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Brigade - the brigade at the pass

Brigade

Your agents run loops. Brigade keeps the receipts.

Local control plane for multi-agent coding: share MCP, tools, and memory; remember across sessions; prove runs with file receipts; improve only from real exit codes. Optional stations (GraphTrail, MiseLedger, Agent Pantry) plug into that loop. Diff before every write. No daemon, no lock-in.

Website · Docs · Install · Cookbook

CI status PyPI version PyPI downloads per month Python 3.10+ MIT license

Agentic workflows enabled MCP native Local-first, no daemon

Install

Brigade runs on Linux, macOS, and Windows with Python 3.10 or newer. The CLI and quickstart commands are the same on every platform; only the one-time pipx setup differs. See the per-OS install guide for apt, Homebrew, Scoop, and PowerShell instructions.

pipx install brigade-cli
pipx ensurepath          # then open a new shell so `brigade` is on PATH
brigade operator quickstart --target ./my-repo --harnesses codex
brigade operator doctor --target ./my-repo --profile local-operator

That wires memory, handoffs, a local MCP catalog, the work loop, and guardrails into one repo for one harness, then prints ready. Default footprint is small: AGENTS.md, SAFETY_RULES.md, a handoff template, and .brigade/ state. Add --dry-run to preview; --full for the whole kit. Nothing leaves your machine.

operator doctor: ~/my-repo
profile: local-operator
ready: yes
blocking_issues: 0
next: brigade daily plan --target .

Recording: brigade operator quickstart wires a repo and brigade operator doctor reports ready, in seconds

brigade operator quickstart then operator doctor. Install first, deepen later.

Workspace / multi-harness (OpenClaw, Hermes, more agents):

brigade operator quickstart --target ~/agent-workspace \
  --depth workspace --harnesses openclaw,hermes --owner openclaw

New here? QUICKSTART.md and docs/first-10-minutes.md. Homegrown setup already? brigade operator adopt plan. Point an agent at this repo; AGENTS.md tells it what to do and where to stop. Content guard is built in (brigade scrub); set CONTENT_GUARD_DIR only for an external checkout.

What it does

Job What you get
Share One catalog of MCP servers, tools, and skills Merged into each harness's native config after a dry-run diff
Remember Handoffs between sessions and agents Linted notes, shared memory, slim bootstrap instead of silo bloat
Prove Verify and run through Brigade File receipts: command, real exit code, what changed
Improve Promote or roll back what worked Skills and cards only rank up on those exit codes, never on model self-score

Prove-to-improve loop: verify run writes receipt.json with exit 0 and GraphTrail delta; outcome capture scores the skill +1; reconcile can promote

verify run --capture → receipt + skill score → rank / reconcile promote only on real exits. Not model self-score.

Self-improving means the fleet gets better from measured work, not from the model grading itself. Brigade is a CLI, not an MCP server and not a hosted memory product. Plain files when you run a command.

Stations: how the fleet plugs in

Brigade   GraphTrail   MiseLedger   Agent Pantry   Content Guard   Skillet   Token Glace

Hub marks (circular + hairline). Each links to its brigade.tools/… page.

Brigade is the hub. Optional tools stay in their own repos; brigade add <station> installs them, and status / doctor health-check what is present. Core works with zero sidecars.

Station Install Plugs into Role
GraphTrail GraphTrail brigade add search (bundle: code-search + GraphTrail) Prove Code graph; brigade run prepends a context pack when a graph exists
MiseLedger MiseLedger brigade add evidence Prove / Remember Evidence ledger; export briefs into the next work context
Agent Pantry Agent Pantry brigade add pantry Share Encrypted browser-session / secret sync across machines
Content Guard Content Guard built in (guard / scrub) Share / Remember Secrets and PII scan before publish (docs)
Skillet Skills / Skillet built-in on init; Skillet roster optional Improve Portable skills; reconcile promotes or rolls them back
Token Glace Token Glace brigade add tokens Prove Compact noisy tool output before it burns context
brigade add pantry && brigade add evidence && brigade add search
brigade add tokens
brigade status --target .

Station pages: GraphTrail · MiseLedger · Agent Pantry · Content Guard · Skillet · Token Glace. Full station reference (install, profiles, brigade add, contract): docs/station-contract.md.

One MCP catalog, synced into every tool

Every agent tool reads its MCP servers from a different file in a different shape. The same servers wired across Claude Code, Cursor, Codex, VS Code, OpenCode, and Antigravity means hand-editing six configs and keeping them in sync forever. Brigade keeps one canonical catalog and merges it into each tool's native config for you.

brigade mcp init                  # scaffold .brigade/mcp.json
brigade mcp add --name github --command npx \
  --args "-y @modelcontextprotocol/server-github" \
  --env GITHUB_AUTH_ENV=ref:BRIGADE_GITHUB_AUTH_ENV
brigade mcp sync                  # dry-run: show the diff for every tool
brigade mcp sync --write          # merge into each tool's config
brigade mcp verify                # check initialize + tools/list at runtime

Run brigade mcp sync and you get the per-tool plan, server by server, before a single file changes. Two servers in the catalog, projected across the harnesses wired in this repo:

brigade mcp sync (dry-run): ~/my-repo
claude       github               missing        -> create
claude       sentry               missing        -> create
cursor       github               missing        -> create
cursor       sentry               missing        -> create
codex        github               missing        -> create
codex        sentry               missing        -> create
vscode       github               missing        -> create
vscode       sentry               missing        -> create
opencode     github               missing        -> create
opencode     sentry               missing        -> create

One catalog (.brigade/mcp.json), six native targets. If you are evaluating options first, read the focused comparison page: sync MCP servers across coding agents.

Tool File it writes
Claude Code .mcp.json
Cursor .cursor/mcp.json
Codex CLI .codex/config.toml (merged surgically, other tables preserved)
Grok CLI .grok/config.toml (same TOML shape as Codex; ~/.grok/config.toml via --user-scope)
VS Code .vscode/mcp.json (secrets become inputs[])
OpenCode opencode.json
Antigravity ~/.gemini/config/mcp_config.json (user-scoped, --user-scope)

It is dry-run by default and never runs from doctor or brief. It merges by server key, so servers you added by hand are never touched, and ones you edited are left alone unless you pass --force. Secrets are written as ${VAR} references (or VS Code ${input:VAR}), never inlined. Ownership is tracked in a gitignored sidecar, so re-syncing on a fresh clone does not spuriously conflict. Full behavior in docs/mcp-sync.md.

Tools and skills get the same treatment: brigade tools sync projects one reviewed catalog into each harness's native format.

brigade mcp requires brigade 0.13.0 or newer (pipx upgrade brigade-cli).

Shared memory, with a guard in front

Writer harnesses leave handoff notes as they work. Brigade lints, guards, and classifies each one, then files the safe, targeted notes into durable memory on its own. A memory owner (OpenClaw, Hermes, or just you) only steps in for the ambiguous few. Every consequential action is logged to a plain file you can grep, diff, and prune.

  1. agents write handoff notes into their own local inboxes
  2. Brigade lints and classifies each one before it can become memory
  3. safe, targeted notes file themselves into durable memory automatically
  4. only the ambiguous or risky few wait for your review
  5. future sessions start with better context, and the paper trail shows what happened

Brigade memory workflow: writer handoffs pass through linting, guards, classification, and a memory owner before reaching durable memory or review

Brigade validates and routes. The memory owner performs canonical writes.

Memory has two layers: knowledge cards under memory/cards/ hold the detail, and MEMORY.md stays a slim one-line-per-card index that loads every session. brigade memory care scan flags stale, contradictory, or undersourced cards for review instead of letting them rot. Brigade never edits canonical memory itself; the owner does the writing. It all runs on the machine you control: laptop, workstation, or VPS.

Verified learning

Filing notes is the first loop. The second loop earns trust. Brigade can promote a learned skill on its own, but only when a real signal proves it helped, and it rolls one back the moment a signal says it broke. The model never grades its own work.

Your daily loop. brigade init wires a brigade-work skill into each harness so your agent runs this without being told, but it is three commands by hand:

brigade work brief --target .                                  # 1. what's pending (+ whether the loop is being fed)
brigade work verify run --target . --command "pytest -q" --capture <skill-or-card>   # 2. verify + capture in one step
# 3. write a Memory Handoff for anything durable, then let the ratchet run on its own

Skip this and Brigade is installed-but-dormant: the brief is empty and outcome rank says "ranking: none". brigade work brief reports the loop's own health, so you can see at a glance whether verify runs are piling up while the ledger stays empty.

When Claude Code is selected during project setup, Brigade also installs project-scoped work-loop hooks in .claude/settings.json. The hooks brief once per session and repository, redirect direct test commands to brigade work verify run, and check for a verification receipt after write work. Use brigade work hooks status --target . to inspect the package, or install, update, and uninstall to manage it. Unrelated Claude settings and hooks are preserved.

  • brigade outcome capture records the result of a verify run (a real exit code, not an opinion) against the skill that produced it.
  • brigade outcome score ranks each skill by a Wilson lower bound, so something that passed twice never outranks something vetted across twenty runs.
  • brigade outcome reconcile is the gate. Dry-run by default; with --apply it installs a skill that earned it across your harnesses, or rolls a regressed one back to its last good version.
  • brigade outcome explain prints the full signal trail behind any decision: which run produced each result, the threshold it crossed, and the reversible action taken.

The whole ledger is plain JSON and markdown under memory/outcome/, tracked in git and readable without Brigade. Schedule brigade outcome reconcile in your own cron to run it hands-off; Brigade still installs no daemon.

Harness support

Each writer gets its own local inbox; one canonical owner ingests. Brigade keeps the note format consistent so different tools can contribute without inventing their own styles.

Writer Harness id Inbox
Codex CLI codex .codex/memory-handoffs/
Claude Code claude .claude/memory-handoffs/
OpenCode opencode .opencode/memory-handoffs/
Antigravity antigravity .antigravity/memory-handoffs/
Pi pi .pi/memory-handoffs/
Cursor cursor .cursor/memory-handoffs/
Aider aider .aider/memory-handoffs/
Goose goose .goose/memory-handoffs/
Continue continue .continue/memory-handoffs/
GitHub Copilot CLI copilot .copilot/memory-handoffs/
Qwen Code qwen .qwen/memory-handoffs/
Kimi Code kimi .kimi/memory-handoffs/
AdaL adal .adal/memory-handoffs/
OpenHands openhands .openhands/memory-handoffs/
Grok CLI grok .grok/memory-handoffs/
Amp amp .amp/memory-handoffs/
Crush crush .crush/memory-handoffs/
Hermes hermes .hermes/memory-handoffs/
OpenClaw openclaw usually the memory owner, not a writer

All of them get handoff templates and ingest source coverage. Most also get projected tools and skills in their native format; the per-harness matrix is in the technical guide. Hermes is validated against a real install: handoffs land in .hermes/memory-handoffs/, and reviewed skills install into your Hermes store (~/.hermes/skills).

More

The same review-and-receipt pattern covers the rest of an operator's day, and you can ignore all of it until you need it. Most of these live behind brigade extras on, one command that adds the 18 operator-suite groups (release trains, fleet health, mission control, research, chat archives) to the CLI; until then brigade --help stays at the 24 core groups.

  • Cross-model runs: brigade run "<task>" plans, dispatches, and synthesizes one bounded task across the agent CLIs in your roster, so an expensive model can think while cheaper ones do the grunt work. It can attach GraphTrail and upstream-drift context under a shared brief budget, then records which briefs attached in run.json. --worktree runs everything in a detached git checkout that comes back as a reviewable changes.patch.
  • Daily loop: brigade work brief shows pending work, imports, and warnings; brigade daily status keeps it bounded and cheap.
  • Friction logs: brigade friction scan mines recent notes, handoffs, and session artifacts for reviewable workflow friction.
  • Security and scrub: brigade security scan is a local read-only scanner for agent workspaces. brigade scrub gates content before it leaves the machine, and brigade guard exposes the embedded content guard CLI.
  • Research: brigade research run turns a question into a cited local report and a reviewable memory handoff.
  • Fleet and release: health evidence across your local repos and release-readiness receipts, with no publish step.

The full tour of every station lives in docs/overview.md.

Why not something else?

  • mem0, Letta, agentmemory, and friends are memory layers for apps you are building, usually behind an API or a server. Brigade is for the agent CLIs you already run, and it is file-first: your memory is markdown in your repo, reviewable in git, readable without Brigade.
  • add-mcp, chezmoi, and config-sync scripts move MCP or dotfiles around, but they sync one thing with no review gate and no receipt, and they do not touch memory or skills. Brigade keeps one canonical source for MCP servers, tools, skills, and memory together, shows the per-tool diff before any write, and leaves a receipt you can roll back.
  • Native harness memory (each tool's own auto-memory) is a per-tool silo. It does not cross harnesses, and it writes without review. Brigade gives every tool one shared format and one canonical owner, with a review gate in between.
  • Already running Hermes, or any self-improving agent? Keep it. Brigade is not a replacement, it is the verification layer on top. A built-in learning loop grades its own work and keeps what it learns inside one tool. Brigade promotes a skill only when a real signal confirms it, keeps every learned skill as portable markdown in your git, and runs one loop across your whole fleet.
  • A plain CLAUDE.md / AGENTS.md works great until it bloats past the context budget and goes stale. Brigade keeps bootstrap files slim, moves detail into indexed cards, and flags staleness instead of trusting last month's facts forever.
  • A daemon or hosted service would be simpler to demo and worse to trust. Brigade writes local files when you run a command, and that is all it does.

At a glance, against the tools people reach for first:

Across harnesses MCP, tools, and memory in one source Review gate + receipts Local files, no daemon
Brigade yes yes yes yes
mem0 / Letta / agentmemory per-SDK memory only no usually hosted or a server
add-mcp / chezmoi / config-sync partial MCP or dotfiles only no yes
Native harness memory no memory only no yes

What Brigade is not

Brigade is not a hosted memory service, a daemon, or an automatic release bot.

It does not:

  • run in the background or install schedulers (one scoped exception: brigade tools runtime start launches a local runtime process, only when you start it, until you stop it)
  • push to GitHub or publish packages
  • send notifications by default
  • save every note automatically
  • turn memory ingest into a silent background process
  • skip review for ambiguous, risky, or failed notes

That pause is the point. Agent memory should be useful, not noisy.

And it is not the other projects that share the name. This Brigade is the AI-agent operator CLI, installed with pipx install brigade-cli from escoffier-labs/brigade. It is not the CNCF/Microsoft Brigade for event-driven scripting on Kubernetes (archived in 2022), the Spinabot Brigade agent crew, or the 2017 brigade Python package that became Nornir. Same word, different tool.

Why I built this

Brigade - le chef de cuisine

I run an always-on OpenClaw agent next to daily Codex and Claude Code sessions. Every one of those tools wakes up empty, and whatever a session learned scattered across tool-specific folders and died there. Two incidents shaped the design: a "dreaming" job that promoted raw session fragments straight into memory bloated MEMORY.md past the bootstrap budget, so every session started truncated and nobody noticed for weeks; and 195 handoff notes that sat unread across 35 repos because an ingester had a hardcoded allowlist and nothing warned about the gap. Silence is the failure mode. Every part of Brigade that lints, warns, or writes a receipt exists because something once failed in silence. The full production stack, now 482 cards across daily multi-agent work, is documented in the Cookbook.

Docs

License

MIT. See LICENSE.

Project identity: GitHub escoffier-labs/brigade, website brigade.tools, PyPI brigade-cli, command brigade. The name comes from the kitchen: a brigade de cuisine runs the line, and mise en place means the station is prepped before service. Set up the rules, memory, tools, and receipts before the session gets expensive.

It is early-stage and moving fast. If you hit a broken workflow, a confusing command, or a setup issue, open an issue and I will get it fixed.

About

Your agents run loops. Brigade keeps the receipts. Local control plane: share MCP, tools, and memory across harnesses; prove with file receipts; improve only from real exit codes. No daemon, no lock-in.

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