Multi-agent orchestrator for OpenClaw and other AI platforms. Manages coding agents (OpenCode, Codex CLI, Claude CLI, Gemini CLI) through the Agent Client Protocol (ACP) — structured JSON-RPC over stdio, multi-agent task execution, dependency chains, and built-in diagnostics.

If you use OpenClaw or orchestrate multiple AI coding agents, you've probably resorted to tmux send-keys / capture-pane hacks. That approach is:

• Wasteful - polling burns tokens on non-semantic terminal output
• Fragile - ANSI escape codes, progress bars, rendering artifacts
• Blind - no reliable way to know if an agent is idle, running, or waiting on approval

ACP Bridge replaces that with a stable HTTP API backed by the Agent Client Protocol (ACP).

You / Orchestrator
 ↓ HTTP
ACP Bridge Daemon
 ↓ JSON-RPC over stdio
opencode / codex / claude / gemini (ACP mode)
 ↓
LLM API

ACP Bridge is designed to work with OpenClaw — an autonomous AI agent platform. OpenClaw agents can use ACP Bridge to dispatch coding tasks to multiple coding agents (Codex, Claude, Gemini) in parallel, with full permission control and diagnostics.

OpenClaw Agent (e.g. Otacon, Raiden)
 ↓ HTTP (localhost:7800)
ACP Bridge Daemon
 ↓ ACP over stdio
codex / claude / gemini
 ↓
LLM APIs (OpenAI, Anthropic, Google)

Typical workflow:

1. OpenClaw agent starts ACP Bridge daemon
2. Spawns coding agents as needed (start codex, start claude, etc.)
3. Sends tasks via ask or creates multi-agent task graphs via /tasks
4. Monitors progress, approves/denies permissions, handles errors
5. Uses doctor and diagnose for automated troubleshooting

# Global install (recommended)
npm install -g acp-bridge
# Or clone and build
git clone https://github.com/allvegetable/acp-bridge.git
cd acp-bridge
npm install && npm run build

# Install globally
npm install -g acp-bridge
# Global commands installed by npm
acp-bridge --help
acp-bridged --help
# Start daemon (foreground)
ACP_BRIDGE_PORT=7800 acp-bridged
# Or manage daemon in background
acp-bridge daemon start
# Start agents
acp-bridge --url http://127.0.0.1:7800 start opencode --name my-agent --cwd ~/my-project
acp-bridge --url http://127.0.0.1:7800 start codex --name codex-agent --cwd ~/my-project
acp-bridge --url http://127.0.0.1:7800 start claude --name claude-agent --cwd ~/my-project
acp-bridge --url http://127.0.0.1:7800 start gemini --name gemini-agent --cwd ~/my-project
# Ask, stream, inspect
acp-bridge --url http://127.0.0.1:7800 ask my-agent "refactor the auth module"
acp-bridge --url http://127.0.0.1:7800 ask my-agent --stream "refactor the auth module"
acp-bridge --url http://127.0.0.1:7800 status my-agent
acp-bridge --url http://127.0.0.1:7800 list
# Permission and session control
acp-bridge --url http://127.0.0.1:7800 approve my-agent
acp-bridge --url http://127.0.0.1:7800 deny my-agent
acp-bridge --url http://127.0.0.1:7800 cancel my-agent
# Stop agent / daemon
acp-bridge --url http://127.0.0.1:7800 stop my-agent
acp-bridge daemon status
acp-bridge daemon stop

Default daemon address is 127.0.0.1:7800.

Alternative local development flow:

git clone https://github.com/allvegetable/acp-bridge.git
cd acp-bridge
npm install
npm run build
node dist/daemon.js

Create ~/.config/acp-bridge/config.json:

{
 "port": 7800,
 "host": "127.0.0.1",
 "agents": {
 "opencode": {
 "command": "~/.opencode/bin/opencode",
 "args": ["acp"],
 "env": {
 "OPENAI_API_KEY": "your-key",
 "OPENAI_BASE_URL": "https://api.openai.com/v1"
 }
 },
 "claude": {
 "command": "claude-agent-acp",
 "env": {
 "ANTHROPIC_API_KEY": "your-key",
 "ANTHROPIC_BASE_URL": "https://api.anthropic.com"
 }
 },
 "codex": {
 "command": "codex-acp",
 "env": {
 "OPENAI_API_KEY": "your-key"
 }
 },
 "gemini": {
 "command": "gemini",
 "args": ["--experimental-acp"],
 "env": {
 "GEMINI_API_KEY": "your-key",
 "GOOGLE_GEMINI_BASE_URL": "https://generativelanguage.googleapis.com"
 }
 }
 }
}

Environment variables like ACP_BRIDGE_PORT and ACP_BRIDGE_HOST still override config file values.

Each agent type uses a different path to speak ACP over stdio:

┌─────────────┐ ┌──────────────────┐ ┌─────────┐
│ acp-bridge │────▶│ opencode acp │────▶│ LLM API │
│ daemon │ └──────────────────┘ └─────────┘
│ │ ┌──────────────────┐ ┌─────────┐
│ │────▶│ codex-acp │────▶│ OpenAI │
│ │ └──────────────────┘ └─────────┘
│ │ ┌──────────────────┐ ┌─────────┐
│ │────▶│ claude-agent-acp │────▶│Anthropic│
│ │ └──────────────────┘ └─────────┘
│ │ ┌──────────────────┐ ┌─────────┐
│ │────▶│ gemini --exp-acp │────▶│ Google │
└─────────────┘ └──────────────────┘ └─────────┘

OpenCode - Native ACP. Just works with opencode acp.

Codex CLI - Uses codex-acp, a Rust adapter that wraps the Codex CLI library as an ACP agent. We pin to the rust-v0.101.0 revision to match Codex CLI 0.101.0. The daemon tries codex-acp first, then falls back to codex mcp-server.

Claude CLI - Uses @zed-industries/claude-agent-acp (v0.17.1), Zed's official adapter that wraps the Claude Agent SDK as a standard ACP agent. Install with npm install -g @zed-industries/claude-agent-acp. Note: this adapter uses ACP protocol version 1 (numeric) instead of the date-string format used by other agents - ACP Bridge handles both transparently.

Required environment variables for Claude:

ANTHROPIC_API_KEY="your-key" # or use ANTHROPIC_AUTH_TOKEN
ANTHROPIC_BASE_URL="https://api.anthropic.com" # optional, for proxy/custom endpoints

Gemini CLI - Native ACP support via gemini --experimental-acp. Install with npm install -g @google/gemini-cli. The daemon spawns gemini --experimental-acp over stdio. Like claude-agent-acp, it uses ACP protocol version 1 (numeric).

Required environment variables for Gemini:

GEMINI_API_KEY="your-key"
GOOGLE_GEMINI_BASE_URL="https://generativelanguage.googleapis.com" # optional, for proxy
# Note: do NOT include /v1 suffix - the SDK appends /v1beta/ automatically

The daemon exposes a REST API:

Use tasks to run multiple subtasks in parallel or in dependency chains across agents.

Create a parallel task:

acp-bridge task create '{"name":"ship-auth","subtasks":[{"id":"scan","agent":"codex-agent","prompt":"scan auth module for dead code"},{"id":"tests","agent":"claude-agent","prompt":"design edge-case tests for auth module"}]}'

Create a dependency chain with dependsOn and {{dep.result}} templates:

acp-bridge task create '{"name":"fix-and-verify","subtasks":[{"id":"analyze","agent":"my-agent","prompt":"find bug in session refresh flow"},{"id":"patch","agent":"my-agent","dependsOn":["analyze"],"prompt":"apply this fix: {{analyze.result}}"},{"id":"verify","agent":"codex-agent","dependsOn":["patch"],"prompt":"review and validate patch: {{patch.result}}"}]}'

Task lifecycle:

• running - task/subtask is actively executing
• done - completed successfully
• error - failed; inspect error payload and diagnostics
• cancelled - cancelled by user or cascading cancellation

Task CLI commands:

acp-bridge task create '{"name":"...","subtasks":[...]}'
acp-bridge task status <id>
acp-bridge task list
acp-bridge task cancel <id>

ACP Bridge includes runtime diagnostics and preflight validation to catch setup issues early.

• acp-bridge doctor - checks all configured agent types and reports readiness
• GET /agents/:name/diagnose - deep health check for a running agent process
• Preflight checks run on agent start (binary presence, config completeness, protocol compatibility, upstream connectivity)
• Error classification normalizes failures into stable codes for debugging and automation

Common error classes:

• AUTH_INVALID - API key invalid, expired, or rejected by provider/proxy
• UPSTREAM_UNAVAILABLE - provider/proxy unavailable (often HTTP 503)
• CONNECTION_REFUSED - daemon cannot reach configured base URL/endpoint
• BINARY_NOT_FOUND - required CLI/adapter executable missing in PATH
• STREAM_TERMINATED - upstream stream ended unexpectedly without finish reason
• PROTOCOL_MISMATCH - ACP protocol version mismatch between bridge and agent

• "API key invalid or expired": verify the key, and if using a proxy ensure provider-specific key format is accepted by that proxy.
• "Service unavailable (503)": your proxy/provider likely has no available channels/capacity; retry later or switch endpoint.
• "Connection refused": check --url and configured base URLs (OPENAI_BASE_URL, ANTHROPIC_BASE_URL, GOOGLE_GEMINI_BASE_URL).
• "binary not found": install the agent CLI/adapter and confirm it is in PATH.
• "Model stream ended without finish reason": usually an upstream proxy/provider stream issue, not local ACP Bridge config.
• "protocol mismatch": upgrade ACP Bridge and the relevant agent adapter so protocol versions are compatible.
• Use acp-bridge doctor first, then call GET /agents/:name/diagnose for deep checks on a running agent.

• Phase 1: Daemon + CLI + OpenCode support
• Phase 2: Codex, Claude, Gemini support + permission/session controls
• Phase 3: Parallel multi-agent tasks, dependency chains, task lifecycle APIs and CLI
• Phase 4: Diagnostics, npm publish, documentation updates
• Future: OpenClaw skill integration
• Future: Web UI

• ACP Protocol - The standard this project builds on
• agent-team - Multi-agent CLI orchestrator (standalone)
• codex-acp - Codex CLI ACP adapter (Rust)
• claude-agent-acp - Claude CLI ACP adapter by Zed Industries

MIT