How do I install @smartmemory/compose?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does @smartmemory/compose need an API key?

No required environment variable is listed on this record.

What transport does @smartmemory/compose use?

@smartmemory/compose runs locally over stdio.

When was @smartmemory/compose last checked?

Last checked 2026-11-10. MCP stdio server for @smartmemory/compose: typed feature management tools (roadmap, changelog, artifact linking, and more). Requires a compose-initialized project.

@smartmemory/compose MCP 伺服器

Compose

Structured AI dev pipeline: goal to shipped code, with gates that hold

Your agent writes the code. Compose makes it prove it.

Describe what you want. Compose decomposes it, forces the design decisions before any code is written, hands each step to the right agent, and refuses to advance until that step proves it is done. What comes back is a feature folder with the design, the blueprint, the plan, the code, the tests, and the full review trail. Auditable end to end.

Compose Cockpit Shell

The problem

An agent finishes, reports done, and the suite is green. Weeks later you find the feature. It exists, it has tests, and nothing calls it. The tests exercise a path that real data never enters.

Nobody lied. The agent did what it was asked, the tests assert what they assert, and no step in between ever had to prove the thing was wired to anything. That gap does not show up in a diff review. It shows up in production, or it never shows up at all, which is worse.

Compose sits above Claude Code, Codex, and Devin rather than in place of them. It decides what the next step is, hands it to whichever agent should do it, and will not advance until the step proves it finished.

Who it's for

Solo builders and small teams shipping more code each week than they can personally review, who need something other than trust to decide when a feature is really done
Tech leads reviewing agent output who keep finding work that passes its own tests and is wired to nothing
Anyone running more than one agent (Claude for implementation, Codex for review) who wants the same standard applied no matter which model did the work
Developers who lose the thread at a session boundary and want the plan, the decisions, and the open questions to outlive the context window instead of living in chat scrollback
Maintainers whose roadmap has drifted from reality and want status derived from what actually shipped rather than from what someone remembered to update
Teams who have to explain a decision months later, what was chosen, what was rejected and why, and cannot reconstruct any of it from a diff

Why Compose

	Prompting the agent directly	A plan.md or TODO list	Compose
Definition of done	Whatever the agent says	A checkbox someone ticks	Postconditions checked before the step can pass
Design decisions	In the chat, then gone	Sometimes written down	Recorded artifacts, gated before any code
Survives a session boundary	No, only scrollback	The text, not the reasoning	Feature folder: design, blueprint, plan, review trail
Review	Whenever you remember	Manual	Enforced at every gate, and runnable on a different model than the one that wrote the code
Catches wired-to-nothing code	No	No	Implementation review keyed to wiring, not only to tests
Roadmap status	Manual	Manual, and it drifts	Generated from what actually shipped
Recovery mid-build	Start over	Re-read and guess	Resume from recorded state

How it holds the line

Gates everywhere. Every phase transition (design, plan, ship) is approve, revise, or kill. Human or Codex review at any point.
Stratum-backed. Pipelines are declarative .stratum.yaml specs with typed contracts, ensure postconditions, and retry/on_fail routing. Specs are editable.
Multi-agent. Claude (via the Anthropic Agent SDK) Codex (via the OpenAI CLI), and Devin (via Stratum on macOS) plug in through a uniform connector interface. Reviews can run on a different model than implementation.

30-second example

compose new "REST API for managing team todo lists"
  -> questionnaire (interactive)
  -> research (claude) -> brainstorm (claude)
  -> [gate] approve / revise / kill
  -> roadmap (claude) -> [gate] -> scaffold (claude)
  -> done: feature folders + ROADMAP.md ready

compose build TODO-1
  -> design (claude) -> [gate]
  -> blueprint (claude) -> verification (claude)
  -> plan (claude) -> [gate]
  -> decompose + parallel execute (worktree isolation)
  -> claude review lenses + codex review + coverage sweep
  -> docs + ship -> [gate]
  -> done: feature implemented, reviewed, tested, documented

Starting from a fuzzy goal instead of a known feature? Use the planning lifecycle:

compose plan "a tool that summarizes my team's standups"
  -> frame + research + ideate (ideas go to the ideabox) -> [gate]
  -> converge + estimate -> writes build-ready feature.json + design.md -> [gate]
  -> handoff: each feature ready for `compose build <CODE>`

compose build then picks up a plan-authored feature and ratifies its design rather than rewriting it.

Bundled team presets: feature (parallel implementation), research (parallel exploration), review (parallel review), and fable-astra:

compose build FEAT-1 --team fable-astra

Fable plans independent tasks, Codex workers implement in isolated worktrees, and a fresh read-only Astra reviewer checks the merged result after verification. Fable then requests another implementation or repair wave, declares the work blocked, or approves ship into one base-parent commit. Concurrency is 3; the $150 cost ceiling is overridable with --cost-ceiling-usd. See the loop and limits.

Model routing (shadow)

fable-astra defaults to shadow routing; only plan and execute opt into future learning with route: { learn: true } on their profile entries. Bundled GSD defaults to off. Programmatic runBuild / runGsd callers select route_mode: 'off' or 'shadow'; there is no routing CLI flag.

Shadow retains an immutable start, admissions and issuance journal while keeping static model options and prompts. GSD continuation shares that start across new engine runs; unresolved calls hold before redispatch. Manual overrides replace the fallback; an item's explicit tier still wins. Off preserves legacy input and dispatch identity and makes no routing writes. A participating resume keeps its recorded mode even if the caller requests off.

Custom sidecars use { default: 'claude::critical', route: { learn: true } } and optional _routing: { mode: 'shadow' }. A route-only wrapper projects to the legacy string for hashing; entries with tier_from retain object form, as do existing objects without route. Custom flow inputs must declare route_mode, routing_start, routing_root, routing_plan_intent, and routing_continuation as optional strings (string?), without defaults or model-facing interpolation. Shadow GSD refuses customized ordinary profiles that differ from its bare dispatch (ROUTING_STATIC_DISPATCH_MISMATCH).

Shadow now joins each supported issuance to connector-owned primary and repair calls, preserves pre-reset gate evidence, and records acceptance outcomes in .compose/routing/ledger.jsonl. Late receipts stay with their original run, including across GSD continuation. The append-only ledger retains revisions; readRoutingLedger({ cwd }) returns the latest validated row per record. Unsupported calls retain separate excluded observations; their cost may also appear in a parent row, so reconcile spend by unique paid receipt, not row sums. Missing cost, attribution, acknowledgement or outcome evidence stays explicit and incomplete or censored; it is not a zero-cost success.

Deterministic engine tests do not certify provider execution. Live-fire shadow completion evidence remains outstanding. There is no routing report, calibration prompt or feedback, learned/active selection, trial or exploration implementation yet; the parent feature remains incomplete pending S2/S3.

Quick install

Prerequisites: Node.js 18+. Stratum needs no separate install — @smartmemory/stratum is a dependency, and compose init registers the installed copy's MCP entrypoint automatically (a sibling stratum/ checkout is a development convenience, not a requirement; the python stratum-mcp PyPI package is retired). Codex steps additionally need the OpenAI codex CLI. Full prereqs in docs/install.md.

The package is published to npm as @smartmemory/compose. Pick one install style:

Option A — npm (recommended for users):

npm install -g @smartmemory/compose
compose setup                # install bundled skills, auto-install missing required plugins, register the Stratum MCP server (alias: compose sync)

Option B — git clone (for development):

git clone https://github.com/smartmemory/compose.git && cd compose && npm install
npx @smartmemory/compose setup   # or: node bin/compose.js setup
ln -s "$(pwd)/bin/compose.js" ~/bin/compose && chmod +x ~/bin/compose   # optional: bare `compose` command

Then in your project:

cd /path/to/your/project
compose init                 # writes .compose/, registers MCP, scaffolds ROADMAP, pipeline specs, contracts/vocabulary.yaml
compose new "what you want to build"

Add an isolated feature to an existing project:

compose feature AUTH-1 "JWT middleware with refresh tokens"
compose build AUTH-1

Upgrading

One command — auto-detects whether compose was installed via npm or git clone:

compose update

Versions across the three published packages move together: @smartmemory/compose-mcp carries compose's exact version, and @smartmemory/compose shares a minor with @smartmemory/stratum (patches move independently). So compose 0.4.x pairs with stratum 0.4.x. See .claude/rules/versioning.md.

For npm installs, this runs npm install -g @smartmemory/compose@latest. For git clones, it runs git pull --ff-only && npm install. Either way it then refreshes the global skill and (if invoked from inside a Compose project) re-runs compose init to refresh .mcp.json and pipeline templates. Use compose update --force to bypass the dirty-tree check on git clones.

Check what you're running:

compose --version

Code graph (optional)

When a capable SmartMemory is installed, Compose indexes your code and uses the graph at two points in a build:

Before design (explore_design): a "Possible Prior Art" block lists existing functions and classes that match the feature, with file:line, so the design starts from what already exists.
At the plan gate (plan_gate): a reality check labels every backticked name and path in the plan as existing, new (marked (new)), unmarked-new (absent and not marked), or unknown (a path to a file the indexer skipped, or any absent name when the indexer ran out of its entity budget, so absence proves nothing). An absent symbol while some files were skipped stays unmarked-new, with the note "may be in N skipped file(s)". The result is shown in the gate summary and recorded under .compose/codegraph/reality/.

It is warn-only: it never blocks or decides a gate, and without SmartMemory it prints one warning and does nothing.

Producer. The smartmemory code bundle CLI, version 1.5.26 or newer: pip install 'smartmemory>=1.5.26'. 1.5.25 is broken (it segfaults on TypeScript repos) and is refused, as is anything older or a CLI without code bundle. Compose finds the CLI in this order: "codegraph": { "smartmemory": "…" } in .compose/compose.json (a path, relative to the project, or a command name), then $COMPOSE_CODEGRAPH_SMARTMEMORY, then smartmemory on PATH. Each run's stderr goes to .compose/codegraph/<repo>/producer.log; the console gets one summary line per run.
JS/TS needs the tree-sitter grammars. tree-sitter-typescript and tree-sitter-javascript are not installed with smartmemory 1.5.26; install them into the same environment. Without them JS/TS files are skipped (grammar_unavailable): the reality check reports a path to such a file as unknown, not missing, and an absent symbol as unmarked-new with the note "may be in N skipped file(s)", since it cannot tell which file a symbol would live in.
Repos and timeout. codegraph.repos in .compose/compose.json lists what to index ([{ "name": "compose", "root": "." }, { "name": "stratum", "root": "../stratum/ts" }]; default: the project root). codegraph.timeoutMs bounds one producer run.
Prebuild. A build whose pipeline has plan_gate or explore_design starts the snapshots in the background at build start, so the gate usually hits the cache. Snapshots are cached in .compose/codegraph/ (gitignored). A cached snapshot is reused only while git HEAD is unchanged, every file git status lists under the repo (ignored files, submodules and symlink targets included, .compose/ excluded) is unchanged, and every resolution dependency SmartMemory recorded in the snapshot (source.resolution_dependencies: files, directory listings, globs, inside or outside the repo) still holds. Compose does not copy SmartMemory's read rules, so it errs toward rebuilding: a commit or an edited doc also rebuilds, a run in which a file changed in the last 3 seconds is used but not cached, and installing or removing a Python package beside the smartmemory CLI (a parser grammar, say), or putting node on or off PATH, also rebuilds. Touching a tracked file (or a checkout that rewrites it) rebuilds once, even when git says it is clean.
Disable with COMPOSE_CODEGRAPH=0 or . It is also off under unless .

Jev gate defaults (optional)

At a review gate, Compose suggests a default answer, approve or revise, that you accept by pressing Enter. Without Jev, a keyword rule reads the step's summary and picks that default. It is often wrong: it misses steps that report a problem, and it flags clean summaries that happen to contain words like "error" or "missing".

Jev, from TypeSafe, can pick the default instead. In our test on 51 real gate summaries, Jev matched a strong reference model on 45 of them, against 30 for the keyword rule.

Turn it on by signing up at typesafe.ai and exporting your key: export JEV_API_KEY=.... It is on whenever the key is set. Nothing else to configure.
What you see. The gate's recommendation ends with (default by jev) or (default by keyword), so you always know which one picked it. You still decide. Jev only changes which answer Enter accepts.
What it sends. Only when Stratum provides a step summary, Compose sends that summary text to api.typesafe.ai. Nothing else from your project leaves the machine. If that is not acceptable for a project, turn Jev off there.
Fallback. Each call has a 1.5 second budget. On a timeout, an error or an unexpected answer, Compose uses the keyword rule and prints one warning per kind of failure.
Proxies. Compose honors HTTPS_PROXY / https_proxy and NO_PROXY / no_proxy, and keeps one connection open between gates so later gates answer faster.
Turn it off with COMPOSE_GATE_JEV=0. With no key, Jev stays off silently. Setting COMPOSE_GATE_JEV=1 without a key prints one warning, which helps when you expected it to be on.
Tests. Under node --test or Vitest, Jev stays off even when the key is exported, so a test run never makes paid calls.

Bundled skills

compose setup (alias compose sync) mirrors compose-owned skills into your agent skill dirs (~/.claude/skills/, shared with Codex). Re-run it after a compose update or after editing skills locally — it's idempotent.

/compose — the build/fix lifecycle orchestrator (idea → design → blueprint → implement; or triage → fix → verify).
/context-budget — read-only audit of the session-start loaded surface (agents, skills, rules, MCP tool schemas, CLAUDE.md chain). Estimates per-component token cost, classifies each into always / sometimes / rarely needed, and prints a ranked cut list with estimated reclaim. Never auto-applies cuts.

compose update fetches a newer compose (npm or git) and then runs setup for you; use compose sync when there's no new version to pull — you just changed skills locally.

Tracker providers

Compose can persist feature data to different backends via the tracker block in .compose/compose.json.

Default (local) — zero configuration required:

{ "tracker": { "provider": "local" } }

local is the default when no tracker block is present. All writes go to the filesystem exactly as before — no behavior change.

GitHub provider:

{
  "tracker": {
    "provider": "github",
    "github": {
      "repo": "owner/repo",
      "projectNumber": 42,
      "branch": "main",
      "roadmapPath": "ROADMAP.md",
      "changelogPath": "CHANGELOG.md",
      "cacheTtlSeconds": 300,
      "auth": { "tokenEnv": "GITHUB_TOKEN" }
    }
  }
}

The GitHub provider syncs features to Issues (one per feature), Projects v2 (Status custom field), and Contents API (roadmap + changelog files). Requires a token in the named env var (or gh auth login fallback) with repo and project scopes.

CLI verbs:

compose tracker status   # show provider health + pending op-log + conflict ledger
compose tracker sync     # reconcile op-log against remote provider

See docs/configuration.md for the full tracker config reference.

Backfilling a completion (guarded workspaces)

Sometimes a feature is finished before its lifecycle was ever walked: it shipped before Compose existed, or the guard was switched off at the time. Compose can record that completion with evidence instead of an override token. Call the MCP tool backfill_completion (or POST /api/vision/items/:id/lifecycle/backfill) with the completing commit, a test attestation, a reason, and dated phase occurrences. The gate verifies the evidence, merges the occurrences into the phase history by their real dates, and moves the guard to complete_backfilled. Readers and the UI show which entries were backfilled.

Features that were never registered with the guard need nothing else. Features registered before this release carry an older policy, and the guard will only accept the new one under a signed upgrade descriptor. The signature is the one thing an agent must never be able to produce on its own, so it is the one thing a human confirms:

Once per Mac: run compose guard enrol from a terminal. It installs a root-owned signing key and signer under /Library/Compose/guard/, a sudo rule that always re-authenticates (Touch ID via pam_tid), enrols the public key in stratum's trust root, and verifies the round trip. Two Touch ID prompts, then done.
Every later signature is one Touch ID prompt. When a backfill needs a descriptor that is not yet signed, the gate generates it, asks, verifies, and continues. Nothing else is manual. compose guard sign does the same explicitly and compose guard status shows custody, enrolment, descriptor freshness and whether the signed generations are committed.

Signed descriptors live in .compose/guard-upgrades/<sha256>/ (immutable) with current pointing at the live generation; commit them like any other workspace canon. A backfill refuses with signature_not_approved when the prompt is cancelled or cannot be shown (SSH session, tmux without pam_reattach), and with upgrade_descriptor_unavailable on a machine that has not run enrol. Admins who want the "one approval, one signature" property to hold against their own other sudo use can add Defaults timestamp_timeout=0 to sudoers. Without macOS custody (Linux, CI), compose guard descriptors still writes the unsigned candidate and prints the ssh-keygen -Y sign command for an operator key.

Remote access (mobile PWA from anywhere)

The mobile cockpit at /m can be reached from outside localhost — bring your own tunnel, compose handles auth and pairing:

npm run build                                  # source checkouts only; the npm package already ships dist/
COMPOSE_REMOTE_AUTH=enabled compose start --host=0.0.0.0
compose remote pair --public-host=https://your-tunnel-host   # prints a QR — scan it with your phone
compose remote status                          # bind, devices, tunnel reachability

How it works: binding beyond 127.0.0.1 refuses to start unless COMPOSE_REMOTE_AUTH=enabled is set. In remote mode every request needs a credential — there is deliberately no IP-based trust (tunnel daemons connect from loopback). Phones pair once via QR (5-minute single-use code) and stay authenticated for 30 days through rotating refresh tokens + 15-minute access JWTs; reuse of a rotated refresh token revokes the device. Devices are listable and revocable (compose remote list|revoke, or the cockpit's "Pair mobile" modal). Only port 4001 needs to be exposed — agent-server traffic is proxied through it.

Tunnel layer is yours: Tailscale (serve/funnel), Cloudflare Tunnel, or a reverse proxy on your own VPS+domain all work — the last is the most reliable from restrictive networks (e.g. mainland China, where trycloudflare.com/ngrok domains are commonly blocked; plain TLS on 443 to an unremarkable domain travels best). Pair the device before traveling: pairing needs a live round-trip, while an already-paired phone only needs refresh.

compose remote rotate-secret --yes invalidates every paired device (post-leak hammer).

SmartMemory coupling (opt-in)

Compose can feed its own lifecycle history (feature events, gate decisions, journal entries, artifacts) into SmartMemory for relevance-ranked recall, via a smartmemory block in .compose/compose.json:

{
  "smartmemory": {
    "enabled": true,
    "baseUrl": "http://localhost:9001",
    "apiKeyEnv": "SMARTMEMORY_API_KEY",
    "timeoutMs": 3000
  }
}

smartmemory is absent by default, which means the coupling is fully off: no probes, no network calls, no new log lines. With enabled: true and a reachable SmartMemory service, compose ingests lifecycle events live (fail-open) and the cockpit gains a Recall tab on each feature's detail panel.

compose smartmemory sync                 # idempotent backfill of events, journal, artifacts
compose smartmemory sync --dry-run       # preview counts without ingesting
compose smartmemory sync --feature CODE  # scope the sync to one feature

Maya colleague panel (opt-in, requires the SmartMemory service stack)

With the SmartMemory fluid provider configured, a maya block summons Maya (the SmartMemory assistant) as a colleague inside the cockpit: a slide-over panel where you discuss ideas while Compose computes the memory findings (challenge, conviction, contradictions) and hands them to her as per-turn context. Her replies about a focused idea append to its discussion trail as author: maya.

{
  "maya": {
    "baseUrl": "http://localhost:9005",
    "auth": { "mode": "provision" }
  }
}

auth.mode is provision (a dedicated colleague identity minted lazily against the local smart-memory-service test surface) or static (paste a token in the panel; it is verified against the service before being stored). The colleague never runs degraded: without the SmartMemory provider the panel explains what to connect instead of falling back to plain chat, and capabilities the provider does not declare render as visibly unavailable.

Documentation

Topic-scoped reference:

docs/install.md — prerequisites, compose init, compose setup, ~/bin symlink, compose install compatibility shim.
docs/cli.md — every subcommand (new, import, feature, build, pipeline, init, setup, doctor, start).
docs/cockpit.md — web UI shell: zones, graph view, context panel, ops strip, agent bar, persistence.
docs/pipelines.md — kickoff and build pipelines, sub-flows, contracts, on_fail routing, Stratum IR v0.3.
docs/agents.md — agent connectors, message envelope, Claude/Codex/Opencode connectors, registry.
docs/lifecycle.md — questionnaire, gate system, validation, recovery, progress logging, vision tracker, result normalization.
docs/configuration.md — .compose/*.json, pipeline specs, .mcp.json, ROADMAP.md, environment variables.
docs/mcp.md — MCP server tool list (vision, lifecycle, gates, iteration loops).
docs/examples.md — worked workflows and the full compose pipeline editing reference.
docs/command-flows.md — mermaid flow diagrams for every CLI verb (build, fix, gsd, new, import, feature, roadmap, triage, qa-scope, pipeline, init/setup/update/doctor).

Specs and design

License

Business Source License 1.1, licensed by Regression Analytics LLC. Free for non-production use by anyone, and for production use by organizations whose total annual revenue (with affiliates) was USD 1,000,000 or less in their last fiscal year. Larger organizations need a commercial license: [email protected]. Each version converts to Apache 2.0 four years after its release.

Versions released before 2026-09-25 were distributed under the MIT License and remain available under those terms. See NOTICE.

Explicit Devin agents

Use --implementer devin::fast or --reviewer devin::standard, or author a bare agent: devin stage with a matching profile sidecar ("execute": "devin::fast"). Literal agent: "devin::fast" in YAML is unsupported; a sidecar must match the stage's provider. Devin tiers are critical (swe-2-max/max), standard (swe-2-high/high), and fast/budget (swe-2-medium/medium). Bare devin leaves model and effort to Stratum; coordinator is unavailable. Defaults, automatic routing, and preset assignments are unchanged. A Devin-capable Stratum runtime and authenticated Devin CLI on macOS are required.

Consumer fan-out stages support Devin; ordinary GSD direct steps refuse it with a named error. Claude tool templates are not enforced for Codex or Devin: their boundary is the requested OS sandbox (read-only or workspace-write). Devin currently supplies final message/usage events, without per-tool observability.

A zero USD cost is known only with producer-stated reported or estimated provenance and no unpriced steps. This includes Devin's estimated $0 and Claude's explicit reported $0. Legacy unlabeled zeros remain unknown. A dollar ceiling cannot limit zero-priced work; token, time, and action limits still apply.

@smartmemory/compose

新增此伺服器

用我們的金鑰與日誌託管一份副本。

Server facts

Tools

Questions

How do I install @smartmemory/compose?

Does @smartmemory/compose need an API key?

What transport does @smartmemory/compose use?

When was @smartmemory/compose last checked?

Documentation

Compose

Structured AI dev pipeline: goal to shipped code, with gates that hold

Your agent writes the code. Compose makes it prove it.

The problem

Who it's for

Why Compose

How it holds the line

30-second example

Model routing (shadow)

Quick install

Upgrading

Code graph (optional)

Jev gate defaults (optional)

Bundled skills

Tracker providers

Backfilling a completion (guarded workspaces)

Remote access (mobile PWA from anywhere)

SmartMemory coupling (opt-in)

Maya colleague panel (opt-in, requires the SmartMemory service stack)

Documentation

Specs and design

License

Explicit Devin agents