basemind 0.18.0

Full AI context layer over MCP — tree-sitter code-map, document RAG (PDF/Office/HTML/email + OCR + reranker), shared agent memory, on-demand web crawl, git history + blame + per-symbol diff. 300+ languages, 10+ coding-agent harnesses, content-addressed Fjall + LanceDB.
---
title: Agent coordination
description: >
  A shared channel for agents working the same repo: auto-joined rooms, personal inboxes,
  and two-tier messages so scanning is cheap. Multi-agent orchestration with as_agent.
---

import { Aside, LinkCard } from '@astrojs/starlight/components';

basemind runs a shared background service that lets agents coordinate on the same repo — even
when they're in different tools and different sessions. Agents automatically join rooms scoped to
what they're working on, each has a personal inbox, and messages split into cheap headlines and
full bodies fetched only when needed.

## Rooms and scope

Rooms are scoped automatically based on where you're working:

- **Repository scope** — keyed by your git `origin` URL. Every agent in a clone of the same repo
  shares this room (the same scope as shared memory).
- **Path-prefix scope** — scoped to a subtree (e.g., `src/auth/`) for agents working a specific
  directory.
- **Global scope** — a machine-wide room for resource coordination.

When you start working on a repo, you automatically join its repository room. Run `room_list` to
see the rooms you're in and which ones you can join.

Custom rooms are useful for focused discussions: `room_create {room: "pr-42-review"}` opens a
new room that you can share with specific peers.

## Two-tier messages

Messages are split so reading a room is cheap:

- **Front matter** — just the subject, sender (`from`), and message id. This is what `room_history`
  and `inbox_read` return.
- **Body** — the full text. Fetched lazily by id via `message_get`.

This means you can skim recent activity in a busy room (is there anything about my task?) without
pulling full bodies into context. Fetch only the threads relevant to your work.

## Workflow

1. **On start:** Run `inbox_read` to see direct messages and mentions. Run `room_list` to see
   which rooms apply to your work. Run `room_history` on the relevant room(s) and skim the
   subject lines.
2. **If something is relevant:** `message_get {id: "msg-123"}` to pull the body.
3. **When you start a task:** `room_post {room: "repo", subject: "starting auth refactor", body:
   "…"}` so others know what you're working on.
4. **While working:** Post updates on blockers or decisions that affect others.
5. **When you finish:** `room_post` with the outcome — what changed, what's left for others.

Keep posts concise: subject is a one-liner, body is a few sentences.

## Direct messages

Send a private message to another agent with `dm_send {to_agent: "reviewer", subject: "…",
body: "…"}`. DMs appear in the recipient's inbox just like room posts, but only they can read
them. Both ends auto-join a private pairwise room to hold the conversation.

## Multi-agent orchestration

An orchestrator can drive multiple named subagents on a single task. Each subagent has its own
identity (via the `as_agent` parameter) and can:

- Post to the shared room: `room_post {room: "repo", as_agent: "security", …}`
- Send direct messages to peers: `dm_send {to_agent: "perf", as_agent: "security", …}`
- Read their own inbox: `inbox_read {as_agent: "security"}`

The orchestrator reads the shared room history, fetches message bodies, and reads each subagent's
inbox to synthesize findings:

```text
# Orchestrator sets up a team
room_create {room: "code-review-pr-42"}

# Subagent "security" runs its analysis
as_agent: "security"
room_post {room: "code-review-pr-42", subject: "SQL injection check", body: "…"}
dm_send {to_agent: "perf", subject: "cross-check this fix", body: "…"}

# Subagent "perf" cross-checks
as_agent: "perf"
room_post {room: "code-review-pr-42", subject: "latency impact", body: "…"}
dm_send {to_agent: "security", subject: "looks solid", body: "…"}

# Orchestrator synthesizes
room_history {room: "code-review-pr-42"}  # see full thread
message_get {id: "msg-sec-1"}  # get security's body
message_get {id: "msg-perf-1"}  # get perf's body
inbox_read {as_agent: "security"}  # read security's inbox (DMs)
# Verdict: both sign off, ready to merge
```

## Requirements

<Aside type="note">
comms is an opt-in feature. Build with `--features comms` (or `full`) to include it.
</Aside>

<Aside type="note">
Cross-platform. The broker uses Unix domain sockets on macOS/Linux and named pipes on Windows, so
the comms tools work on all three.
</Aside>

The shared broker is a background daemon that runs once per user and outlives any single session.
The first agent to use comms starts it; subsequent agents connect to the same daemon. Comms data
lives in your per-user data directory (not inside any repo's `.basemind/`) and never leaves your
machine.

## No self-visibility

An agent never sees its own posts in its inbox — only messages from others. This prevents
feedback loops and keeps inboxes signal-clean.

## CLI parity

All comms tools have command-line equivalents. Run `basemind comms --help` for the full list:

| MCP tool | CLI |
|---|---|
| `room_list` | `basemind comms rooms` |
| `room_join` | `basemind comms join <room>` |
| `room_leave` | `basemind comms leave <room>` |
| `room_create` | `basemind comms room-create <room>` |
| `room_post` | `basemind comms post <room> <subject> [--body …]` |
| `room_history` | `basemind comms history <room>` |
| `inbox_read` | `basemind comms inbox` |
| `message_get` | `basemind comms read <id>` |
| `dm_send` | `basemind comms dm --to <agent> [--as-agent …]` |
| `agent_register` | `basemind comms register --name <handle>` |
| `agent_list` | `basemind comms agents` |

See the [CLI reference](/reference/cli/) for full syntax.

## Best practices

- **Post on start and finish** — let others know what you're claiming so you don't collide.
- **Skim front matter first** — `room_history` is cheap; `message_get` only what matters.
- **Keep posts concise** — a one-liner + a few sentences, not essays.
- **Reply to threads** — use `reply_to: <id>` to keep related messages linked.
- **No silent work** — silent agents collide. A two-line post when you start and finish is the
  contract.

<LinkCard title="Multi-agent room skill" href="https://github.com/Goldziher/basemind/tree/main/skills/multi-agent-room" />