worker-bridge
Delegate coding tasks to external AI coding agents in isolated git worktrees with independent verification, enabling any MCP client to orchestrate multi-agent workflows.
README
worker-bridge
Delegate coding tasks to external AI coding agents — in isolated git worktrees, with independent verification — from any agent, over MCP.
worker-bridge lets one AI agent hand a scoped coding job (implement a feature, fix a cross-file bug, run a migration) to an external coding CLI — Codex, Claude Code, OpenCode, or any command-line agent — inside an isolated git worktree, then independently verifies the diff itself before handing it back. It exposes this as an MCP server, so any MCP-capable client (Claude Code, Cursor, Windsurf, Cline, Continue, …) can use it with zero code.
Dispatching agents is commodity. worker-bridge is about dispatching with a provable chain of custody: isolated execution, host-wide concurrency limits, an independent verification gate, and secret-safe event logs.
Why
- Isolation by default — each task runs in its own
git worktreeon a fresh branch. Workers never touch your working tree. - Independent verification — the orchestrator runs your verification commands (
pytest -q,npm test, …) itself, separately from the worker, and records the result. A worker can't mark its own homework. - Cross-process safety — task ownership is an atomic SQLite claim and concurrency is enforced by DB-backed leases, so many independently-launched runners can share one host without double-executing a task or overrunning limits.
- Windows-aware — cancellation kills the whole worker process tree (validated by command line, so a recycled PID is never killed).
- Secret-safe — connection strings, PEM keys, and cloud key IDs are redacted before anything is persisted.
- Multi-worker — run the same task on several workers and compare, or run an implementer + a reviewer.
These guarantees come from an independent production audit of the engine; see
docs/audit.mdfor the findings.
Install
pip install worker-bridge-mcp
You also need at least one worker CLI on your PATH — e.g. Codex, Claude Code, or OpenCode. Run worker-bridge workers list to see what's detected.
Use it as an MCP server
The server runs over stdio. Add it to your MCP client:
Claude Code
claude mcp add worker-bridge -- worker-bridge-mcp
Cursor / Windsurf / Cline / Continue — add to the client's MCP config (mcp.json / settings):
{
"mcpServers": {
"worker-bridge": {
"command": "worker-bridge-mcp"
}
}
}
Optional environment:
{
"mcpServers": {
"worker-bridge": {
"command": "worker-bridge-mcp",
"env": { "WORKER_BRIDGE_HOME": "/path/to/state", "WORKER_BRIDGE_MAX_CONCURRENCY": "4" }
}
}
}
Tools
| Tool | What it does |
|---|---|
worker_delegate |
Start a scoped coding task on a worker in an isolated worktree; returns a task_id. |
worker_status |
Poll a task: status, summary, changed files, verification result, artifact paths. |
list_workers |
Which coding workers are installed and healthy on this machine. |
worker_cancel |
Cancel a task and terminate its worker process tree. |
worker_logs |
Normalized event stream for a task (progress, completion, verification). |
Typical flow, from the host agent's side: call worker_delegate(objective=…, repository=…, verify=["pytest -q"]), then poll worker_status(task_id) until it's succeeded/failed. The changed files land in an isolated worktree plus a diff artifact; nothing is merged into your branch automatically.
Use it as a CLI
worker-bridge workers list
worker-bridge tasks create --objective "Add a --json flag" --repo /abs/path/repo --worker codex --verify "pytest -q"
worker-bridge tasks start <task_id> --wait
worker-bridge tasks show <task_id>
Use it as a Python library
import asyncio
from worker_bridge import WorkerBridge
bridge = WorkerBridge()
task = bridge.create_task({
"objective": "Add a --json flag to the CLI",
"worker": "codex",
"workspace": {"repository": "/abs/path/to/repo", "isolation": "git_worktree"},
"verification": {"commands": ["pytest -q"]},
})
result = asyncio.run(bridge.start_task(task["task_id"]))
print(result["status"], result["result"]["metadata"]["verification"]["ok"])
Workers
Built-in adapters:
- codex, claude-code, opencode — the mainstream coding CLIs.
- zcode-glm — Claude Code pointed at an Anthropic-compatible endpoint (default Z.ai GLM). A template for any alternate endpoint: subclass or construct with a different
base_url/model; the auth token is read from an env var by name (ZCODE_AUTH_TOKEN) so it never lands in a task spec or result. - vscode (experimental) — delegates into a running VS Code window via the companion
vscode-extension/(a loopback HTTP bridge on127.0.0.1:9394). Install/run the extension first; without it the worker fails closed cleanly. Seevscode-extension/README.md. - mock — deterministic, for tests.
Any other non-interactive coding CLI can be linked without code:
worker-bridge workers link my-agent --command-json '["my-agent","run","{prompt}"]'
Accepting work
A task's changes live in an isolated worktree and are never merged automatically. When you're satisfied, worker-bridge tasks accept <task_id> copies the verified changes back into the source repository (under a repository lock, refusing symlink escapes). Only independently-verified successful tasks can be accepted.
Configuration
State lives under WORKER_BRIDGE_HOME (default ~/.worker-bridge/): the SQLite store, worktrees, and artifacts. Tunables via env or ~/.worker-bridge/config.yaml:
| Env | Default | Meaning |
|---|---|---|
WORKER_BRIDGE_HOME |
~/.worker-bridge |
State root |
WORKER_BRIDGE_MAX_CONCURRENCY |
4 |
Global concurrent workers (host-wide) |
WORKER_BRIDGE_REPO_CONCURRENCY |
3 |
Concurrent workers per repository |
WORKER_BRIDGE_STORE |
— | Override the SQLite path |
Storage safety
Workspace allocation is designed so a delegation can never quietly eat the disk:
- Containment — the worker root and the target repository must never contain each other (checked by path math, not names), so a task can never recursively copy earlier tasks' workspaces into itself. Copying a repo at or above the bridge home requires an explicit
allow_profile_copyopt-in, and copy sources containing symlinks/junctions are refused outright. - Copy budgets + disk reserve —
copyisolation measures the source first (honoring cache/VCS exclusions like.git,node_modules,__pycache__) and refuses anything over 2 GiB / 50k files; the copy must also leave at least max(10 GiB, 5% of capacity) free on disk. - Two-phase allocation — the destination is planned and persisted (
allocation_state: "allocating") before any filesystem mutation, and the mutation runs under a timeout. A crash, kill, or hang always leaves a task record naming the directory it was building, a cleanfailed/timed_outstate, and a swept partial tree — never an unfindable half-copied giant. - Prune —
worker-bridge workspaces prune(dry-run by default;--applyto delete,--include-pausedto widen) and theworker_pruneMCP tool reclaim worktrees of terminal tasks plus orphan directories no task record references. Accepted tasks reclaim their worktree automatically.
Security
Custom/read-only permission profiles are checked after execution and are not an OS sandbox — the real filesystem boundary is the worker client's own sandbox (Codex workspace-write, etc.), which the bridge selects per profile. Symlink escapes are detected and fail the task; a raw path-traversal write by a sandbox-less worker cannot be seen post-hoc. Do not point a full_access worker at hostile input without a container. Secrets are redacted from the event log and store.
License
MIT — see LICENSE.
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