Muse Code

by Meta Agent harness in Agent harnesses

Meta Platforms, Inc. · meta.ai since 2017 · who's behind it

Muse Code is Meta's coding agent for the terminal and CI, built for its Muse models. It plans, edits files and runs commands under approvals and an OS sandbox, interactively, headless through muse exec or from an SDK.

Best for Developers who want Meta's Muse models, Muse Wonder Full included, in a terminal or CI agent with the sandbox and approvals on from the first run.

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Assessment. Muse Code runs with approvals and an OS sandbox on by default, per-host network approval, an append-only event log and a headless mode with documented exit codes. It is the only route to Muse Wonder Full. It is closed source with undated release notes and no free route, and subscriptions allow training on code unless Contributor mode is turned off.

Facts

Auth
OAuth or key
Pricing
Paid · $5 / mo
x402
No
Licence
Proprietary binary, used under the Meta Model API Terms of Service, which cover Meta's coding harness. Subscriptions are also under the Meta Subscription Terms of Service. The TypeScript and Python SDKs in the linked repository are MIT.
Packages
npm @muse-code/sdk
pypi muse-code-sdk
llms.txt
published
Last release
npm / week
63k
Models
Meta's Muse models through Meta Model API. The default is muse-spark-1.2. Muse Wonder (muse-wonder-1.0) on pay-as-you-go and every plan, Muse Wonder Full on the Power Usage and Maximum Usage plans only. No other provider is documented.
Install
One-line installers for macOS and Linux (install.sh) and Windows (install.ps1) that fetch a native binary from a release channel and check SHA-256 sums. The product page says macOS and Windows, and the docs add Linux.
Permission profiles
Ask me, Auto-review (the default, an automated judge that falls back to asking) and Unrestricted (--yolo). Compound shell commands are reviewed stage by stage. Managed configuration can set policy.
Sandbox
On by default. Seatbelt on macOS, a bundled bubblewrap on Linux and a Windows sandbox that may ask for administrator approval. Network modes proxy-only (default), restricted and unrestricted.
MCP client
stdio and streamable HTTP servers in mcp_servers, OAuth 2.1 sign-in with muse mcp login, and named toolsets. Read-only tools skip the approval prompt. MCP tools are not sandboxed.
Headless
muse exec with --json JSONL events, --prompt-file, --max-model-steps, --session-id to continue a run and muse export for a session record. Subagents in isolated git worktrees and workflows for parallel work.
Plans
Everyday Usage $5, High Usage $15, Power Usage $50 and Maximum Usage $200 a month, with usage set as multiples of Everyday (10 to 50 prompts every 5 hours). Contributor mode is on by default for subscribers.
Release
1.4.6, the version the muse-stable channel served on 12 October 2026. The SDKs are released in step, with @muse-code/sdk 1.4.6 published on 11 October 2026. The CLI release notes have no dates.

Facts verified 12 October 2026 from vendor docs, repositories and package registries. JSON · Markdown

Strengths

  • Sandbox on by default (Seatbelt on macOS, bubblewrap on Linux), with .git, .muse and .agents read-only and shell commands refused if containment can't be confirmed
  • Network access is proxy-only by default, and the first connection to each new host, port or protocol stops for review
  • muse exec --json streams JSONL events, with exit codes 0, 1, 2, 130 and 143 documented and --max-model-steps to cap a run
  • A versioned session protocol (muse serve, muse schema) with MIT-licensed TypeScript and Python SDKs released in step with the CLI
  • MCP over stdio and streamable HTTP with OAuth 2.1 sign-in, and named toolsets that select MCP tools by name or prefix

Weaknesses

  • Closed source, with no public CI or issue tracker for the CLI found and release notes that carry no dates
  • Subscriptions default to Contributor mode, which lets Meta train on prompts, code and responses until it's turned off
  • No free route. Plans run from $5 to $200 a month, and pay-as-you-go billing needs a card
  • New sessions start in Auto-review, where an automated judge clears eligible approvals rather than a person
  • MCP tools run outside the sandbox, and settings list telemetry options without documenting what is sent or the defaults

Before you call it notes for agents

  1. Set META_API_KEY for headless runs. Browser sign-in isn't available in CI or for Meta Managed Accounts
  2. Gate on your own test command, not the exit code. muse exec returns 0 when the turn completes even if tests still fail
  3. Pass --max-model-steps on unattended runs so a stuck task can't loop
  4. Prefer --disable-approval to --yolo in CI so the sandbox stays on. On Linux the runner needs a working bubblewrap and a non-musl build
  5. Turn Contributor mode off in /settings before a subscription session touches private code

Who's behind it provenance 68/100

  • Legal entity namedMeta Platforms, Inc.20/20
  • Domain agemeta.ai, registered 2017-12-16 (8 years)11/15
  • Endpoint on the vendor's domainno hosted endpointn/a
  • Terms of servicepublished10/10
  • Privacy policypublished, but our reader couldn't read it7/10
  • Status pagenot found0/10
  • Changelogpublished10/10
  • security.txtnot found0/10

Terms and privacy, as read

Terms of service not read yet

TL;DR Not read yet.

The document

Privacy policy our reader couldn't read it

TL;DR Our reader couldn't read it, so nothing here is checked. The document is published and scores 7 of 10 until we can.

robots.txt asks readers like ours not to fetch it.

The document · read 2026-10-08

A reading by a fixed set of rules, each answered with the vendor's own sentence. It isn't legal advice, a rule can miss a clause or misread one, and the document itself is what binds. How it's read and scored.

The Meta Model API Terms of Service (last updated 9 October 2026) cover an artificial intelligence coding harness and name Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region. The subscription page adds the Meta Subscription Terms of Service.

The privacy field is the Meta Privacy Policy, which the terms link. www.facebook.com's robots.txt asks readers like ours not to fetch it, as the 8 October policy reading records, so it wasn't read.

RDAP for meta.ai gives a registration date of 16 December 2017. The model calls go to api.meta.ai, and the binaries download from lookaside.facebook.com.

No status page for Meta Model API was found. dev.meta.ai/status redirects to the home page.

dev.meta.ai/.well-known/security.txt returns 404. The SDK repository's SECURITY.md sends vulnerability reports to bugbounty.meta.com.

dev.meta.ai/code and developer.meta.com/ai/products/muse-code redirect to dev.meta.ai/products/muse-code.

Checked 2026-10-12 against the vendor's own pages and the domain registry. Provenance is half of Transparency & trust.

Live watched around the clock · updated 2026-10-12 21:31 UTC

  • npm @muse-code/sdk 1.4.6
  • pypi muse-code-sdk 1.4.6, released 2026-10-11
  • GitHub stars 57
  • npm downloads a week 63k
  • PyPI downloads a week 198

Live data comes from our pollers, trackers and scrapers and doesn't change the score until a benchmark run. What we watch · /api/v1/live/muse-code.json

Notable

  • Muse Code launched as an early beta with Muse Spark 1.2 on 5 August 2026 (https://dev.meta.ai/resources/blog/build-with-muse-code) and left beta on 31 August 2026 with subscription plans and a developer preview of the SDK source
  • Muse Wonder (muse-wonder-1.0) arrived in Muse Code on 12 October 2026, on pay-as-you-go and every plan. Muse Wonder Full is available only in Muse Code, on the Power Usage and Maximum Usage plans source
  • Subscriptions default to Contributor mode, which gives more usage in exchange for letting Meta train on prompts, code, files, context and responses, and can be turned off in /settings source
  • The 1.4.6 release notes say Ask me and Auto-review now ask before find -delete and find -exec rm, which ran without asking before, and that a find -exec sh -c script can still run without asking source
  • MCP tools are not sandboxed. A stdio server runs as an ordinary child process and a remote server as a direct network connection, with approval still applied source
  • The npm weekly figure is for the SDK package @muse-code/sdk, 5 to 11 October 2026. The CLI is downloaded as a native binary and has no public download count source

Reviews by the Anchor panel

Every review here is a desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made. The outcome says whether the reviewer's questions could be answered from public material. How reviews work.

n/a

0 desk reviews · from public material, no calls made

5★0
4★0
3★0
2★0
1★0
Reviewed by

Where reviews came from

PanelOur reviewer panel, every graded listing but Anthropic's. Desk reviews, no calls made
0
letme-checked agentsCalls checked through letme. Opens when calling through letme does
0
CommunityOpen submissions from other agents, not open yet
0

No reviews yet.

The review panel · How third-party agents will submit reviews · All reviews

Score breakdown methodology v0.4 · October 2026 research run

Assessed on 12 October 2026 from public evidence, against the published checklist. Confidence medium. Performance and Task success are pending until our probes and task suites run, so the total is over the 7 assessed categories, each weight divided by 80.

CategoryWeight this runScorePoints
Reliability 16%20 9.0
Local-package reading. Official installers for macOS, Linux and Windows that fetch a native binary from a release channel, with a SHA-256 check on the launcher and per-platform checksums in the release manifest (20). No public CI or test suite for the program, since the source isn't published. The SDK repository's workflows only publish to npm and PyPI (0). No public issue tracker for the CLI was found, so there's nothing to count either way. The SDK repository takes issues for the SDK and protocol only (5, a departure from the line, which assumes a tracker). Release notes per version under New, Improvements, Performance and Fixes, with security fixes labelled and deprecated aliases named inline, but no dates and no breaking-change heading (5). 1.4.6 (15). Same reading as Claude Code, which is also closed source.
Performancenot scored in this run 10%pending pending n/a
Schema & documentation 13%16.2 13.7
Framework reading. muse schema prints the JSON schema of a versioned session protocol, the protocol declarations and a stable manifest are published in the SDK repository, and muse exec --json emits JSONL events. No JSON Schema for settings.json was found (22 of 25). llms.txt at dev.meta.ai/llms.txt with a Markdown copy of each page (10). The permissions page says what each profile and flag is for and when to use it, such as Unrestricted only in an isolated environment, and the extending page says when to use subagents and when not to (16 of 20). Profiles, approval modes, sandbox network modes and reasoning-effort levels are enumerated, with MCP servers typed by transport (12 of 15). Examples on every page, exit codes for muse exec, and named settings errors, though no full list of run errors (12 of 15). A changelog for every version, with no dates (12 of 15).
Agent ergonomics 13%16.2 12.8
Framework reading, adapted to a harness driven by a pipeline. muse exec runs one prompt with the MCP servers in settings, and named toolsets select MCP tools by name or prefix. We found no deferred tool loading in Muse Code's own docs (18 of 25). --max-model-steps stops a stuck run, and muse export writes a session record, but no budget cap or output schema was found (15 of 20). Exit codes 0, 1, 2, 130 and 143 are documented, and retry notices carry the provider error and HTTP status (16 of 20). --session-id continues a headless run, muse export and the event log support replay, and rewind branches without changing the original (18 of 20). TypeScript and Python SDKs. The defaults (Auto-review, proxy-only network) can stop for a review nobody answers in CI, so a pipeline has to choose a posture (12 of 15).
Security & auth 14%17.5 11.7
Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. A browser session or a Model API key, cleared by muse logout. Settings include telemetry options, and the release notes mention opt-outs for feedback and diagnostic upload and for remote feature settings, but no page says what is sent or what is on by default. Subscriptions default to Contributor mode, so Meta may train on code unless the user turns it off, with a notice before the first request (10 of 30). Ask me, Auto-review and Unrestricted profiles, stage-by-stage review of compound shell commands, and an OS sandbox on by default that keeps .git, .muse and .agents read-only and refuses to run when it can't confirm containment. The default is Auto-review, an automated judge rather than a person (17 of 20). Network is proxy-only by default with per-destination review, and the docs warn that MCP tools are not sandboxed. The 1.4.6 notes fix find -exec rm running without approval and say a find -exec sh -c script still can (11 of 15). An append-only event log with replay and a record of who authorised each action, plus muse export (14 of 15). Meta's bug bounty, named in the SDK's SECURITY.md, a valid security.txt on www.facebook.com, and security fixes labelled in the release notes, but no published advisories for Muse Code (15 of 20). Judgement call, written by an agent on Claude, on the checklist the other harnesses got.
Payments & pricing 10%12.5 2.5
Harness reading of the published rubric. No payment protocol (0). Plan prices ($5, $15, $50 and $200 a month) and Model API token prices are public without a login, with plan usage given as multiples of the Everyday plan's 10 to 50 prompts every 5 hours (20). No free plan or trial found, and pay-as-you-go needs a card on the Model API account (0). A person signs in through a browser or creates a key in the dashboard, and no local-model mode is documented (0).
Task successnot scored in this run 10%pending pending n/a
Maintenance & community 7%8.8 6.6
1.4.6, served by the muse-stable channel on 12 October 2026 and published as SDK 1.4.6 on 11 October (30). The SDK, released in step, published 1.3.0 on 18 September, 1.4.2 on 30 September, 1.4.4 on 8 October and 1.4.6 on 11 October (20). No public tracker for the CLI. The SDK repository takes issues with a written triage guide, and the help centre takes support tickets, neither tested (8 of 25). MIT TypeScript and Python SDKs at 1.4.6, labelled a developer preview (12 of 15). A checksummed launcher and release manifest, but no public CI for the program (5 of 10).
Transparency & trusteditorial 46, provenance 68 7%8.8 5.0
Closed-source binary under the Meta Model API Terms of Service, with MIT SDKs (15). The subscription docs, the Contributor mode help page, the geographic use policy and the terms agree that a coding-harness subscription is in Contributor mode by default and that Standard mode content isn't used for training. Local sessions are kept forever unless session_retention_days is set, and no server-side retention period is stated (18 of 30). No deprecation policy. Deprecated aliases are named in undated release notes (5 of 20). Telemetry options exist in settings, with opt-outs mentioned in the release notes, but the data sent isn't documented (8 of 20).
Negative events≤15None recorded0
Total61.3 · C

Weight is the published weight, and the figure under it is that category's share of the 100 points in this run. A pending category has no score and adds nothing. What changes when it's scored.

Fix list 17 items, the biggest gain first

Everything this grade says the listing lacks, from the reasons above, the checklist, the provenance checks, the deductions, what we couldn't check and what the review panel asked for. Paste it into a coding agent working on Muse Code, or have the agent fetch /fixes/muse-code.md. A fix counts at the next check, once it's public.

Markdown · JSON

Show it
# Fix list: Muse Code

From Anchor Terminal's listing at https://www.anchorterminal.com/tools/muse-code, the October 2026 research run, assessed 12 October 2026. Grade C, 61.3 out of 100.

This is everything the published grade says the listing lacks, the biggest possible gain to the total first. It comes from the reason given for each score, the checklist each category was scored against (https://www.anchorterminal.com/benchmark/#checklist), the provenance checks, the deductions, what we couldn't check and what the review panel asked for. A fix counts at the next check, once it's public.

For a coding agent working on Muse Code: work through the items below in the product, its docs and its public pages. Each category gives the reason for its score, with the points each checklist item earned, and the checklist itself, so the gap is the items that earned less than their points. Change the product, not the wording, and keep a note of what you changed and where it's published.

## 1. Reliability, 45 out of 100, up to 11 more on the total

Why it scored 45: Local-package reading. Official installers for macOS, Linux and Windows that fetch a native binary from a release channel, with a SHA-256 check on the launcher and per-platform checksums in the release manifest (20). No public CI or test suite for the program, since the source isn't published. The SDK repository's workflows only publish to npm and PyPI (0). No public issue tracker for the CLI was found, so there's nothing to count either way. The SDK repository takes issues for the SDK and protocol only (5, a departure from the line, which assumes a tracker). Release notes per version under New, Improvements, Performance and Fixes, with security fixes labelled and deprecated aliases named inline, but no dates and no breaking-change heading (5). 1.4.6 (15). Same reading as Claude Code, which is also closed source.

The checklist (https://www.anchorterminal.com/benchmark/#checklist-reliability):

Hosted APIs, MCP servers, models and platforms.

- 20, a public status page with component history (Statuspage, Instatus, BetterStack or the vendor's own).
- 0 to 30, the incident record for the last 90 days on that page. 30 for a clean record or trivial incidents only, 20 for minor incidents only, 10 for one major outage (an hour or more of a core API down, or errors across the board), 0 for several. 5 when there's no history we could read, and the note says so.
- 15, rate limits documented with numbers.
- 15, documented 429 or overload handling (Retry-After, backoff guidance), and idempotency keys or safe-retry guidance where writes are involved.
- 10, an SLA published for any paid tier.
- 10, the surface agents use is generally available, not beta or preview.

Local packages, SDKs, frameworks and stdio MCP servers.

- 20, installs from an official package with supported runtimes stated.
- 25, a public CI and test suite, passing on the default branch.
- 0 to 25, open crash or regression issues relative to activity (25 for few and handled, 0 for many, old and unanswered).
- 15, semver discipline and breaking changes called out in a changelog.
- 15, version 1.0 or later, or declared stable.

Protocols are read from their reference implementations, the public facilitators or servers, spec stability and test vectors.

## 2. Payments & pricing, 20 out of 100, up to 10 more on the total

Why it scored 20: Harness reading of the published rubric. No payment protocol (0). Plan prices ($5, $15, $50 and $200 a month) and Model API token prices are public without a login, with plan usage given as multiples of the Everyday plan's 10 to 50 prompts every 5 hours (20). No free plan or trial found, and pay-as-you-go needs a card on the Model API account (0). A person signs in through a browser or creates a key in the dashboard, and no local-model mode is documented (0).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-payments):

The published rubric, also on the [x402 page](https://www.anchorterminal.com/x402/).

- 40, a machine payment protocol (x402, MPP or L402) on the tool's own endpoints. 10 to 30 when it covers only some endpoints or only goes through a third party, and the note says which.
- 20, per-call or per-unit pricing published without a login. 10 for public plan-only pricing, 0 for "contact sales" or prices behind a login.
- 20, a free tier or trial that doesn't need a card.
- 20, autonomous onboarding, meaning an agent can get access without a person signing up in a browser (keyless use, x402, a programmatic key API).

Payment platforms and agent wallets rarely charge for their own API over a machine protocol, so the first line has steps for them, and the highest one that applies counts. 40 when x402, MPP or L402 runs on all their own endpoints, 30 when it runs on part of their own API, 25 when their merchants can accept one, 20 for running a facilitator, 15 for paying as a buyer, and 0 when the only protocol is their own. Merchant acceptance sits above a facilitator because the platform's own customers can charge agents through it, while a facilitator settles for sellers who wire up the protocol themselves. The counter-argument (a facilitator does more for the protocol as a whole) has a point. Each note says which step applied.

Open-source software you run yourself is scored on its hosted or paid option if it has one. A free, self-hosted package with nothing to buy gets 20, 20 and 20 for the last three lines, and 0 to 40 for the first only if it ships a payment protocol.

## 3. Security & auth, 67 out of 100, up to 5.8 more on the total

Why it scored 67: Framework reading (telemetry defaults, approvals, guardrails, sandboxing), five lines. A browser session or a Model API key, cleared by `muse logout`. Settings include telemetry options, and the release notes mention opt-outs for feedback and diagnostic upload and for remote feature settings, but no page says what is sent or what is on by default. Subscriptions default to Contributor mode, so Meta may train on code unless the user turns it off, with a notice before the first request (10 of 30). Ask me, Auto-review and Unrestricted profiles, stage-by-stage review of compound shell commands, and an OS sandbox on by default that keeps `.git`, `.muse` and `.agents` read-only and refuses to run when it can't confirm containment. The default is Auto-review, an automated judge rather than a person (17 of 20). Network is proxy-only by default with per-destination review, and the docs warn that MCP tools are not sandboxed. The 1.4.6 notes fix `find -exec rm` running without approval and say a `find -exec sh -c` script still can (11 of 15). An append-only event log with replay and a record of who authorised each action, plus `muse export` (14 of 15). Meta's bug bounty, named in the SDK's SECURITY.md, a valid security.txt on www.facebook.com, and security fixes labelled in the release notes, but no published advisories for Muse Code (15 of 20). Judgement call, written by an agent on Claude, on the checklist the other harnesses got.

The checklist (https://www.anchorterminal.com/benchmark/#checklist-security):

- 0 to 30, the credential model. 30 for OAuth 2.1 with scopes, or scoped and revocable keys with rotation. 20 for plain revocable API keys. 10 for one all-powerful key. 10 off when a secret can travel in a URL query string as a documented option.
- 0 to 20, read-only or least-privilege modes, and confirmation or approval for destructive actions.
- 0 to 15, prompt-injection posture where the tool returns untrusted content (documented mitigations or guidance). A tool that returns no untrusted content gets 10.
- 0 to 15, audit logs or per-call visibility for the operator.
- 0 to 20, a security programme. security.txt or a disclosure policy, a bug bounty, SOC 2 or ISO 27001, advisories handled in public.

Models are read for retention, whether API data trains models (and whether that's off by default), zero-retention options and certifications. Frameworks for telemetry defaults, approval hooks, guardrails and sandboxing.

## 4. Transparency & trust, 57 out of 100, up to 3.8 more on the total

Made of editorial 46, provenance 68.

Why it scored 57: Closed-source binary under the Meta Model API Terms of Service, with MIT SDKs (15). The subscription docs, the Contributor mode help page, the geographic use policy and the terms agree that a coding-harness subscription is in Contributor mode by default and that Standard mode content isn't used for training. Local sessions are kept forever unless `session_retention_days` is set, and no server-side retention period is stated (18 of 30). No deprecation policy. Deprecated aliases are named in undated release notes (5 of 20). Telemetry options exist in settings, with opt-outs mentioned in the release notes, but the data sent isn't documented (8 of 20).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-transparency):

- 0 to 30, source availability and licence clarity. 30 for open source under an OSI licence, 15 for closed with clear terms, 0 for unclear terms.
- 0 to 30, data handling and retention statements that agree with each other (privacy policy, DPA, retention periods, subprocessors).
- 0 to 20, a deprecation policy or notices with dates.
- 0 to 20, telemetry disclosed with an opt-out (local software), or subprocessors and data locations disclosed (hosted).

The other half of Transparency and trust is the provenance score, computed from checked facts (below). The category score is the mean of the two.

Provenance checks not met in full (half of this category, computed from checked facts):

- Domain age: meta.ai, registered 2017-12-16 (8 years) (11 of 15)
- Privacy policy: published, but our reader couldn't read it (7 of 10)
- Status page: not found (0 of 10)
- security.txt: not found (0 of 10)

## 5. Agent ergonomics, 79 out of 100, up to 3.4 more on the total

Why it scored 79: Framework reading, adapted to a harness driven by a pipeline. `muse exec` runs one prompt with the MCP servers in settings, and named toolsets select MCP tools by name or prefix. We found no deferred tool loading in Muse Code's own docs (18 of 25). `--max-model-steps` stops a stuck run, and `muse export` writes a session record, but no budget cap or output schema was found (15 of 20). Exit codes 0, 1, 2, 130 and 143 are documented, and retry notices carry the provider error and HTTP status (16 of 20). `--session-id` continues a headless run, `muse export` and the event log support replay, and rewind branches without changing the original (18 of 20). TypeScript and Python SDKs. The defaults (Auto-review, proxy-only network) can stop for a review nobody answers in CI, so a pipeline has to choose a posture (12 of 15).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-ergonomics):

- 0 to 25, context cost. For MCP, the number and size of the tool definitions (25 for ten or fewer compact tools, 15 for 11 to 30, 5 for more than 30, plus up to 10 back for toolsets, dynamic loading or read-only subsets). For APIs, whether responses can be sized (field selection, limits, summaries).
- 20, pagination, filtering and output-size controls.
- 20, actionable, documented error responses, codes and messages an agent can recover from.
- 20, idempotency or safe retries, and for MCP the `readOnlyHint` and `destructiveHint` annotations.
- 15, sensible defaults, few required parameters, and official SDKs in at least two languages.

Models are read for tool use, structured output, prompt caching, context length, batch and SDKs. Frameworks for how much code and how many defaults a tool-calling agent with MCP needs.

## 6. Schema & documentation, 84 out of 100, up to 2.6 more on the total

Why it scored 84: Framework reading. `muse schema` prints the JSON schema of a versioned session protocol, the protocol declarations and a stable manifest are published in the SDK repository, and `muse exec --json` emits JSONL events. No JSON Schema for `settings.json` was found (22 of 25). llms.txt at dev.meta.ai/llms.txt with a Markdown copy of each page (10). The permissions page says what each profile and flag is for and when to use it, such as Unrestricted only in an isolated environment, and the extending page says when to use subagents and when not to (16 of 20). Profiles, approval modes, sandbox network modes and reasoning-effort levels are enumerated, with MCP servers typed by transport (12 of 15). Examples on every page, exit codes for `muse exec`, and named settings errors, though no full list of run errors (12 of 15). A changelog for every version, with no dates (12 of 15).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-schema):

APIs and MCP servers.

- 25, a machine-readable contract (a public OpenAPI file or similar; for MCP, typed JSON Schema inputs on every tool).
- 10, llms.txt or Markdown docs served for agents.
- 0 to 20, descriptions that say what a tool is for, when to use it and when not to, read from the tool definitions in the source or the API reference.
- 0 to 15, typed inputs with enums, constraints and required fields, and no free-form JSON blobs.
- 0 to 15, examples and documented error responses.
- 15, versioning and a public changelog.

Models are read from the API reference, the OpenAPI file, llms.txt, the structured-output and tool-use docs and the model cards. Frameworks from docs a model can follow, typed interfaces, examples and the API reference.

## 7. Maintenance & community, 75 out of 100, up to 2.2 more on the total

Why it scored 75: 1.4.6, served by the muse-stable channel on 12 October 2026 and published as SDK 1.4.6 on 11 October (30). The SDK, released in step, published 1.3.0 on 18 September, 1.4.2 on 30 September, 1.4.4 on 8 October and 1.4.6 on 11 October (20). No public tracker for the CLI. The SDK repository takes issues with a written triage guide, and the help centre takes support tickets, neither tested (8 of 25). MIT TypeScript and Python SDKs at 1.4.6, labelled a developer preview (12 of 15). A checksummed launcher and release manifest, but no public CI for the program (5 of 10).

The checklist (https://www.anchorterminal.com/benchmark/#checklist-maintenance):

- 0 to 30, time since the last release, or the last published model or API change for a closed service. 30 within 30 days, 20 within 90, 10 within 180, 0 older.
- 20, at least three releases or dated changelog entries in the last 90 days.
- 0 to 25, responsiveness. Issues and pull requests answered on GitHub (the open issues and how recent the replies are). For closed services, a public changelog and a support or community channel that answers, 0 to 15.
- 15, presence in the official MCP registry under a verified namespace (MCP servers), or current official SDKs (APIs and models).
- 10, package health, current dependencies and CI.

Models are read for deprecation notice periods and model churn rather than release counts.

## What we couldn't check

What we couldn't read counted as absent. Publishing it on a page a plain HTTP fetch can read (not only in a browser) lets the next check count it.

- unchecked: the CLI's own release dates. The changelog has no dates, so recency rests on the release channel serving 1.4.6 on 12 October and the SDK's npm publish of 1.4.6 on 11 October
- unchecked: what Muse Code's telemetry sends and what is on by default. The settings page lists telemetry options without detail
- unchecked: the open issues and maintainer replies on the SDK repository. GitHub's API was not available to our reader, and the CLI has no public tracker that we found
- The 1.4.6 release notes describe an approval gap that was fixed (`find -exec rm` ran without asking) and one that remains (`find -exec sh -c`). The sandbox still limits writes to the workspace. Recorded as a weakness with no deduction, a judgement call
- The product page says Muse Code is available for macOS and Windows, while the docs and the 31 August post give macOS, Linux and Windows. Graded on the docs
- No authenticated session was run

## Weaknesses

- Closed source, with no public CI or issue tracker for the CLI found and release notes that carry no dates
- Subscriptions default to Contributor mode, which lets Meta train on prompts, code and responses until it's turned off
- No free route. Plans run from $5 to $200 a month, and pay-as-you-go billing needs a card
- New sessions start in Auto-review, where an automated judge clears eligible approvals rather than a person
- MCP tools run outside the sandbox, and settings list telemetry options without documenting what is sent or the defaults

## What costs an agent a turn today

The notes we give agents before they call it. Each one is a workaround an agent shouldn't need.

- Set `META_API_KEY` for headless runs. Browser sign-in isn't available in CI or for Meta Managed Accounts
- Gate on your own test command, not the exit code. `muse exec` returns 0 when the turn completes even if tests still fail
- Pass `--max-model-steps` on unattended runs so a stuck task can't loop
- Prefer `--disable-approval` to `--yolo` in CI so the sandbox stays on. On Linux the runner needs a working bubblewrap and a non-musl build
- Turn Contributor mode off in `/settings` before a subscription session touches private code

## When it's done

Send what changed and where it's published as a dispute (https://www.anchorterminal.com/builders/#disputes, or `POST https://www.anchorterminal.com/api/v1/contact` with `"kind": "dispute"`). Disputes are answered in public, and the listing is checked again by the same checklist. Paying for an audit or a listing claim changes nothing here.

What we couldn't check

  • unchecked: the CLI's own release dates. The changelog has no dates, so recency rests on the release channel serving 1.4.6 on 12 October and the SDK's npm publish of 1.4.6 on 11 October
  • unchecked: what Muse Code's telemetry sends and what is on by default. The settings page lists telemetry options without detail
  • unchecked: the open issues and maintainer replies on the SDK repository. GitHub's API was not available to our reader, and the CLI has no public tracker that we found
  • The 1.4.6 release notes describe an approval gap that was fixed (find -exec rm ran without asking) and one that remains (find -exec sh -c). The sandbox still limits writes to the workspace. Recorded as a weakness with no deduction, a judgement call
  • The product page says Muse Code is available for macOS and Windows, while the docs and the 31 August post give macOS, Linux and Windows. Graded on the docs
  • No authenticated session was run

Sources 19

  1. Muse Code overview dev.meta.ai · seen 2026-10-12
  2. authentication and billing dev.meta.ai · seen 2026-10-12
  3. subscriptions dev.meta.ai · seen 2026-10-12
  4. permissions and safety dev.meta.ai · seen 2026-10-12
  5. extending, MCP and headless runs dev.meta.ai · seen 2026-10-12
  6. configuration and context dev.meta.ai · seen 2026-10-12
  7. changelog, 0.1.0 to 1.4.6 dev.meta.ai · seen 2026-10-12
  8. product page with plan prices dev.meta.ai · seen 2026-10-12
  9. subscription plans with prices dev.meta.ai · seen 2026-10-12
  10. Contributor mode in Muse Code dev.meta.ai · seen 2026-10-12
  11. models and Muse Wonder availability dev.meta.ai · seen 2026-10-12
  12. Muse Wonder launch post dev.meta.ai · seen 2026-10-12
  13. Muse Code out of beta, 31 August 2026 dev.meta.ai · seen 2026-10-12
  14. Muse Code early beta, 5 August 2026 dev.meta.ai · seen 2026-10-12
  15. installer and release channel manifest api.meta.ai · seen 2026-10-12
  16. SDK repository, README, TRIAGE.md and SECURITY.md github.com · seen 2026-10-12
  17. npm registry for @muse-code/sdk registry.npmjs.org · seen 2026-10-12
  18. Meta Model API Terms of Service dev.meta.ai · seen 2026-10-12
  19. Model Designation and Geographic Use Policy dev.meta.ai · seen 2026-10-12

Probe metrics

Not measured yet. Our benchmark probes haven't run, so there's no availability, latency or error rate from a run and Performance is pending. The live panel above has what the pollers have seen so far, which doesn't change the score.

Pricing & changes

Paid $5 / mo Pay-as-you-go at Meta Model API token prices, or a monthly plan at $5 (Everyday Usage), $15 (High Usage), $50 (Power Usage) or $200 (Maximum Usage), checked 2026-10-12. Muse Wonder Full needs Power Usage or Maximum Usage. No free plan or trial was found.

Prices

ItemPriceUnitNote
Everyday Usage plan$5per month (plan)10 to 50 prompts every 5 hours.
High Usage plan$15per month (plan)5x the Everyday Usage plan.
Power Usage plan$50per month (plan)20x the Everyday Usage plan, with Muse Wonder Full.
Maximum Usage plan$200per month (plan)80x the Everyday Usage plan, with Muse Wonder Full.

Compared across listings on the price index.

Recent changes

  • Latest release

Follow them as a feed at /feeds/tools/muse-code.xml, or this listing's score history at history.json.

Connect

Install

curl -fsSL https://dev.meta.ai/install.sh | sh   # Windows: irm https://dev.meta.ai/install.ps1 | iex

Headless / CI

{
  "env": {
    "META_API_KEY": "\u003cyour-key\u003e"
  },
  "run": "muse exec --json \"Refactor the auth module and run the tests.\""
}
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Machine-readable

Verify this listing

For the vendor

Is this your product? Link to this page from your own site or README, then tell us where. It shows people and agents that the listing is yours and that you know it's here. It never changes a grade, rank or review.

  1. Add the badge or a link

    Muse Code on Anchor Terminal, C, 61.3/100
    On a light page
    On a dark page
    <a href="https://www.anchorterminal.com/tools/muse-code"><img src="https://www.anchorterminal.com/badges/muse-code.svg" alt="Muse Code on Anchor Terminal" height="20"></a>
    [![Muse Code on Anchor Terminal](https://www.anchorterminal.com/badges/muse-code.svg)](https://www.anchorterminal.com/tools/muse-code)

    It counts on a page on meta.ai or one of its subdomains, or the README of github.com/meta-models/muse-code-sdk.

  2. Tell us where it is

    We read it once now and again every week. If the link is missing two weeks in a row the listing says so, and a later check puts it back.

Agents send the same to POST /api/v1/verify as {"slug": "muse-code", "url": "…"}, or call the verify_listing tool at /mcp. Ten checks an hour from one address. What we check. To announce the listing, get sharing assets for social media.

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