{ "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 mini-swe-agent's 57.1 (C), and leads in 4 of 7 scored categories.", "b": { "slug": "mini-swe-agent", "name": "mini-swe-agent", "vendor": "SWE-bench team (Princeton and Stanford)", "vendorUrl": "https://mini-swe-agent.com", "kind": "harness", "category": "agent-harnesses", "summary": "Minimal open-source coding agent from the Princeton and Stanford team behind SWE-bench, shipped as the `mini` CLI and a Python library. It gives the model one bash tool, works with any model through LiteLLM, and is a common SWE-bench baseline.", "url": "https://www.anchorterminal.com/tools/mini-swe-agent", "markdownUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json", "dns": "mini-swe-agent.grade.anchorterminal.com", "repo": "https://github.com/SWE-agent/mini-swe-agent", "license": "MIT", "transports": [], "packages": [ { "registry": "pypi", "name": "mini-swe-agent" } ], "auth": "none", "authNotes": "No account of its own. A model key goes in an environment variable or the global `.env` file that `mini-extra config setup` writes, and is passed to the provider through LiteLLM, OpenRouter, Portkey or Requesty. Local models work through LiteLLM's `api_base`.", "pricing": "free", "pricingNotes": "Free and MIT, with nothing to buy. The owner pays the model provider, or nothing with a local model. Each run stops at a $3 cost limit by default, and a local model needs `MSWEA_COST_TRACKING=ignore_errors`.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the docs or the source (checked 2026-10-18).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 8600, "npmWeekly": null, "pypiWeekly": 4437981, "asOf": "2026-10-18" }, "docsUrl": "https://mini-swe-agent.com/latest/", "capabilities": [ "agent.harness" ], "tags": [ "harness", "coding-agent", "cli", "open-source", "python", "free", "no-card", "local", "docker" ], "lastRelease": "2026-07-23", "graded": true, "anchor": { "graded": true, "score": 57.1, "grade": "C", "agentReady": false, "rank": 736, "ranked": true, "rankOf": 1253, "categoryRank": 29, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 69, "maintenance": 49, "payments": 60, "reliability": 70, "schema": 58, "security": 56, "transparency": 56 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-18" }, "negative": -4, "negativeNotes": [ "2026-10-10. CVE-2026-108592 (CVSS 4.0 score 6.0, from VulnCheck). The bubblewrap environment builds its `bwrap` command without `--clearenv` or `--unshare-net`, so commands inherit the host environment, model keys included, and can send them out over the network after a prompt injection in task content. Confirmed in src/minisweagent/environments/extra/bubblewrap.py at 2.4.6 and on main (3 September). The environment is opt-in and marked experimental, but it's the documented lightweight sandbox and no release fixes it, -4. https://nvd.nist.gov/vuln/detail/CVE-2026-108592" ], "verdict": "A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and the only release in 90 days was 2.4.6 on 23 July 2026.", "bestFor": "Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.", "strengths": [ "MIT, with an agent class of about 190 lines that a reviewer can read in one sitting", "Step, cost ($3 by default) and wall-time limits, each ending the run with its own exit status in the trajectory", "Any model through LiteLLM, OpenRouter, Portkey or Requesty, local ones included, with no account", "Docker, Podman and Singularity environments, where the Docker one forwards no host variables unless listed", "No telemetry found in the source" ], "weaknesses": [ "The default local environment runs commands on the host with no isolation and the full host environment", "CVE-2026-108592, published 10 October 2026, leaves the experimental bubblewrap sandbox passing host API keys and network through, unfixed in 2.4.6", "One release in the 90 days to 18 October 2026, and three commits on main since 23 July", "No MCP client, no ACP and no server mode", "No changelog file, and the PyPI classifier still says 3 - Alpha at 2.4.6" ], "agentNotes": [ "Run with `-y --exit-immediately` for unattended use. Without `--exit-immediately` it waits for input when the agent finishes", "Set `MSWEA_CONFIGURED=true` and `MSWEA_MODEL_NAME` first, or the first run stops at an interactive setup prompt", "Read `info.exit_status` in the `-o` trajectory file. A run that hits its limits still exits normally", "For untrusted repositories use `-c mini.yaml -c environment.environment_class=docker -c environment.image=\u003cimage\u003e`. The local and bubblewrap environments both expose host variables", "Strip model keys from the environment commands see, since the local environment passes every host variable to each command" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 57.1 } ], "editorialScores": { "ergonomics": 69, "maintenance": 49, "payments": 60, "reliability": 70, "schema": 58, "security": 56, "transparency": 62 }, "provenanceScore": 50, "checked": { "categories": { "ergonomics": "2026-10-18", "maintenance": "2026-10-18", "payments": "2026-10-18", "reliability": "2026-10-18", "schema": "2026-10-18", "security": "2026-10-18", "transparency": "2026-10-18" }, "last": "2026-10-18", "lastMoved": "2026-10-27", "oldest": "2026-10-18", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install mini-swe-agent # or: uvx mini-swe-agent", "headless": { "command": "mini -t \"$TASK\" -y --exit-immediately -m \u003cprovider/model\u003e -l 3 -o run.traj.json", "env": { "ANTHROPIC_API_KEY": "\u003ckey\u003e", "MSWEA_CONFIGURED": "true" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/mini-swe-agent" }, "area": "frameworks", "provenance": { "legalEntity": "No legal entity named. The MIT licence names Kilian A. Lieret and Carlos E. Jimenez", "domain": "mini-swe-agent.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-18", "notes": [ "The docs site is GitHub Pages built from the repository. It has no terms, privacy policy or security.txt (/.well-known/security.txt returned 404 on 18 October 2026).", "The security page names four contacts at Princeton and Stanford by email, with no response time.", "The repository has no changelog file and tags carry only a version bump. Release notes, if any, are on GitHub releases, which we couldn't read because GitHub's web pages refused this run." ], "score": 50 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mini-swe-agent.json", "live": { "slug": "mini-swe-agent", "versions": [ { "registry": "github", "name": "SWE-agent/mini-swe-agent", "version": "v2.4.6", "released": "2026-07-23", "seenAt": "2026-11-01T17:15:31.919691981Z" }, { "registry": "pypi", "name": "mini-swe-agent", "version": "2.4.6", "released": "2026-07-23", "seenAt": "2026-11-01T17:15:30.698872779Z" } ], "githubStars": 9016, "pypiWeekly": 3615487, "securityTxt": { "url": "https://mini-swe-agent.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-01T15:43:12.578900919Z" }, "domain": { "domain": "mini-swe-agent.com", "registered": "2025-07-23", "source": "https://rdap.verisign.com/com/v1/domain/mini-swe-agent.com", "checkedAt": "2026-11-01T14:12:26.696049173Z" }, "github": { "repo": "swe-agent/mini-swe-agent", "checkedAt": "2026-10-26T08:09:15.002609873Z", "stars": 8842, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-19T22:57:58Z", "openIssues": 43, "openPRs": 79, "issuesOpened90d": 32, "issuesClosed90d": 3, "prsMerged90d": 1, "ci": { "branch": "main", "runs": 50, "success": 48, "failure": 2, "other": 0, "latest": "success", "latestAt": "2026-09-03T05:06:48Z" }, "replies": { "sampled": 25, "unanswered": 23, "medianDays": 7.8 } }, "updatedAt": "2026-11-01T17:15:31.919691981Z" } }, "edges": [ { "by": 30, "category": "maintenance", "leads": "axlr", "name": "Maintenance \u0026 community", "reasons": { "a": "v0.15.0 on 2026-10-25, with commits on main to 2026-11-01 (30). 21 releases between 4 and 25 October 2026 (20). One maintainer (368 of 399 commits, the rest by two agent accounts), 10 open issues that are his own trackers with no comments, about 100 merged pull requests and no outside report to measure a reply against (15). Not in the MCP registry; the Go module and a proto to generate clients from are the only client code, beside the GHCR image and Helm chart (5). Go 1.26 toolchain pinned, release actions pinned by commit SHA, a go-licenses check that the third-party bundle matches the dependency graph, and CI passing on main (9). 30+20+15+5+9 = 79.", "b": "2.4.6 on PyPI on 2026-07-23, 87 days before this check (20). One release in the 90 days to 18 October (0). Three commits on main since 23 July, one from pre-commit-ci, the last on 3 September. 38 open issues against 247 closed and 61 open pull requests against 649 closed, per shields.io counts on 18 October, and outside fixes were merged within days through July, but maintainer reply times couldn't be read (12). The Python library ships in the same package as the CLI and is current (10). Dependabot and pre-commit-ci run, and CI workflows exist with their current state unconfirmed (7)." }, "scores": { "a": 79, "b": 49 } }, { "by": 22, "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": "Framework reading. Typed pydantic config classes, typed protocols for agents, models and environments, `py.typed`, a mkdocstrings API reference and a documented trajectory format, but no machine-readable spec for configs or output (15). No llms.txt (/latest/llms.txt and /llms.txt returned 404). The docs are Markdown in the repository, readable raw, though they rely on build-time includes (3). The FAQ and environments page say when to pick mini over SWE-agent and which environment isolates, but the FAQ still says it doesn't use tool calls while the v2 guide says tool calls are now the default (12). Modes are a typed Literal and limits are typed fields, while `model_kwargs` passes free-form to LiteLLM (10). Hello-world and cookbook examples, a model troubleshooting page and a partial list of exit statuses (11). A dated v2 migration guide and kept v1 docs, with release notes only on GitHub, which we couldn't read (7)." }, "scores": { "a": 80, "b": 58 } }, { "by": 14, "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 of the framework line, scored on what an agent or pipeline driving it has to supply. One bash tool and a short system prompt, with output over 10,000 characters cut to its first and last 5,000, but no compaction of a long history (22). Step, cost and wall-time limits, global call and cost limits by environment variable, and a 30-second timeout per command (18). The trajectory JSON records Submitted, LimitsExceeded, TimeExceeded or RepeatedFormatError, but stdout is human-readable only and these aren't process exit codes (12). Model calls retry ten times with exponential backoff, and the trajectory is saved after every step, but there's no resume and no undo (8). Python bindings only. An unattended `mini` run needs `-y`, `--exit-immediately` and `MSWEA_CONFIGURED`, the last found only in the source (9). No MCP client, ACP or server mode." }, "scores": { "a": 83, "b": 69 } }, { "by": 6, "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, used for every harness in this batch. 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 telemetry in mini's own source, and prompts go only to the configured provider. LiteLLM's own network behaviour wasn't checked (28). The CLI asks before each command by default, with regex whitelists and `-y` to skip, but the Python `DefaultAgent` never asks, the default local environment has no isolation and passes the full host environment to every command, and the experimental bubblewrap sandbox leaks host variables and shares the network (CVE-2026-108592). Docker forwards no host variables unless listed (8). No prompt-injection guidance found (2). A full trajectory of every command and output saved as JSON after each step, and a trajectory inspector (13). A security page naming four maintainers' emails with no response time, no bounty or advisory page found, and CVE-2026-108592 published by VulnCheck on 10 October with no fix released. Compromised LiteLLM 1.82.7 and 1.82.8 are excluded in the dependency pins since 24 March 2026 (#794) (5)." }, "scores": { "a": 62, "b": 56 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Underpass AI", "b": "SWE-bench team (Princeton and Stanford)", "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": "2026-07-23", "name": "Last release" }, { "a": "no document linked", "b": "no document linked", "name": "Terms last updated" }, { "a": "no document linked", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "0 stars", "b": "8.6k stars, 4.4M PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "AXLR scores 70.6 (BB) on agent readiness against mini-swe-agent's 57.1 (C), and leads in 4 of 7 scored categories.", "question": "Which is better for AI agents, AXLR or mini-swe-agent?" }, { "answer": "Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). mini-swe-agent is open source (MIT).", "question": "Are AXLR and mini-swe-agent open source?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 80 against 58", "Agent ergonomics, 83 against 69", "Security \u0026 auth, 62 against 56", "Maintenance \u0026 community, 79 against 49" ], "also": [ "Agent-ready, a grade of BB or better", "No incidents deducted, where mini-swe-agent loses 4 points for them" ], "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": null, "also": [ "No key needed to call it" ], "goodFor": "Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.", "slug": "mini-swe-agent", "watchFor": "The default local environment runs commands on the host with no isolation and the full host environment" } ], "history": { "axlr": null, "mini-swe-agent": [ { "causes": [ "evidence" ], "date": "2026-10-27", "delta": 0.4, "from": 56.7, "fromGrade": "C", "to": 57.1, "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-mini-swe-agent.json", "title": "Agent Zero vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-axlr.json", "title": "Aider vs AXLR", "url": "https://www.anchorterminal.com/compare/aider-vs-axlr" }, { "json": "https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.json", "title": "Aider vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-axlr.json", "title": "Amp vs AXLR", "url": "https://www.anchorterminal.com/compare/amp-vs-axlr" }, { "json": "https://www.anchorterminal.com/compare/amp-vs-mini-swe-agent.json", "title": "Amp vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/amp-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/antigravity-cli-vs-axlr.json", "title": "Antigravity CLI vs AXLR", "url": "https://www.anchorterminal.com/compare/antigravity-cli-vs-axlr" }, { "json": 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"title": "AXLR vs Crush", "url": "https://www.anchorterminal.com/compare/axlr-vs-crush" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-cursor-cli.json", "title": "AXLR vs Cursor CLI", "url": "https://www.anchorterminal.com/compare/axlr-vs-cursor-cli" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-deepseek-harness.json", "title": "AXLR vs DeepSeek Harness (dsh)", "url": "https://www.anchorterminal.com/compare/axlr-vs-deepseek-harness" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-deepseek-superagent.json", "title": "AXLR vs dsh-superagent (DeepSeek)", "url": "https://www.anchorterminal.com/compare/axlr-vs-deepseek-superagent" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-devin.json", "title": "AXLR vs Devin", "url": "https://www.anchorterminal.com/compare/axlr-vs-devin" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-droid-cli.json", "title": "AXLR vs Droid CLI", "url": 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"https://www.anchorterminal.com/compare/axlr-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-rovo-dev-cli.json", "title": "AXLR vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/axlr-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-unstoppable.json", "title": "AXLR vs Unstoppable", "url": "https://www.anchorterminal.com/compare/axlr-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-vibe-trading.json", "title": "AXLR vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/axlr-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/axlr-vs-warp.json", "title": "AXLR vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/axlr-vs-warp" }, { "json": "https://www.anchorterminal.com/compare/claude-code-vs-mini-swe-agent.json", "title": "Claude Code vs mini-swe-agent", "url": 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"https://www.anchorterminal.com/compare/github-copilot-cli-vs-mini-swe-agent.json", "title": "GitHub Copilot CLI vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/github-copilot-cli-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/goose-vs-mini-swe-agent.json", "title": "goose vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/goose-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/harness2-vs-mini-swe-agent.json", "title": "Harness² vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/harness2-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/harnessrouter-vs-mini-swe-agent.json", "title": "HarnessRouter vs mini-swe-agent", "url": "https://www.anchorterminal.com/compare/harnessrouter-vs-mini-swe-agent" }, { "json": "https://www.anchorterminal.com/compare/jules-vs-mini-swe-agent.json", "title": "Jules vs mini-swe-agent", "url": 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"mini-swe-agent vs MiniMax Code", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-minimax-code" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-mistral-vibe-cli.json", "title": "mini-swe-agent vs Mistral Vibe CLI", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-mistral-vibe-cli" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-muse-code.json", "title": "mini-swe-agent vs Muse Code", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-muse-code" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-codex.json", "title": "mini-swe-agent vs OpenAI Codex", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openai-codex" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-opencode.json", "title": "mini-swe-agent vs OpenCode", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-opencode" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openhands.json", "title": "mini-swe-agent vs OpenHands", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openhands" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openmausbot.json", "title": "mini-swe-agent vs OpenMausBot", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-openmausbot" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-prime-agent.json", "title": "mini-swe-agent vs Prime Agent", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-prime-agent" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-qoder-cli.json", "title": "mini-swe-agent vs Qoder CLI", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-qoder-cli" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-qwen-code.json", "title": "mini-swe-agent vs Qwen Code", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-qwen-code" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-reflection-mirror.json", "title": "mini-swe-agent vs Mirror CLI", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-reflection-mirror" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-rovo-dev-cli.json", "title": "mini-swe-agent vs Rovo Dev CLI", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-rovo-dev-cli" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-unstoppable.json", "title": "mini-swe-agent vs Unstoppable", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-unstoppable" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-vibe-trading.json", "title": "mini-swe-agent vs Vibe-Trading", "url": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-vibe-trading" }, { "json": "https://www.anchorterminal.com/compare/mini-swe-agent-vs-warp.json", "title": "mini-swe-agent vs Warp (Warp Agent CLI and the Oz Agent API)", "url": "https://www.anchorterminal.com/compare/mini-swe-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" } ], "panel": null, "scores": [ { "axlr": 70, "by": 0, "edge": "", "key": "reliability", "mini-swe-agent": 70, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "axlr": 80, "by": 22, "edge": "axlr", "key": "schema", "mini-swe-agent": 58, "name": "Schema \u0026 documentation", "weight": 13 }, { "axlr": 83, "by": 14, "edge": "axlr", "key": "ergonomics", "mini-swe-agent": 69, "name": "Agent ergonomics", "weight": 13 }, { "axlr": 62, "by": 6, "edge": "axlr", "key": "security", "mini-swe-agent": 56, "name": "Security \u0026 auth", "weight": 14 }, { "axlr": 60, "by": 0, "edge": "", "key": "payments", "mini-swe-agent": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "axlr": 79, "by": 30, "edge": "axlr", "key": "maintenance", "mini-swe-agent": 49, "name": "Maintenance \u0026 community", "weight": 7 }, { "axlr": 55, "by": 1, "edge": "mini-swe-agent", "key": "transparency", "mini-swe-agent": 56, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "AXLR scores 70.6 (BB) on agent readiness against mini-swe-agent's 57.1 (C), and leads in 4 of 7 scored categories. 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.", "mini-swe-agent": "A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and the only release in 90 days was 2.4.6 on 23 July 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent", "json": "https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.min.md" }, "markdown": "AXLR scores 70.6 (BB) on agent readiness against mini-swe-agent's 57.1 (C), and leads in 4 of 7 scored categories. 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- mini-swe-agent: grade C, 57.1/100, rank #736 of 1253. Markdown https://www.anchorterminal.com/tools/mini-swe-agent.md · JSON https://www.anchorterminal.com/api/v1/tools/mini-swe-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- Schema \u0026 documentation, 80 against 58\n- Agent ergonomics, 83 against 69\n- Security \u0026 auth, 62 against 56\n- Maintenance \u0026 community, 79 against 49\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where mini-swe-agent loses 4 points for them\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### mini-swe-agent (C)\n\nGood for: Benchmark runs, research baselines and RL or fine-tuning pipelines that want a minimal, readable agent with a linear trajectory, and for people who want to read every line of their harness.\n\nAlso in its favour:\n- No key needed to call it\n\nWatch for: The default local environment runs commands on the host with no isolation and the full host environment\n\n\n## Why the edge\n\n### Maintenance \u0026 community: AXLR +30\n\n- AXLR (79): v0.15.0 on 2026-10-25, with commits on main to 2026-11-01 (30). 21 releases between 4 and 25 October 2026 (20). One maintainer (368 of 399 commits, the rest by two agent accounts), 10 open issues that are his own trackers with no comments, about 100 merged pull requests and no outside report to measure a reply against (15). Not in the MCP registry; the Go module and a proto to generate clients from are the only client code, beside the GHCR image and Helm chart (5). Go 1.26 toolchain pinned, release actions pinned by commit SHA, a go-licenses check that the third-party bundle matches the dependency graph, and CI passing on main (9). 30+20+15+5+9 = 79.\n- mini-swe-agent (49): 2.4.6 on PyPI on 2026-07-23, 87 days before this check (20). One release in the 90 days to 18 October (0). Three commits on main since 23 July, one from pre-commit-ci, the last on 3 September. 38 open issues against 247 closed and 61 open pull requests against 649 closed, per shields.io counts on 18 October, and outside fixes were merged within days through July, but maintainer reply times couldn't be read (12). The Python library ships in the same package as the CLI and is current (10). Dependabot and pre-commit-ci run, and CI workflows exist with their current state unconfirmed (7).\n\n### Schema \u0026 documentation: AXLR +22\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- mini-swe-agent (58): Framework reading. Typed pydantic config classes, typed protocols for agents, models and environments, `py.typed`, a mkdocstrings API reference and a documented trajectory format, but no machine-readable spec for configs or output (15). No llms.txt (/latest/llms.txt and /llms.txt returned 404). The docs are Markdown in the repository, readable raw, though they rely on build-time includes (3). The FAQ and environments page say when to pick mini over SWE-agent and which environment isolates, but the FAQ still says it doesn't use tool calls while the v2 guide says tool calls are now the default (12). Modes are a typed Literal and limits are typed fields, while `model_kwargs` passes free-form to LiteLLM (10). Hello-world and cookbook examples, a model troubleshooting page and a partial list of exit statuses (11). A dated v2 migration guide and kept v1 docs, with release notes only on GitHub, which we couldn't read (7).\n\n### Agent ergonomics: AXLR +14\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- mini-swe-agent (69): Harness reading of the framework line, scored on what an agent or pipeline driving it has to supply. One bash tool and a short system prompt, with output over 10,000 characters cut to its first and last 5,000, but no compaction of a long history (22). Step, cost and wall-time limits, global call and cost limits by environment variable, and a 30-second timeout per command (18). The trajectory JSON records Submitted, LimitsExceeded, TimeExceeded or RepeatedFormatError, but stdout is human-readable only and these aren't process exit codes (12). Model calls retry ten times with exponential backoff, and the trajectory is saved after every step, but there's no resume and no undo (8). Python bindings only. An unattended `mini` run needs `-y`, `--exit-immediately` and `MSWEA_CONFIGURED`, the last found only in the source (9). No MCP client, ACP or server mode.\n\n### Security \u0026 auth: AXLR +6\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- mini-swe-agent (56): Harness reading of the framework checklist, used for every harness in this batch. 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 telemetry in mini's own source, and prompts go only to the configured provider. LiteLLM's own network behaviour wasn't checked (28). The CLI asks before each command by default, with regex whitelists and `-y` to skip, but the Python `DefaultAgent` never asks, the default local environment has no isolation and passes the full host environment to every command, and the experimental bubblewrap sandbox leaks host variables and shares the network (CVE-2026-108592). Docker forwards no host variables unless listed (8). No prompt-injection guidance found (2). A full trajectory of every command and output saved as JSON after each step, and a trajectory inspector (13). A security page naming four maintainers' emails with no response time, no bounty or advisory page found, and CVE-2026-108592 published by VulnCheck on 10 October with no fix released. Compromised LiteLLM 1.82.7 and 1.82.8 are excluded in the dependency pins since 24 March 2026 (#794) (5).\n\n## Score by category\n\n| Category | Weight | AXLR | mini-swe-agent | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 70 | even |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 58 | AXLR +22 |\n| Agent ergonomics | 13% (16.2 this run) | 83 | 69 | AXLR +14 |\n| Security \u0026 auth | 14% (17.5 this run) | 62 | 56 | AXLR +6 |\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 | 49 | AXLR +30 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 56 | mini-swe-agent +1 |\n| Negative events | ≤15 | 0 | -4 | |\n| **Total** | | **70.6 · BB** | **57.1 · C** | |\n\n## Facts side by side\n\n| Fact | AXLR | mini-swe-agent |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Underpass AI | SWE-bench team (Princeton and Stanford) |\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 | 2026-07-23 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Popularity | 0 stars | 8.6k stars, 4.4M PyPI/wk |\n| Agent reviews | none | 3/5 (4) |\n\n## How the scores have moved\n\n### AXLR\n\nNo score change since it was listed.\n\n### mini-swe-agent\n\n- +0.4 on 27 October 2026: new evidence\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**mini-swe-agent.** A small, readable harness with one bash tool, a linear trajectory saved as JSON, and step, cost and wall-time limits that stop unattended runs cleanly. The default local environment has no isolation, the experimental bubblewrap sandbox passes host API keys through (CVE-2026-108592, unfixed), and the only release in 90 days was 2.4.6 on 23 July 2026.\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### mini-swe-agent\n\n1. Run with `-y --exit-immediately` for unattended use. Without `--exit-immediately` it waits for input when the agent finishes\n2. Set `MSWEA_CONFIGURED=true` and `MSWEA_MODEL_NAME` first, or the first run stops at an interactive setup prompt\n3. Read `info.exit_status` in the `-o` trajectory file. A run that hits its limits still exits normally\n4. For untrusted repositories use `-c mini.yaml -c environment.environment_class=docker -c environment.image=\u003cimage\u003e`. The local and bubblewrap environments both expose host variables\n5. Strip model keys from the environment commands see, since the local environment passes every host variable to each command\n\n## Questions\n\n### Which is better for AI agents, AXLR or mini-swe-agent?\n\nAXLR scores 70.6 (BB) on agent readiness against mini-swe-agent's 57.1 (C), and leads in 4 of 7 scored categories.\n\n### Are AXLR and mini-swe-agent open source?\n\nYes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). mini-swe-agent is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.json, and with the fewest tokens: https://www.anchorterminal.com/compare/axlr-vs-mini-swe-agent.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"axlr\", \"b\": \"mini-swe-agent\"}`. From a terminal: `anchor compare axlr mini-swe-agent`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/axlr.json and https://www.anchorterminal.com/api/v1/tools/mini-swe-agent.json\n\n## Other comparisons with AXLR or mini-swe-agent\n\n- [Agent Zero vs AXLR](https://www.anchorterminal.com/compare/agent-zero-vs-axlr.md)\n- [Agent Zero vs mini-swe-agent](https://www.anchorterminal.com/compare/agent-zero-vs-mini-swe-agent.md)\n- [Aider vs AXLR](https://www.anchorterminal.com/compare/aider-vs-axlr.md)\n- [Aider vs mini-swe-agent](https://www.anchorterminal.com/compare/aider-vs-mini-swe-agent.md)\n- [Amp vs AXLR](https://www.anchorterminal.com/compare/amp-vs-axlr.md)\n- [Amp vs mini-swe-agent](https://www.anchorterminal.com/compare/amp-vs-mini-swe-agent.md)\n- [Antigravity CLI vs AXLR](https://www.anchorterminal.com/compare/antigravity-cli-vs-axlr.md)\n- [Antigravity CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/antigravity-cli-vs-mini-swe-agent.md)\n- [Auggie CLI vs AXLR](https://www.anchorterminal.com/compare/auggie-vs-axlr.md)\n- [Auggie CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/auggie-vs-mini-swe-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 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 Prime Agent](https://www.anchorterminal.com/compare/axlr-vs-prime-agent.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 mini-swe-agent](https://www.anchorterminal.com/compare/claude-code-vs-mini-swe-agent.md)\n- [Cline vs mini-swe-agent](https://www.anchorterminal.com/compare/cline-vs-mini-swe-agent.md)\n- [Crush vs mini-swe-agent](https://www.anchorterminal.com/compare/crush-vs-mini-swe-agent.md)\n- [Cursor CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/cursor-cli-vs-mini-swe-agent.md)\n- [DeepSeek Harness (dsh) vs mini-swe-agent](https://www.anchorterminal.com/compare/deepseek-harness-vs-mini-swe-agent.md)\n- [dsh-superagent (DeepSeek) vs mini-swe-agent](https://www.anchorterminal.com/compare/deepseek-superagent-vs-mini-swe-agent.md)\n- [Devin vs mini-swe-agent](https://www.anchorterminal.com/compare/devin-vs-mini-swe-agent.md)\n- [Droid CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/droid-cli-vs-mini-swe-agent.md)\n- [Pi vs mini-swe-agent](https://www.anchorterminal.com/compare/earendil-pi-vs-mini-swe-agent.md)\n- [Gemini CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/gemini-cli-vs-mini-swe-agent.md)\n- [GitHub Copilot CLI vs mini-swe-agent](https://www.anchorterminal.com/compare/github-copilot-cli-vs-mini-swe-agent.md)\n- [goose vs mini-swe-agent](https://www.anchorterminal.com/compare/goose-vs-mini-swe-agent.md)\n- [Harness² vs mini-swe-agent](https://www.anchorterminal.com/compare/harness2-vs-mini-swe-agent.md)\n- [HarnessRouter vs mini-swe-agent](https://www.anchorterminal.com/compare/harnessrouter-vs-mini-swe-agent.md)\n- [Jules vs mini-swe-agent](https://www.anchorterminal.com/compare/jules-vs-mini-swe-agent.md)\n- [Junie CLI vs 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OpenHands](https://www.anchorterminal.com/compare/mini-swe-agent-vs-openhands.md)\n- [mini-swe-agent vs OpenMausBot](https://www.anchorterminal.com/compare/mini-swe-agent-vs-openmausbot.md)\n- [mini-swe-agent vs Prime Agent](https://www.anchorterminal.com/compare/mini-swe-agent-vs-prime-agent.md)\n- [mini-swe-agent vs Qoder CLI](https://www.anchorterminal.com/compare/mini-swe-agent-vs-qoder-cli.md)\n- [mini-swe-agent vs Qwen Code](https://www.anchorterminal.com/compare/mini-swe-agent-vs-qwen-code.md)\n- [mini-swe-agent vs Mirror CLI](https://www.anchorterminal.com/compare/mini-swe-agent-vs-reflection-mirror.md)\n- [mini-swe-agent vs Rovo Dev CLI](https://www.anchorterminal.com/compare/mini-swe-agent-vs-rovo-dev-cli.md)\n- [mini-swe-agent vs Unstoppable](https://www.anchorterminal.com/compare/mini-swe-agent-vs-unstoppable.md)\n- [mini-swe-agent vs Vibe-Trading](https://www.anchorterminal.com/compare/mini-swe-agent-vs-vibe-trading.md)\n- [mini-swe-agent vs Warp (Warp Agent CLI and the Oz 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