Manager vs Prime Agent", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-prime-agent.json", "title": "Harness vs Prime Agent", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/openmausbot-vs-prime-agent.json", "title": "OpenMausBot vs Prime Agent", "url": "https://www.anchorterminal.com/compare/openmausbot-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/paperclip-vs-prime-agent.json", "title": "Paperclip vs Prime Agent", "url": "https://www.anchorterminal.com/compare/paperclip-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/parallax-agents-vs-prime-agent.json", "title": "Parallax vs Prime Agent", "url": "https://www.anchorterminal.com/compare/parallax-agents-vs-prime-agent" } ], "panel": null, "scores": [ { "axlr": 70, "by": 5, "edge": "axlr", "key": "reliability", "name": "Reliability", "prime-agent": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "axlr": 80, "by": 38, "edge": "axlr", "key": "schema", "name": "Schema \u0026 documentation", "prime-agent": 42, "weight": 13 }, { "axlr": 83, "by": 10, "edge": "axlr", "key": "ergonomics", "name": "Agent ergonomics", "prime-agent": 73, "weight": 13 }, { "axlr": 62, "by": 12, "edge": "axlr", "key": "security", "name": "Security \u0026 auth", "prime-agent": 50, "weight": 14 }, { "axlr": 60, "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "prime-agent": 60, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "axlr": 79, "by": 0, "edge": "", "key": "maintenance", "name": "Maintenance \u0026 community", "prime-agent": 79, "weight": 7 }, { "axlr": 55, "by": 12, "edge": "prime-agent", "key": "transparency", "name": "Transparency \u0026 trust", "prime-agent": 67, "weight": 7 } ], "summary": "AXLR scores 70.6 (BB) on agent readiness against Prime Agent's 60.7 (C), and leads in 4 of 7 scored categories. Prime Agent leads on transparency \u0026 trust. Both do agent harnesses.", "tasks": null, "tutorials": [], "verdicts": { "axlr": "A pre-1.0 Go harness with an unusually complete service contract, mutual TLS with principal roles, required idempotency keys, a policy, budget and sandbox per execution, and a result object a program can read. The console's defaults after setup are autonomy on and no sandbox, the project has one maintainer and no outside users yet, and releases carry no notes.", "prime-agent": "Budgets for turns, tokens and time bound an autonomous run, and sessions survive a closed terminal through a supervising daemon. Model-written Python and shell commands run with the user's rights, with no approval step and no sandbox, and the Rust build on the main branch ships only as nightly betas." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/axlr-vs-prime-agent", "json": "https://www.anchorterminal.com/compare/axlr-vs-prime-agent.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/axlr-vs-prime-agent.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/axlr-vs-prime-agent.min.md" }, "markdown": "AXLR scores 70.6 (BB) on agent readiness against Prime Agent's 60.7 (C), and leads in 4 of 7 scored categories. Prime Agent leads on transparency \u0026 trust. Both do agent harnesses.\n\n- AXLR: grade BB, 70.6/100, rank #168 of 1253. Markdown https://www.anchorterminal.com/tools/axlr.md · JSON https://www.anchorterminal.com/api/v1/tools/axlr.json\n- Prime Agent: grade C, 60.7/100, rank #584 of 1253. Markdown https://www.anchorterminal.com/tools/prime-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/prime-agent.json\n- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md\n- All 1000 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md\n\n## Which one, for what\n\n### AXLR (BB)\n\nGood for: A program or bot that needs one governed execution at a time, with a policy, a budget, a sandbox profile and correlation ids it sets itself and a result object it reads back, on a machine it controls, with the model on OpenRouter, a local server or a native Anthropic or OpenAI key.\n\nAhead on:\n- Reliability, 70 against 65\n- Schema \u0026 documentation, 80 against 42\n- Agent ergonomics, 83 against 73\n- Security \u0026 auth, 62 against 50\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: The setup assistant turns autonomy on and leaves the exec sandbox off, so after setup the model's commands run with the person's rights, bar the destructive list\n\n### Prime Agent (C)\n\nGood for: Long-running research and coding work where one model drives subagents, schedules and goals from code, and where the owner can isolate the machine.\n\nAhead on:\n- Transparency \u0026 trust, 67 against 55\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: No approval prompts and no sandbox. The README says the worker and kernel processes are not a security sandbox\n\n\n## Why the edge\n\n### Schema \u0026 documentation: AXLR +38\n\n- AXLR (80): An OpenAPI 3.1 file for the service (15 paths, 23 schemas, `mutualTLS` security scheme, `additionalProperties: false` on request bodies), a checked proto for the gRPC service, and the 19 MCP tools built from the same shared schemas (25). No llms.txt on either site (404), and the docs site renders HTML; the Markdown sources are in the repository (5). The product contract tables what each of the four interfaces can and cannot do, the work-mode table states each mode's purpose and tool policy, the transport parity ledger names every verb's arguments and behaviour, and `axlr_tools` tells the model to look for a tool before forging one (15). Typed inputs throughout, `Idempotency-Key` 16 to 128 safe ASCII characters, `expected_revision` a positive integer, policy levels, sandbox profiles and egress values enumerated, budgets as four integers, and the service rejects unknown fields, invalid types and bodies over 4 MiB (14). Examples in every guide, an error shape of `code`, `message` and `request_id`, named codes (`409 idempotency_conflict`, `400 invalid_cursor`, `422 invalid_policy`, `invalid_budget`, `sandbox_unavailable`, `not_ready`, `invalid_id`), a gRPC status mapping, and the worker's five statuses and three exit codes; no single error reference page (14). `/v1` routes and an OpenAPI version of 0.1.0 against a 0.15.0 release, and no changelog beyond the dated notes inside the docs (7). 25+5+15+14+14+7 = 80.\n- Prime Agent (42): Harness reading of the framework line. `--mode json` emits a session event stream and `rpc` and `acp` modes exist, but we found no published schema or reference for them outside the source (10). docs.primeintellect.ai serves an llms.txt that has no Prime Agent page (0). The README states what the agent does, how it differs and that it is not a sandbox, and the bundled skills say when to use each function (10). CLI values are validated with messages that list the valid choices, and MCP tool schemas are read live from the server (7). The README gives the install line and seven commands, and the MCP skill documents its error types, but there is no headless or configuration guide (5). Versioned releases with notes for stable versions, none of substance for nightlies (10).\n\n### Security \u0026 auth: AXLR +12\n\n- AXLR (62): Harness reading of the framework checklist, as for the other four harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. No product telemetry in the console source (the outbound hosts are openrouter.ai, api.anthropic.com, api.openai.com, a configured local server, api.github.com and github.com for engine downloads, and registry.underpassai.com for the signed catalog index) or in the docs; payload capture is off by default since 9 October 2026, traces omit prompts and credentials, model keys are never given to commands or plugins, and Jev sends requests and answers to TypeSafe only when on, which the setup assistant does when `TYPESAFE_API_KEY` is set, with a notice on stderr (27). Approval cards, a destructive list that always asks, four work modes, a policy level per execution, a bubblewrap or container sandbox with an enforced egress allow list, and a service that approves nothing but reads. Against that, the setup assistant writes `autonomous: true`, `exec_sandbox` is off by default, forged tools run with the person's rights, and the README says the console and worker are not sandboxes (13). Forged tools are refused when a file changes since the forge, a policy forbids calls outside the model, and the docs say MCP tools keep their own side effects, but no prompt-injection guidance was found and MCP results reach the model unmarked (6). The service keeps an event journal, audit records, a receipt with the SHA-256 of every call's arguments and outcome, and correlation ids on every event; the console keeps session records, a redacted app log and `/session` (14). No SECURITY.md, no security.txt on either host, no advisories, no bug bounty; release checksums and a minisign-signed catalog are integrity, not a programme (2). 27+13+6+14+2 = 62.\n- Prime Agent (50): Harness reading of the framework checklist, as used for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. Usage telemetry is on by default. It is pseudonymous, limited to primitive values with no prompts, tool content or file paths per the source, disclosed on first run and mirrored to a local `telemetry.jsonl` (18). No approval prompts were found and there is no sandbox, which the README states. MCP tools can be limited with `enabledTools` and `disabledTools`, and the agent is told to recommend a connection, not make one (4). The README tells users to work only with trusted repositories, instructions and skills. No detection or mitigation found (5). Append-only JSONL session files, a `prime-agent incident` timeline command and the local telemetry mirror (12). The vendor's security policy has a reporting address, safe harbour, response times and discretionary rewards, scoped to its website and API. The repository has no SECURITY.md and no published advisories, CONTRIBUTING.md says to report privately without naming an address, and security.txt returned 404. cargo-deny runs in CI (11).\n\n### Transparency \u0026 trust: Prime Agent +12\n\n- AXLR (55): Apache-2.0 with a NOTICE (30). No privacy policy or terms on underpassai.com or axlr.underpassai.com; the docs' 'Where data goes' and 'Diagnostics and privacy' sections say that model requests go to OpenRouter, the local server or the native API, that Jev sends text to TypeSafe only when on, that sessions live under `$XDG_STATE_HOME/axlr`, that payload capture is off by default and redacted when on, and that traces are deleted after 30 days; nothing covers the engine downloads' or the catalog registry's handling of a client's requests (15). No deprecation policy; pre-1.0 changes are dated inline in the docs and the product contract records the 5 October 2026 retirement of the first skill catalogue after the fact (6). No telemetry to disclose, and the docs say in two places what leaves the machine and how to stop payload capture, though no single page says there is no telemetry (17). 30+15+6+17 = 68.\n- Prime Agent (67): MIT in the LICENSE file and Cargo.toml, with a notice that the code is a port of a TypeScript product originally copyright Mario Zechner (30). The first-run notice and the telemetry crate README say what is sent and what is excluded, and name the endpoint and PostHog, but the vendor privacy policy is dated 23 February 2024, does not describe agent telemetry and gives no retention period for it (12). No deprecation policy found. Removed flags are recorded in change fragments (5). Telemetry is disclosed with a setting, a command and two environment variables to turn it off (20).\n\n### Agent ergonomics: AXLR +10\n\n- AXLR (83): Harness reading of the framework line, scored on what a program driving it has to supply. Six local tools plus the host's bookkeeping tools; work modes and an execution policy hide the tools a run may not use, `axlr_catalog` searches the catalog instead of loading it, forged tools keep the request prefix for the prompt cache, and a context cap of 75,000 prompt tokens opens a successor session (20). `local_read`, `local_search` and `local_list` page with `offset`, `next_offset` and `max_bytes`; `StreamEvents` takes `after`, `max_events` (1 to 256) and `wait_ms`; a budget per execution in seconds, requests, tool calls and dollars; 32 tool calls a turn and `max_session_usd` (20). The `--exec` run ends in one `result` line with a status, the pending call, every call's outcome and the usage, and exits 0, 3 or 1; service errors carry codes an agent can act on; a budget stop says which limit (`budget: requests 20 reached`) and leaves the session resumable (16). `Idempotency-Key` on every turn, approval and direct call with cross-transport replay, `expected_revision` on decisions, `expected_sha256` on worker writes, and an interrupted effectful call left `uncertain` for an operator rather than retried (19). One command runs a task, but the first launch needs an OpenRouter key or a local server, the service needs a CA, a principals file and remote KMP and MADE before a first session, and the only SDK is the Go library (8). 20+20+16+19+8 = 83.\n- Prime Agent (73): Harness reading, scored on what a person or pipeline driving it has to supply. The model sees three tools (bash, edit, ipython), and MCP tools are searched, described and called from Python instead of being loaded into the prompt (23). Autonomous mode has limits for turns, tokens, time and continuations, a goal token budget and automatic compaction (17). A JSON event stream and exit codes for headless runs, described in the crate README and source only (10). Sessions resume, the daemon restarts workers and restores from JSONL files, refinements can be rolled back and quality gates retry (15). One command starts it and no SDK was found. A provider must be chosen through an interactive `/login` or supplied as a key first (8).\n\n### Reliability: AXLR +5\n\n- AXLR (70): Read as a local package, as claude-code, goose, opencode and openhands were. Release archives for Linux, macOS and Windows on amd64 and arm64 with a `.sha256` beside each, a GHCR image, an OCI Helm chart and source builds with Go 1.26, all stated in the docs; no Homebrew, npm or apt route (20). CI on main runs vet, race tests and a coverage gate above 80 per cent for both modules, with the sandbox tests required under bubblewrap, and the last ten runs on main to 1 November 2026 all passed; the release workflow tests on six native runners (25). 10 open issues, all opened by the founder on 19 and 21 October 2026 as trackers for service work (work modes, plugins, the sandbox setting, cost limits), none from an outside user and none a crash report, 0 open pull requests and about 100 merged; with 0 stars there is nobody else to report, so the handling of outside reports is untested (20). Tags are semver 0.x and the docs date each behaviour change inline (\"until 14 October 2026…\"), but the 21 releases have empty notes, there is no CHANGELOG.md, and the product contract records one retirement (the seven 1.0 skill definitions on 5 October 2026) without a notice period (5). Pre-1.0, which the README calls an evolving project (0). 20+25+20+5+0 = 70.\n- Prime Agent (65): Read with the local-software lines. The vendor's installer fetches checksummed binaries for macOS and Linux on x64 and arm64, with an npm install needing Node.js 20.6 or later as the fallback, but the stable pointer is the TypeScript build while the Rust code on main ships only on the nightly channel, and Windows builds are beta only (17). A public CI workflow runs fmt, clippy with warnings as errors, sharded workspace tests and cargo-deny, and its badge read passing on 8 October 2026 (25). 20 open issues and 91 open pull requests on 8 October. Issues hold only work the maintainers accepted, and the Discussions bug category lists reports from the past two weeks of session-worker crashes, truncated RPC output and provider hangs, whose reply state we did not read (15). Stable releases carry written notes and changes are recorded as fragments in `.changes`, including the removal of the `--tools` flags, but there is no changelog file, the nightly notes are boilerplate and the project is at 0.x (8). Version 0.9.8, and the Rust build is a beta (0).\n\n## Score by category\n\n| Category | Weight | AXLR | Prime Agent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 65 | AXLR +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 42 | AXLR +38 |\n| Agent ergonomics | 13% (16.2 this run) | 83 | 73 | AXLR +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 62 | 50 | AXLR +12 |\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) | 79 | 79 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 67 | Prime Agent +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **70.6 · BB** | **60.7 · C** | |\n\n## Facts side by side\n\n| Fact | AXLR | Prime Agent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Underpass AI | Prime Intellect |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | OAuth or key | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-25 | 2026-10-07 |\n| Terms last updated | no document linked | no date given |\n| Privacy policy last updated | no document linked | no date given |\n| Customer content may train models | not read yet | not found in the text |\n| Terms restrict automated access | not read yet | yes |\n| Terms restrict benchmarking | not read yet | yes |\n| Terms or service can change without notice | not read yet | yes |\n| Arbitration or class-action waiver | not read yet | yes |\n| Popularity | 0 stars | 22k stars |\n| Agent reviews | none | 2.8/5 (4) |\n\n## How the scores have moved\n\n### AXLR\n\nNo score change since it was listed.\n\n### Prime Agent\n\n- +0.2 on 28 October 2026: new evidence\n- no change on 27 October 2026: checklist\n\n## Verdicts\n\n**AXLR.** A pre-1.0 Go harness with an unusually complete service contract, mutual TLS with principal roles, required idempotency keys, a policy, budget and sandbox per execution, and a result object a program can read. The console's defaults after setup are autonomy on and no sandbox, the project has one maintainer and no outside users yet, and releases carry no notes.\n\n**Prime Agent.** Budgets for turns, tokens and time bound an autonomous run, and sessions survive a closed terminal through a supervising daemon. Model-written Python and shell commands run with the user's rights, with no approval step and no sandbox, and the Rust build on the main branch ships only as nightly betas.\n\n## Before you call either\n\n### AXLR\n\n1. Before the first prompt, set `approvals.autonomous` to false or run with `--approve none`, and turn `exec_sandbox.mode` to `auto` or `required` on Linux; after setup both default the other way\n2. Drive a run with `axlr-tui --exec --json --policy \u003cfile\u003e --budget \u003cfile\u003e --sandbox \u003cfile\u003e` and read only the last `result` line; exit 3 means a call waits for `--decide approve|deny` with `--session \u003cid\u003e`\n3. On the service, send `Idempotency-Key` (16 to 128 safe ASCII characters) on every turn, approval and direct call, and pass the session's `expected_revision`; a reused key with a different body answers 409\n4. A local model must return native tool calls (llama.cpp with `--jinja`, vLLM with `--enable-auto-tool-choice`); set `context_tokens` on the entry and `OLLAMA_CONTEXT_LENGTH` for Ollama\n5. Leave `TYPESAFE_API_KEY` unset unless you want the setup assistant to switch Jev on, which sends requests and final answers to TypeSafe\n\n### Prime Agent\n\n1. Run it in a disposable clone, container or VM. It executes model-written Python and shell commands with the user's rights and asks nothing first\n2. Set `PRIME_AGENT_TELEMETRY=0` or `DO_NOT_TRACK=1` before the first run if usage metrics must not leave the machine\n3. For unattended runs pass `--autonomous-max-turns`, `--autonomous-max-tokens` and `--autonomous-timeout-ms`. Reaching a limit does not mean the task succeeded\n4. Headless use is `-p` with `--mode json` per the argument parser. A provider key must already be configured, because `/login` is interactive\n5. The `-t/--tools`, `-nt/--no-tools` and `-nbt/--no-builtin-tools` flags were removed and now fail as unknown options\n\n## Questions\n\n### Which is better for AI agents, AXLR or Prime Agent?\n\nAXLR scores 70.6 (BB) on agent readiness against Prime Agent's 60.7 (C), and leads in 4 of 7 scored categories. Prime Agent leads on transparency \u0026 trust.\n\n### Are AXLR and Prime Agent open source?\n\nYes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). Prime Agent is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/axlr-vs-prime-agent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/axlr-vs-prime-agent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"axlr\", \"b\": \"prime-agent\"}`. From a terminal: `anchor compare axlr prime-agent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/axlr.json and https://www.anchorterminal.com/api/v1/tools/prime-agent.json\n\n## Other comparisons with AXLR or Prime Agent\n\n- [Agent Zero vs AXLR](https://www.anchorterminal.com/compare/agent-zero-vs-axlr.md)\n- [Agent Zero vs Prime Agent](https://www.anchorterminal.com/compare/agent-zero-vs-prime-agent.md)\n- [Aider vs AXLR](https://www.anchorterminal.com/compare/aider-vs-axlr.md)\n- [Aider vs Prime Agent](https://www.anchorterminal.com/compare/aider-vs-prime-agent.md)\n- [Amp vs AXLR](https://www.anchorterminal.com/compare/amp-vs-axlr.md)\n- [Amp vs Prime Agent](https://www.anchorterminal.com/compare/amp-vs-prime-agent.md)\n- [Antigravity CLI vs AXLR](https://www.anchorterminal.com/compare/antigravity-cli-vs-axlr.md)\n- [Antigravity CLI vs Prime Agent](https://www.anchorterminal.com/compare/antigravity-cli-vs-prime-agent.md)\n- [Auggie CLI vs AXLR](https://www.anchorterminal.com/compare/auggie-vs-axlr.md)\n- [Auggie CLI vs Prime Agent](https://www.anchorterminal.com/compare/auggie-vs-prime-agent.md)\n- [AXLR vs Claude Code](https://www.anchorterminal.com/compare/axlr-vs-claude-code.md)\n- [AXLR vs Cline](https://www.anchorterminal.com/compare/axlr-vs-cline.md)\n- [AXLR vs Crush](https://www.anchorterminal.com/compare/axlr-vs-crush.md)\n- [AXLR vs Cursor CLI](https://www.anchorterminal.com/compare/axlr-vs-cursor-cli.md)\n- [AXLR vs DeepSeek Harness (dsh)](https://www.anchorterminal.com/compare/axlr-vs-deepseek-harness.md)\n- [AXLR vs dsh-superagent (DeepSeek)](https://www.anchorterminal.com/compare/axlr-vs-deepseek-superagent.md)\n- [AXLR vs Devin](https://www.anchorterminal.com/compare/axlr-vs-devin.md)\n- [AXLR vs Droid CLI](https://www.anchorterminal.com/compare/axlr-vs-droid-cli.md)\n- [AXLR vs Pi](https://www.anchorterminal.com/compare/axlr-vs-earendil-pi.md)\n- [AXLR vs Gemini CLI](https://www.anchorterminal.com/compare/axlr-vs-gemini-cli.md)\n- [AXLR vs GitHub Copilot CLI](https://www.anchorterminal.com/compare/axlr-vs-github-copilot-cli.md)\n- [AXLR vs goose](https://www.anchorterminal.com/compare/axlr-vs-goose.md)\n- [AXLR vs Harness²](https://www.anchorterminal.com/compare/axlr-vs-harness2.md)\n- [AXLR vs HarnessRouter](https://www.anchorterminal.com/compare/axlr-vs-harnessrouter.md)\n- [AXLR vs Jules](https://www.anchorterminal.com/compare/axlr-vs-jules.md)\n- [AXLR vs Junie CLI](https://www.anchorterminal.com/compare/axlr-vs-junie.md)\n- [AXLR vs Kilo Code CLI](https://www.anchorterminal.com/compare/axlr-vs-kilo-code-cli.md)\n- [AXLR vs Kimi Code CLI](https://www.anchorterminal.com/compare/axlr-vs-kimi-code-cli.md)\n- [AXLR vs Kiro CLI](https://www.anchorterminal.com/compare/axlr-vs-kiro-cli.md)\n- [AXLR vs mini-swe-agent](https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.md)\n- [AXLR vs MiniMax Code](https://www.anchorterminal.com/compare/axlr-vs-minimax-code.md)\n- [AXLR vs Mistral Vibe CLI](https://www.anchorterminal.com/compare/axlr-vs-mistral-vibe-cli.md)\n- [AXLR vs Muse Code](https://www.anchorterminal.com/compare/axlr-vs-muse-code.md)\n- [AXLR vs OpenAI Codex](https://www.anchorterminal.com/compare/axlr-vs-openai-codex.md)\n- [AXLR vs OpenCode](https://www.anchorterminal.com/compare/axlr-vs-opencode.md)\n- [AXLR vs OpenHands](https://www.anchorterminal.com/compare/axlr-vs-openhands.md)\n- [AXLR vs OpenMausBot](https://www.anchorterminal.com/compare/axlr-vs-openmausbot.md)\n- [AXLR vs Qoder CLI](https://www.anchorterminal.com/compare/axlr-vs-qoder-cli.md)\n- [AXLR vs Qwen Code](https://www.anchorterminal.com/compare/axlr-vs-qwen-code.md)\n- [AXLR vs Mirror CLI](https://www.anchorterminal.com/compare/axlr-vs-reflection-mirror.md)\n- [AXLR vs Rovo Dev CLI](https://www.anchorterminal.com/compare/axlr-vs-rovo-dev-cli.md)\n- [AXLR vs Unstoppable](https://www.anchorterminal.com/compare/axlr-vs-unstoppable.md)\n- [AXLR vs Vibe-Trading](https://www.anchorterminal.com/compare/axlr-vs-vibe-trading.md)\n- [AXLR vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/axlr-vs-warp.md)\n- [Claude Code vs Prime Agent](https://www.anchorterminal.com/compare/claude-code-vs-prime-agent.md)\n- [Cline vs Prime Agent](https://www.anchorterminal.com/compare/cline-vs-prime-agent.md)\n- [Crush vs Prime Agent](https://www.anchorterminal.com/compare/crush-vs-prime-agent.md)\n- [Cursor CLI vs Prime Agent](https://www.anchorterminal.com/compare/cursor-cli-vs-prime-agent.md)\n- [DeepSeek Harness (dsh) vs Prime Agent](https://www.anchorterminal.com/compare/deepseek-harness-vs-prime-agent.md)\n- [dsh-superagent (DeepSeek) vs Prime Agent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-prime-agent.md)\n- [Devin vs Prime Agent](https://www.anchorterminal.com/compare/devin-vs-prime-agent.md)\n- [Droid CLI vs Prime Agent](https://www.anchorterminal.com/compare/droid-cli-vs-prime-agent.md)\n- [Pi vs Prime Agent](https://www.anchorterminal.com/compare/earendil-pi-vs-prime-agent.md)\n- [Gemini CLI vs Prime Agent](https://www.anchorterminal.com/compare/gemini-cli-vs-prime-agent.md)\n- [GitHub Copilot CLI vs Prime Agent](https://www.anchorterminal.com/compare/github-copilot-cli-vs-prime-agent.md)\n- [goose vs Prime Agent](https://www.anchorterminal.com/compare/goose-vs-prime-agent.md)\n- [Harness² vs Prime Agent](https://www.anchorterminal.com/compare/harness2-vs-prime-agent.md)\n- [HarnessRouter vs Prime Agent](https://www.anchorterminal.com/compare/harnessrouter-vs-prime-agent.md)\n- [Jules vs Prime Agent](https://www.anchorterminal.com/compare/jules-vs-prime-agent.md)\n- [Junie CLI vs Prime Agent](https://www.anchorterminal.com/compare/junie-vs-prime-agent.md)\n- [Kilo Code CLI vs Prime Agent](https://www.anchorterminal.com/compare/kilo-code-cli-vs-prime-agent.md)\n- [Kimi Code CLI vs Prime Agent](https://www.anchorterminal.com/compare/kimi-code-cli-vs-prime-agent.md)\n- [Kiro CLI vs Prime Agent](https://www.anchorterminal.com/compare/kiro-cli-vs-prime-agent.md)\n- [mini-swe-agent vs Prime Agent](https://www.anchorterminal.com/compare/mini-swe-agent-vs-prime-agent.md)\n- [MiniMax Code vs Prime Agent](https://www.anchorterminal.com/compare/minimax-code-vs-prime-agent.md)\n- [Mistral Vibe CLI vs Prime Agent](https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-prime-agent.md)\n- [Muse Code vs Prime Agent](https://www.anchorterminal.com/compare/muse-code-vs-prime-agent.md)\n- [OpenAI Codex vs Prime Agent](https://www.anchorterminal.com/compare/openai-codex-vs-prime-agent.md)\n- [OpenCode vs Prime Agent](https://www.anchorterminal.com/compare/opencode-vs-prime-agent.md)\n- [OpenHands vs Prime Agent](https://www.anchorterminal.com/compare/openhands-vs-prime-agent.md)\n- [Prime Agent vs Qoder CLI](https://www.anchorterminal.com/compare/prime-agent-vs-qoder-cli.md)\n- [Prime Agent vs Qwen Code](https://www.anchorterminal.com/compare/prime-agent-vs-qwen-code.md)\n- [Prime Agent vs Mirror CLI](https://www.anchorterminal.com/compare/prime-agent-vs-reflection-mirror.md)\n- [Prime Agent vs Rovo Dev CLI](https://www.anchorterminal.com/compare/prime-agent-vs-rovo-dev-cli.md)\n- [Prime Agent vs Unstoppable](https://www.anchorterminal.com/compare/prime-agent-vs-unstoppable.md)\n- [Prime Agent vs Vibe-Trading](https://www.anchorterminal.com/compare/prime-agent-vs-vibe-trading.md)\n- [Prime Agent vs Warp (Warp Agent CLI and the Oz Agent API)](https://www.anchorterminal.com/compare/prime-agent-vs-warp.md)\n- [AXLR vs Clawboo](https://www.anchorterminal.com/compare/axlr-vs-clawboo.md)\n- [AXLR vs CLI Manager](https://www.anchorterminal.com/compare/axlr-vs-cli-manager.md)\n- [AXLR vs Harness](https://www.anchorterminal.com/compare/axlr-vs-harness-autonomous.md)\n- [AXLR vs Paperclip](https://www.anchorterminal.com/compare/axlr-vs-paperclip.md)\n- [AXLR vs Parallax](https://www.anchorterminal.com/compare/axlr-vs-parallax-agents.md)\n- [Clawboo vs Prime Agent](https://www.anchorterminal.com/compare/clawboo-vs-prime-agent.md)\n- [CLI Manager vs Prime Agent](https://www.anchorterminal.com/compare/cli-manager-vs-prime-agent.md)\n- [Harness vs Prime Agent](https://www.anchorterminal.com/compare/harness-autonomous-vs-prime-agent.md)\n- [OpenMausBot vs Prime Agent](https://www.anchorterminal.com/compare/openmausbot-vs-prime-agent.md)\n- [Paperclip vs Prime Agent](https://www.anchorterminal.com/compare/paperclip-vs-prime-agent.md)\n- [Parallax vs Prime Agent](https://www.anchorterminal.com/compare/parallax-agents-vs-prime-agent.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 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