Run parallel AI agents in OpenCode. Each agent gets its own session, context window, and task. They coordinate through messaging and a shared task board.

Plugin built on the public OpenCode SDK. No internal dependencies.

You ask the agent to do something complex. It creates a team, spawns teammates, and they work in parallel. Each teammate runs in its own OpenCode session with a fresh context window.

A real interaction:

You: "Add input validation to all API endpoints and write tests for each one."

The lead agent:
1. Creates a team called "validation"
2. Adds tasks to the shared board, one per endpoint
3. Spawns 3 teammates:
   - alice: validate user endpoints (POST /users, PUT /users/:id)
   - bob: validate order endpoints (POST /orders, PUT /orders/:id)
   - carol: write integration tests for all validated endpoints
4. carol's tasks depend on alice and bob finishing first

Alice and bob work simultaneously. You see toast notifications as they progress:

[toast] Teammate alice spawned (build)
[toast] Teammate bob spawned (build)
[toast] Teammate carol spawned (build)

Teammates talk to each other and to the lead:

alice -> lead: "User validation done. Added zod schemas to POST /users and PUT /users/:id."
bob -> lead: "Order validation done. Found an edge case in PUT /orders/:id, negative quantities were allowed."
bob -> alice: "Did you handle email format validation? I want to match the pattern for order contact emails."
alice -> bob: "Yes, using z.string().email(). See src/validators/user.ts line 12."

When alice and bob finish, carol's blocked tasks unblock automatically. Carol starts writing tests using the validation schemas they created.

Check on things at any time:

You: "How's the team doing?"

Lead calls team_status:
  Team: validation (you are the lead)
  Members:
    alice   [idle]     agent: build  session: ses_abc
    bob     [idle]     agent: build  session: ses_def
    carol   [working]  agent: build  session: ses_ghi
  Tasks: 5 total (3 completed, 1 in_progress, 1 pending)

Want to see what carol is doing? The lead can switch your view to her session:

You: "Show me what carol is working on."

Lead calls team_view({ member: "carol" })
-> TUI switches to carol's session, showing her full chat log
-> Use the session picker (ctrl+p) to go back to the lead

When everything is done, the lead shuts down teammates and cleans up:

[toast] alice shut down
[toast] bob shut down
[toast] carol shut down

Lead: "All validation and tests are complete. 5 endpoints validated,
       12 test cases added. Team cleaned up."

Add the plugin to your OpenCode config. Project-level or global.

Project-level (opencode.json in your project root):

{
  "plugin": ["@hueyexe/opencode-ensemble"]
}

Global (~/.config/opencode/opencode.json):

{
  "plugin": ["@hueyexe/opencode-ensemble"]
}

OpenCode auto-installs npm plugins at startup (cached in ~/.cache/opencode/node_modules/). No npm install needed.

For working on the plugin itself, create .opencode/plugins/ensemble.ts in your project:

export { default } from "@hueyexe/opencode-ensemble"

Or point directly at the source checkout:

export { default } from "/path/to/opencode-ensemble/src/index.ts"

13 tools. The lead has all of them. Teammates get 6 (messaging + tasks).

Team lifecycle (lead only)

Communication (everyone)

Task board (everyone)

The plugin works within OpenCode's existing TUI. No custom team panel (that requires core TUI changes, which are in progress upstream).

What you get:

• Toast notifications when teammates spawn, finish, error, shut down, or get rate-limited
• Working progress toasts showing who's still active after every status change (e.g. "Working: alice, bob (2/3)")
• Rich tool titles in the sidebar (e.g. "Spawned alice (build)", "Message -> bob", "Task board (3 tasks)")
• Session switching via team_view to see any teammate's full chat log
• Status checks via team_status for a snapshot of the whole team

Teammate messages arrive in the lead's session as [Team message from alice]: ... blocks. They look like user messages because that's how promptAsync delivery works. Content is clearly labeled with the sender's name.

• SQLite (bun:sqlite, WAL mode) for teams, members, tasks, and messages
• promptAsync for message delivery: injects a message and starts the prompt loop in one call
• Git worktree isolation: each teammate gets their own worktree by default, so multiple agents can edit files without conflicts. Opt out with worktree: false for read-only agents.
• System prompt injection: the lead's system prompt includes team state (member statuses, task counts) on every LLM call. Teammates get a short role reminder.
• Compaction safety: team context is preserved when OpenCode compacts long conversations
• Shell environment: teammate shells get ENSEMBLE_TEAM, ENSEMBLE_MEMBER, ENSEMBLE_ROLE, and ENSEMBLE_BRANCH variables
• Sub-agent isolation: teammates' sub-agents can't use team tools (parent chain tracking, max depth 10)
• Crash recovery: stale busy members marked as errored on restart, orphaned sessions aborted, orphaned worktrees cleaned up, undelivered messages redelivered
• Spawn rollback: if the initial prompt fails, the member, session, and worktree are all cleaned up
• Timeout watchdog: teammates stuck busy beyond the TTL are automatically timed out and aborted
• Graceful shutdown: busy teammates receive a shutdown message and finish their current work. Use force: true to abort immediately.
• Rate limiting: token bucket (configurable via OPENCODE_ENSEMBLE_RATE_LIMIT, default 10 tokens/sec)

# Adjust rate limit (default: 10 tokens, refills 2/sec)
OPENCODE_ENSEMBLE_RATE_LIMIT=20

# Disable rate limiting
OPENCODE_ENSEMBLE_RATE_LIMIT=0

# Adjust teammate timeout (default: 1800000ms = 30 minutes)
OPENCODE_ENSEMBLE_TIMEOUT=3600000

# Disable timeout watchdog
OPENCODE_ENSEMBLE_TIMEOUT=0

• Start with 2-3 teammates. More agents means more coordination overhead.
• Give each teammate specific, self-contained tasks. Vague prompts produce vague results.
• Spawn an explore agent first to understand the codebase, then spawn build agents with that context.
• Use worktree: false for read-only agents (research, review, code analysis).
• Use plan_approval: true for risky changes. The teammate sends a plan first, you review and approve before they write any code.
• Don't micromanage. Teammates message you when done or when they're blocked.
• Don't poll team_status in a loop. Wait for messages.

Same coordination model (shared tasks, peer messaging, lead coordination) with some additions:

• Git worktree isolation by default: each teammate gets their own branch, no merge conflicts between parallel agents
• System prompt injection: the lead's system prompt is updated with team state so it stays aware across turns
• Compaction safety: team context is preserved when sessions get long
• Team-aware shell environment: ENSEMBLE_TEAM, ENSEMBLE_MEMBER, ENSEMBLE_ROLE, ENSEMBLE_BRANCH
• Graceful shutdown: teammates finish current work before stopping, with a force flag for emergencies
• Plan approval mode: review teammate plans before they write code
• Works today as a plugin: install and go, no upstream changes needed

bun install
bun run typecheck
bun test             # 286 tests
bun run build

See CONTRIBUTING.md for development guidelines.

MIT