{ "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 Mistral Vibe CLI's 63 (B), and leads in 4 of 7 scored categories. Mistral Vibe CLI leads on transparency \u0026 trust.", "b": { "slug": "mistral-vibe-cli", "name": "Mistral Vibe CLI", "vendor": "Mistral AI", "vendorUrl": "https://docs.mistral.ai/vibe/code/cli/install-setup", "kind": "harness", "category": "agent-harnesses", "summary": "Mistral AI's open-source terminal coding agent. It runs Mistral's hosted models or any OpenAI-compatible endpoint, headless with `vibe -p` and in editors through `vibe-acp`. This listing covers the CLI, not Mistral's Vibe chat app.", "url": "https://www.anchorterminal.com/tools/mistral-vibe-cli", "markdownUrl": "https://www.anchorterminal.com/tools/mistral-vibe-cli.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mistral-vibe-cli.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mistral-vibe-cli.json", "dns": "mistral-vibe-cli.grade.anchorterminal.com", "repo": "https://github.com/mistralai/mistral-vibe", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "pypi", "name": "mistral-vibe" } ], "auth": "mixed", "authNotes": "Browser sign-in with a Mistral account, or a Mistral API key in `MISTRAL_API_KEY` or `~/.vibe/.env`, created under Code, Vibe CLI in the Mistral console. The same key works on the Free plan, a paid plan or pay-as-you-go. A local OpenAI-compatible server needs no Mistral account. MCP servers take static headers or OAuth.", "pricing": "freemium", "pricingNotes": "The CLI is free under Apache-2.0. Hosted models come with a Mistral plan or an API key. Free has limited coding sessions, Pro is $14.99 a month and Team $24.99 a user a month, Enterprise by quote, with pay-as-you-go at API rates past a plan's limit. The default model, Mistral Medium 3.5, is $1.5 per million input tokens and $7.5 per million output tokens on the API. A local model costs nothing (checked 2026-10-18).", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the README, the CLI docs or the source (checked 2026-10-18).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 5100, "npmWeekly": null, "pypiWeekly": 331757, "asOf": "2026-10-18" }, "docsUrl": "https://docs.mistral.ai/vibe/code/cli/install-setup", "llmsTxt": "https://docs.mistral.ai/llms.txt", "capabilities": [ "agent.harness", "agent.mcp-client", "agent.multi-agent" ], "tags": [ "official", "harness", "coding-agent", "cli", "open-source", "python", "mcp", "acp", "llms-txt", "telemetry-default-on", "no-sandbox", "subagents", "hooks", "freemium", "no-card", "local" ], "lastRelease": "2026-10-09", "graded": true, "anchor": { "graded": true, "score": 63, "grade": "B", "agentReady": false, "rank": 470, "ranked": true, "rankOf": 1253, "categoryRank": 12, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 84, "maintenance": 75, "payments": 60, "reliability": 69, "schema": 76, "security": 58, "transparency": 80 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-18" }, "negative": -8, "negativeNotes": [ "2026-09-12. CVE-2026-87983 to CVE-2026-87988 (advisory MAI-2026-003, severity High, published 14 September 2026). Crafted shell commands could run without the approval prompt, reading or writing files outside the workspace or running code, and injected instructions could trigger them. HiddenLayer published the CVEs on 11 September and Mistral released 2.25.4 the next day. Fixed and published inside six months, so 2 points for each high, as nanobot's and zeroclaw's fixed advisories were weighed. Six highs come to 12, held at the -6 cap for fixed and published advisories that claude-code and the Claude Agent SDK listing use (research/new/NOTES-harnesses-H1.md, negative events). Paperclip's -10 adds -5 for its group of ten fixed advisories and separate lines for advisories with no patched version, which doesn't apply here (https://docs.mistral.ai/resources/security-advisories/MAI-2026-003). -6", "2026-10-18. The offline guide says that with `enable_telemetry = false` and `enable_auto_update = false` the CLI contacts no external service, and the configuration reference describes `enable_auto_update` as installing releases in the background. The 2.26.1 source has no such key. It reads `enable_update_checks`, which stays on, and the README says interactive sessions then query PyPI or uv once a day. We followed ironclaw's precedent, not zeroclaw's, because this is the vendor's documentation contradicting the shipped release on what leaves the machine, where zeroclaw's was a site-versus-docs mismatch. The safety page's line that `-p` falls back to `auto-approve` is also wrong, but it errs towards caution, so it stays a weakness with no deduction. A misleading claim, at the minimum, -2 (https://docs.mistral.ai/vibe/code/cli/offline-models; https://docs.mistral.ai/vibe/code/cli/configuration-reference; https://github.com/mistralai/mistral-vibe#update-settings). -2" ], "verdict": "Apache-2.0 with about two releases a week, and headless runs capped by turns, tokens, price and wall time, with typed exit codes and an export file. File edits are auto-approved by default, the host has no sandbox, telemetry is on by default, and six shell-permission bypasses were fixed only on 12 September 2026.", "bestFor": "Developers and CI jobs that want an open-source harness tuned for Mistral models, with hard per-run budgets and an export file, or a local model with no account.", "strengths": [ "Apache-2.0, on PyPI and Homebrew at 2.26.1, with 20 PyPI releases in the 90 days to 18 October 2026", "`vibe -p` stops on `--max-turns`, `--max-tokens`, `--max-price` or `--time-limit`, with exit codes 0 to 4 and an `export.json` naming the outcome", "Runs against any OpenAI-compatible endpoint, with a llama.cpp provider on 127.0.0.1:8080 in the defaults and a documented offline set-up", "Project `.vibe/` config, hooks, MCP servers and `AGENTS.md` load only from trusted folders, and `-p` runs never trust a folder without `--trust`", "`vibe-acp` is in the ACP registry at 2.26.1, with prebuilt binaries for macOS and Linux" ], "weaknesses": [ "The default agent auto-approves file edits, and there's no sandbox on the host. Isolation needs the experimental `--agent-socket` server or a container", "Six high-severity shell-permission bypasses (CVE-2026-87983 to CVE-2026-87988) were fixed in 2.25.4 on 12 September 2026, a day after HiddenLayer published them", "Telemetry is on by default, and the server-side experiments it enables can switch the default agent to the `smart-approve` classifier", "The docs disagree with the code. The safety page says `-p` falls back to auto-approve, and the offline guide names an `enable_auto_update` key the source doesn't define", "The repository takes no outside contributions, and its history is squashed release commits" ], "agentNotes": [ "Pass `--agent` on every `-p` run (`plan` is read-only). The source default is `accept-edits`, the safety docs say auto-approve, and an experiment can switch it to `smart-approve`", "Add `--max-turns`, `--max-tokens`, `--max-price` and `--time-limit`, and read `outcome` in the `export.json` that `--output-dir` writes. Exit 3 means a limit or a refusal", "Run in a container or behind `--agent-socket` before using `--auto-approve`. Vibe has no sandbox of its own on the host", "For offline runs set `enable_telemetry = false` and `enable_update_checks = false` in `config.toml`. The docs' `enable_auto_update` isn't the key the code reads", "Use 2.25.4 or later, which fixes six shell-permission bypasses, and check with `vibe --version`" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63 } ], "editorialScores": { "ergonomics": 84, "maintenance": 75, "payments": 60, "reliability": 69, "schema": 76, "security": 58, "transparency": 68 }, "provenanceScore": 91, "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": "uv tool install mistral-vibe # or: curl -LsSf https://mistral.ai/vibe/install.sh | bash", "headless": { "command": "vibe --prompt-file task.md --agent accept-edits --output json --max-turns 30 --max-price 1.0 --time-limit 1800 --output-dir out/", "env": { "MISTRAL_API_KEY": "\u003ckey\u003e" } } }, "letme": { "capability": "https://letme.dev/agent.harness", "tool": "https://letme.dev/mistral-vibe-cli" }, "sameCompany": [ "mistral-api", "mistral-embeddings", "mistral-moderation", "mistral-voxtral-transcribe", "voxtral-mini-4b-realtime-2602", "mistral-ocr", "mistral-large-4" ], "area": "frameworks", "provenance": { "legalEntity": "Mistral AI (RCS Paris 952 418 325)", "domain": "mistral.ai", "domainRegistered": "2019-05-15", "endpointOnVendorDomain": null, "terms": "https://legal.mistral.ai/terms/commercial-terms-of-service", "privacy": "https://legal.mistral.ai/terms/privacy-policy", "statusPage": "https://status.mistral.ai", "changelog": "https://github.com/mistralai/mistral-vibe/blob/main/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-10-18", "notes": [ "security.txt read on 2026-10-18, a Mistral security contact, Expires 2027-05-05, Policy a HackerOne submission form. SECURITY.md in the repository points to the same contact and programme", "Privacy policy effective 3 September 2026 and commercial terms effective 25 September 2026, both read on 2026-10-18. Both name Vibe among the Mistral AI products they cover", "The legal entity and domain date are carried from the mistral-api listing's 17 October check", "status.mistral.ai covers the hosted API, answered with a bot check on 17 October per the mistral-api listing and wasn't read again. It doesn't cover the local CLI" ], "score": 91 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-vibe-cli.json", "live": { "slug": "mistral-vibe-cli", "vendorStatus": { "page": "https://status.mistral.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-01T22:09:29.967970096Z" }, "versions": [ { "registry": "github", "name": "mistralai/mistral-vibe", "version": "v3.0.4", "released": "2026-10-30", "seenAt": "2026-11-01T17:16:11.04790732Z" }, { "registry": "pypi", "name": "mistral-vibe", "version": "3.0.4", "released": "2026-10-30", "seenAt": "2026-11-01T17:16:10.855404061Z" } ], "githubStars": 5268, "pypiWeekly": 318757, "securityTxt": { "url": "https://mistral.ai/.well-known/security.txt", "state": "valid", "expires": "2027-05-05T23:59:59.000Z", "checkedAt": "2026-11-01T15:42:53.893467571Z" }, "llmsTxt": { "url": "https://docs.mistral.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-01T15:14:24.6263465Z" }, "domain": { "domain": "mistral.ai", "registered": "2019-05-15", "source": "https://rdap.identitydigital.services/rdap/domain/mistral.ai", "checkedAt": "2026-11-01T14:21:43.304217994Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/mistralai/mistral-vibe/main/CHANGELOG.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-01T06:53:43.009866362Z", "changedAt": "2026-10-31T06:21:55.264964477Z", "fingerprint": "32482e7688f4" } ], "github": { "repo": "mistralai/mistral-vibe", "checkedAt": "2026-10-26T07:47:02.037729335Z", "stars": 5200, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-22T20:42:31Z", "openIssues": 219, "openPRs": 204, "issuesOpened90d": 209, "issuesClosed90d": 182, "prsMerged90d": 28, "ci": { "branch": "main", "runs": 50, "success": 40, "failure": 10, "other": 0, "latest": "failure", "latestAt": "2026-10-22T21:03:30Z" }, "replies": { "sampled": 25, "unanswered": 17, "medianDays": 1.6 } }, "updatedAt": "2026-11-01T22:09:29.967970096Z" } }, "edges": [ { "by": 25, "category": "transparency", "leads": "mistral-vibe-cli", "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": "Apache-2.0, with LICENSE and pyproject in agreement (30). The README sends readers to Mistral's privacy policy (effective 3 September 2026), which names Vibe. The commercial terms (effective 25 September 2026) say no training on customer data unless a product's default or an opt-in allows it, and the pricing page lists model training as opt-out on Free, Pro and Team. The configuration reference calls telemetry anonymous without listing its fields. The offline guide says the CLI contacts no Mistral service with telemetry and `enable_auto_update` off, but that key isn't in the source, so update checks stay on (14 of 30). Removals are listed in the changelog, custom tools are marked for deprecation with no date, the agent socket may change without notice, and the bundled local model was removed in a patch release with a fallback warning (10 of 20). Telemetry is disclosed with an opt-out in the README and the configuration reference, and the README names the server-managed shell-tool rollout, but its fields are only in the source (14 of 20). 30+14+10+14 = 68." }, "scores": { "a": 55, "b": 80 } } ], "facts": [ { "a": "Agent harness", "b": "Agent harness", "name": "Kind" }, { "a": "Underpass AI", "b": "Mistral AI", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Free", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "yes", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-25", "b": "2026-10-09", "name": "Last release" }, { "a": "no document linked", "b": "2026-09-25", "name": "Terms last updated" }, { "a": "no document linked", "b": "2026-09-03", "name": "Privacy policy last updated" }, { "a": "not read yet", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "not read yet", "b": "not found in the text", "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": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "0 stars", "b": "5.1k stars, 332k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "3.3/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "AXLR scores 70.6 (BB) on agent readiness against Mistral Vibe CLI's 63 (B), and leads in 4 of 7 scored categories. Mistral Vibe CLI leads on transparency \u0026 trust.", "question": "Which is better for AI agents, AXLR or Mistral Vibe CLI?" }, { "answer": "Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). Mistral Vibe CLI is open source (Apache-2.0).", "question": "Are AXLR and Mistral Vibe CLI open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "Agent-ready, a grade of BB or better", "No incidents deducted, where Mistral Vibe CLI loses 8 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": [ "Transparency \u0026 trust, 80 against 55" ], "also": null, "goodFor": "Developers and CI jobs that want an open-source harness tuned for Mistral models, with hard per-run budgets and an export file, or a local model with no account.", "slug": "mistral-vibe-cli", "watchFor": "The default agent auto-approves file edits, and there's no sandbox on the host. Isolation needs the experimental `--agent-socket` server or a container" } ], "history": { "axlr": null, "mistral-vibe-cli": [ { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 62.9, "fromGrade": "B", "to": 63, "toGrade": "B" } ] }, "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-mistral-vibe-cli.json", "title": "Agent Zero vs Mistral Vibe CLI", "url": "https://www.anchorterminal.com/compare/agent-zero-vs-mistral-vibe-cli" }, { "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-mistral-vibe-cli.json", "title": "Aider vs Mistral Vibe 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"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-mistral-vibe-cli.json", "title": "Clawboo vs Mistral Vibe CLI", "url": "https://www.anchorterminal.com/compare/clawboo-vs-mistral-vibe-cli" }, { "json": "https://www.anchorterminal.com/compare/cli-manager-vs-mistral-vibe-cli.json", "title": "CLI Manager vs Mistral Vibe CLI", "url": "https://www.anchorterminal.com/compare/cli-manager-vs-mistral-vibe-cli" }, { "json": "https://www.anchorterminal.com/compare/harness-autonomous-vs-mistral-vibe-cli.json", "title": "Harness vs Mistral Vibe CLI", "url": "https://www.anchorterminal.com/compare/harness-autonomous-vs-mistral-vibe-cli" }, { "json": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-paperclip.json", "title": "Mistral Vibe CLI vs Paperclip", "url": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-paperclip" }, { "json": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-parallax-agents.json", "title": "Mistral Vibe CLI vs Parallax", "url": "https://www.anchorterminal.com/compare/mistral-vibe-cli-vs-parallax-agents" } ], "panel": null, "scores": [ { "axlr": 70, "by": 1, "edge": "axlr", "key": "reliability", "mistral-vibe-cli": 69, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "axlr": 80, "by": 4, "edge": "axlr", "key": "schema", "mistral-vibe-cli": 76, "name": "Schema \u0026 documentation", "weight": 13 }, { "axlr": 83, "by": 1, "edge": "mistral-vibe-cli", "key": "ergonomics", "mistral-vibe-cli": 84, "name": "Agent ergonomics", "weight": 13 }, { "axlr": 62, "by": 4, "edge": "axlr", "key": "security", "mistral-vibe-cli": 58, "name": "Security \u0026 auth", "weight": 14 }, { "axlr": 60, "by": 0, "edge": "", "key": "payments", "mistral-vibe-cli": 60, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "axlr": 79, "by": 4, "edge": "axlr", "key": "maintenance", "mistral-vibe-cli": 75, "name": "Maintenance \u0026 community", "weight": 7 }, { "axlr": 55, "by": 25, "edge": "mistral-vibe-cli", "key": "transparency", "mistral-vibe-cli": 80, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "AXLR scores 70.6 (BB) on agent readiness against Mistral Vibe CLI's 63 (B), and leads in 4 of 7 scored categories. Mistral Vibe CLI 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.", "mistral-vibe-cli": "Apache-2.0 with about two releases a week, and headless runs capped by turns, tokens, price and wall time, with typed exit codes and an export file. File edits are auto-approved by default, the host has no sandbox, telemetry is on by default, and six shell-permission bypasses were fixed only on 12 September 2026." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/axlr-vs-mistral-vibe-cli", "json": "https://www.anchorterminal.com/compare/axlr-vs-mistral-vibe-cli.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/axlr-vs-mistral-vibe-cli.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/axlr-vs-mistral-vibe-cli.min.md" }, "markdown": "AXLR scores 70.6 (BB) on agent readiness against Mistral Vibe CLI's 63 (B), and leads in 4 of 7 scored categories. Mistral Vibe CLI 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- Mistral Vibe CLI: grade B, 63/100, rank #470 of 1253. Markdown https://www.anchorterminal.com/tools/mistral-vibe-cli.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-vibe-cli.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\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where Mistral Vibe CLI loses 8 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### Mistral Vibe CLI (B)\n\nGood for: Developers and CI jobs that want an open-source harness tuned for Mistral models, with hard per-run budgets and an export file, or a local model with no account.\n\nAhead on:\n- Transparency \u0026 trust, 80 against 55\n\nWatch for: The default agent auto-approves file edits, and there's no sandbox on the host. Isolation needs the experimental `--agent-socket` server or a container\n\n\n## Why the edge\n\n### Transparency \u0026 trust: Mistral Vibe CLI +25\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- Mistral Vibe CLI (80): Apache-2.0, with LICENSE and pyproject in agreement (30). The README sends readers to Mistral's privacy policy (effective 3 September 2026), which names Vibe. The commercial terms (effective 25 September 2026) say no training on customer data unless a product's default or an opt-in allows it, and the pricing page lists model training as opt-out on Free, Pro and Team. The configuration reference calls telemetry anonymous without listing its fields. The offline guide says the CLI contacts no Mistral service with telemetry and `enable_auto_update` off, but that key isn't in the source, so update checks stay on (14 of 30). Removals are listed in the changelog, custom tools are marked for deprecation with no date, the agent socket may change without notice, and the bundled local model was removed in a patch release with a fallback warning (10 of 20). Telemetry is disclosed with an opt-out in the README and the configuration reference, and the README names the server-managed shell-tool rollout, but its fields are only in the source (14 of 20). 30+14+10+14 = 68.\n\n## Score by category\n\n| Category | Weight | AXLR | Mistral Vibe CLI | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 69 | AXLR +1 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 76 | AXLR +4 |\n| Agent ergonomics | 13% (16.2 this run) | 83 | 84 | Mistral Vibe CLI +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 62 | 58 | AXLR +4 |\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 | 75 | AXLR +4 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 55 | 80 | Mistral Vibe CLI +25 |\n| Negative events | ≤15 | 0 | -8 | |\n| **Total** | | **70.6 · BB** | **63 · B** | |\n\n## Facts side by side\n\n| Fact | AXLR | Mistral Vibe CLI |\n| --- | --- | --- |\n| Kind | Agent harness | Agent harness |\n| Vendor | Underpass AI | Mistral AI |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder | Apache-2.0 |\n| Read-only variant documented | no | yes |\n| llms.txt | no | yes |\n| Last release | 2026-10-25 | 2026-10-09 |\n| Terms last updated | no document linked | 2026-09-25 |\n| Privacy policy last updated | no document linked | 2026-09-03 |\n| Customer content may train models | not read yet | yes, with an opt-out |\n| Terms restrict automated access | not read yet | not found in the text |\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 | not found in the text |\n| Popularity | 0 stars | 5.1k stars, 332k PyPI/wk |\n| Agent reviews | none | 3.3/5 (4) |\n\n## How the scores have moved\n\n### AXLR\n\nNo score change since it was listed.\n\n### Mistral Vibe CLI\n\n- +0.1 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**Mistral Vibe CLI.** Apache-2.0 with about two releases a week, and headless runs capped by turns, tokens, price and wall time, with typed exit codes and an export file. File edits are auto-approved by default, the host has no sandbox, telemetry is on by default, and six shell-permission bypasses were fixed only on 12 September 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### Mistral Vibe CLI\n\n1. Pass `--agent` on every `-p` run (`plan` is read-only). The source default is `accept-edits`, the safety docs say auto-approve, and an experiment can switch it to `smart-approve`\n2. Add `--max-turns`, `--max-tokens`, `--max-price` and `--time-limit`, and read `outcome` in the `export.json` that `--output-dir` writes. Exit 3 means a limit or a refusal\n3. Run in a container or behind `--agent-socket` before using `--auto-approve`. Vibe has no sandbox of its own on the host\n4. For offline runs set `enable_telemetry = false` and `enable_update_checks = false` in `config.toml`. The docs' `enable_auto_update` isn't the key the code reads\n5. Use 2.25.4 or later, which fixes six shell-permission bypasses, and check with `vibe --version`\n\n## Questions\n\n### Which is better for AI agents, AXLR or Mistral Vibe CLI?\n\nAXLR scores 70.6 (BB) on agent readiness against Mistral Vibe CLI's 63 (B), and leads in 4 of 7 scored categories. Mistral Vibe CLI leads on transparency \u0026 trust.\n\n### Are AXLR and Mistral Vibe CLI open source?\n\nYes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). Mistral Vibe CLI is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/axlr-vs-mistral-vibe-cli.json, and with the fewest tokens: https://www.anchorterminal.com/compare/axlr-vs-mistral-vibe-cli.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"axlr\", \"b\": \"mistral-vibe-cli\"}`. 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"name": "AXLR vs Mistral Vibe CLI", "url": "" } ], "description": "AXLR scores 70.6 (BB) to Mistral Vibe CLI's 63 (B) for agent harnesses. 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