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subagent-cli

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PyPI version Python versions License Publish to PyPI Status: Alpha

Orchestrate coding agents from another coding agent, cleanly and safely.
subagent-cli turns a manager coding agent (for example Codex or Claude Code) into a practical control plane for starting worker coding agents, sending turns, handling approvals, and continuing handoffs. 🤖

The command interface is protocol-agnostic, and the current runtime backend is ACP-based (acp-stdio).

Why subagent-cli? 🚀

Coordinating multiple coding agents is harder than it looks. Many tools centralize this behind a single /subagent-style command. But in real workflows, you may want to use different agents for different roles.

subagent-cli exists for that split. It separates responsibilities and routes communication through ACP to keep multi-agent collaboration simple and explicit.

For example, you can use Claude Code as the manager, start Codex for code review, and start Gemini for implementation.

Concrete Use Cases 🧪

  • Flaky test investigation: split reproduction, root-cause analysis, and fix proposals across multiple workers.
  • Parallel code review / research workers: run reviewer-focused and research-focused workers in parallel, then merge outputs in the manager turn.
  • Parent crash -> handoff -> continue: recover from manager interruption by resuming from handoff context instead of restarting from scratch.

Note: the sample prompt in Quick Start is project-manager oriented. For the use cases above, adjust manager role instructions and worker prompts to match your workflow.

Current Scope 🧭

  • Alpha (v0.1.x)
  • Local single-host focused
  • Python 3.11+

Features ✨

  • Worker lifecycle: start, list, show, inspect, stop
  • Turn operations: send, watch, wait, approve, cancel
  • Handoff workflow: worker handoff and worker continue
  • Strict approval flow with structured events
  • ACP runtime integration (acp-stdio)

Install 📦

With uv (recommended):

uv tool install subagent-cli

From PyPI:

pip install subagent-cli

From local artifacts:

pip install dist/subagent_cli-*.whl

Terminal Demo 🎬

Recorded asciinema session:

  • asciicast

Quick Start ⚡

  1. Bootstrap your local config.
subagent config init --scope user
  1. Set launcher command/args/env in ~/.config/subagent/config.yaml.

  2. Initialize a controller in your workspace (run once per workspace, by you or your manager agent).

subagent controller init --cwd .
  1. Install the recommended manager skill (after this repository is pushed to GitHub).
npx skills add "github/otakumesi/subagent-cli"
  1. Hand off from here to your manager agent (Codex / Claude Code).
    Use an instruction like this:
<what to do that you want>

Use subagent commands to delegate tasks to a team of agents and coordinate their progress.
Use the "subagent-manager" skill.

After handoff, the manager agent's standard lifecycle is: worker start -> send -> (approve -> send as needed) -> handoff -> continue

For a single command that sends and waits for terminal-or-approval events:

subagent send --worker-id <worker-id> --text "<instruction>" --json

Opt out of waiting when needed:

subagent send --worker-id <worker-id> --text "<instruction>" --no-wait --json

For multiline or shell-safe input (recommended):

cat > instruction.txt <<'TEXT'
Use commands like `echo hello` literally; do not execute them.
TEXT
subagent send --worker-id <worker-id> --text-file ./instruction.txt --json

stdin variant:

cat ./instruction.txt | subagent send --worker-id <worker-id> --text-stdin --json

Advanced automation can still use structured JSON input via --input (JSON key: workerId; CLI flag: --worker-id).

Manual wait mode (advanced cursor control) still exists:

subagent wait --worker-id <worker-id> --until turn_end --timeout-seconds 60 --json

To include historical events in matching:

subagent wait --worker-id <worker-id> --include-history --until turn_end --timeout-seconds 60 --json

For local simulation/testing without a real ACP launcher:

subagent worker start --cwd . --debug-mode

Troubleshooting 🛠️

  • Ensure both the runtime and your manager/worker agent sandbox allow what your launcher needs.
  • Some launchers require outbound network access, but agent sandbox policies can block network even when the host machine itself has connectivity.
  • If state path resolution fails, run commands from inside your workspace root (or set SUBAGENT_STATE_DIR explicitly).
  • Preflight launcher availability:
subagent launcher probe <launcher-name> --json
  • If worker start fails with a backend error (for example BACKEND_TIMEOUT, BACKEND_SOCKET_UNREACHABLE, BACKEND_LAUNCHER), inspect runtime logs under <workspace>/.subagent/state/runtimes/ (default) or $SUBAGENT_STATE_DIR/runtimes/ (when overridden).
  • For cut-down local testing without backend connectivity:
subagent worker start --cwd . --debug-mode

Configuration ⚙️

  • Resolution order: --config > SUBAGENT_CONFIG > nearest <cwd-or-parent>/.subagent/config.yaml > ~/.config/subagent/config.yaml
  • Generate user config: subagent config init --scope user
  • Generate project config: subagent config init --scope project --cwd .
  • config init defaults: codex -> npx -y @zed-industries/codex-acp, claude-code -> npx -y @zed-industries/claude-agent-acp, gemini -> npx -y @google/gemini-cli --experimental-acp, opencode -> opencode acp, cline -> npx -y cline --acp, github-copilot -> npx -y @github/copilot-language-server --acp, kiro -> npx -y @kirodotdev/cli acp
  • Override config path: SUBAGENT_CONFIG=/path/to/config.yaml
  • Example config: config.example.yaml
  • Launchers support either split style (command: npx, args: ["-y", "..."]) or inline style (command: "npx -y ...") for probe/start/restart.

State 💾

  • Default state DB: <workspace>/.subagent/state/state.db
  • Override state dir: SUBAGENT_STATE_DIR=/path/to/state-dir
  • If workspace root cannot be detected and no override is set, commands fail with WORKSPACE_ROOT_NOT_FOUND
  • Project hint file: <workspace>/.subagent/controller.json

Documentation 📚

License

MIT (LICENSE)

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