agentorchestr 0.9.0

Agent orchestrator for terminal-based coding agents — discovers installed CLIs, runs them in parallel, ships giant projects in hours

agentorchestr

A supervisor/worker orchestrator for terminal-based coding agents.

agentorchestr discovers installed CLI agents (Claude Code, Kiro, OpenClaude, OpenCode, Codex, Gemini CLI, Aider, Goose…), assigns one as a lead that receives an MCP tool surface, and tiles the rest as workers in a single tmux session — each in its own git worktree.

┌─────────────────────────────────────────────────────────┐
│  tmux window "agentorchestr"                            │
│  ┌───────────────────────────────────────────────────┐  │
│  │  lead agent (kiro / claude / …)  ← MCP tools     │  │
│  ├──────────────────┬────────────────────────────────┤  │
│  │  worker w01      │  worker w02                    │  │
│  │  (implementer)   │  (tester)                      │  │
│  └──────────────────┴────────────────────────────────┘  │
└─────────────────────────────────────────────────────────┘

---

Install

# From PyPI (once published):
pipx install agentorchestr

# From source:
git clone https://github.com/IAZENT/agentorchestr && cd agentorchestr
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

MCP support (required for auto mode):

pip install 'agentorchestr[mcp]'

Optional extras:

pip install 'agentorchestr[discover]'   # cross-terminal mDNS discovery
pip install 'agentorchestr[research]'   # web research via DuckDuckGo
pip install 'agentorchestr[memory]'     # vector retrieval (sqlite-vec + fastembed)

---

LLM keys

agentorchestr's router is used for planning and compression only — the agents use their own auth for coding. Configure at least one:

export ANTHROPIC_API_KEY=...   # paid; 90% off cached prefix (recommended)
export CEREBRAS_API_KEY=...    # 1M tok/day free, ~2100 tok/s
export GROQ_API_KEY=...        # 30 RPM free, ~315 tok/s
export GEMINI_API_KEY=...      # 1500 req/day free, 1M context
export OPENROUTER_API_KEY=...  # 28+ free models

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Quickstart

# Check what's installed:
agentorchestr --detect

# Scaffold per-project context files:
agentorchestr --init

# Run with a goal (auto mode — lead + workers):
agentorchestr --goal "Add JWT auth to /api/users"

# Long goal from a file:
agentorchestr --goal-file design-doc.md

# Interactive multi-line paste (end with /end):
agentorchestr --interactive

# Single agent, no supervisor (manual mode):
agentorchestr --manual --task "fix the login bug"

agentorchestr attaches you to the tmux session automatically. Detach with Ctrl-B D. Reconnect later:

agentorchestr --list-sessions
agentorchestr --resume <session_id>

---

How it works

1. Lead agent runs in tmux pane 0 with an MCP server on 127.0.0.1:<random-port>.
2. The lead calls spawn_worker(task, perspective) → agentorchestr creates a git worktree on a fresh branch and launches a worker agent in a new pane.
3. Workers write WORKER_DONE: <summary> (and a .agentorchestr/done.flag file) when finished. The lead reads their output via read_worker_output.
4. The lead calls verify() then mark_goal_done(summary) to end the session.

Worker perspectives

Perspective	Role
implementer	minimal-diff code change
tester	tests for success + at least one failure mode
reviewer	numbered concerns with file:line
security	auth / injection / secrets / crypto only
performance	N+1, quadratic loops, sync I/O on async paths
verifier	runs the FULL suite + linters, no shortcuts
researcher	gathers external facts; produces no patches

MCP tools exposed to the lead

spawn_worker · read_worker_output · send_to_worker · wait_for_worker · list_workers · kill_worker · cross_review · verify · report_progress · mark_goal_done · mark_goal_failed · list_perspectives · discover_running_agents · send_to_external_agent · read_from_external_agent · web_research · compact_session · clear_tool_results

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Filesystem layout

Follows the XDG Base Directory spec.

Scope	Path	Holds
Global state	$XDG_DATA_HOME/agentorchestr/ (~/.local/share/agentorchestr/)	state.db, skills/, memory/
Global config	$XDG_CONFIG_HOME/agentorchestr/ (~/.config/agentorchestr/)	global hooks / overrides
Per-project	<project>/.agentorchestr/	PROJECT.md, CONVENTIONS.md, memory/, hooks.json
Per-session	/tmp/agentorchestr-<sid>/	prompt files, progress log

Existing ~/.agentorchestr/ installations keep working — agentorchestr never silently moves your data.

Per-project context

agentorchestr --init creates:

.agentorchestr/
├── PROJECT.md       # stack, architecture, verify commands
├── CONVENTIONS.md   # style, naming, test rules
├── hooks.json       # lifecycle hook commands
├── memory/
│   ├── topics/      # learned topic notes (auto-indexed)
│   ├── episodes/    # per-session journals
│   └── research/    # cached web-research payloads (24h TTL)
└── skills/          # project-pinned skills (override globals)

PROJECT.md and CONVENTIONS.md are auto-loaded into the cacheable preamble of every session. Keep them short — every byte is re-paid on every turn.

---

Cross-terminal worker pool

Wrap any CLI agent so agentorchestr can find and drive it from another terminal:

# Terminal 1
agentorchestr-shim kiro chat

# Terminal 2
agentorchestr-shim claude

# Terminal 3
agentorchestr --goal "build the auth module"

Three discovery layers run in order:

1. mDNS via _agentorchestr-agent._tcp.local. (requires zeroconf extra)
2. Filesystem cards under $XDG_RUNTIME_DIR/agentorchestr-agents/
3. tmux pane scan as a last resort (send-keys only, no structured RPC)

---

Skills

Skills are git-clone-able bundles (instructions + optional ed25519 signature) that auto-inject into matching worker prompts.

agentorchestr --skill-add github.com/<author>/<skill-name>
agentorchestr --skill-list
agentorchestr --skill-verify <skill-name>
agentorchestr --skill-remove <skill-name>
agentorchestr --goal "..." --require-signed-skills   # production

A skill directory:

~/.local/share/agentorchestr/skills/<skill-name>/
├── skill.toml         # name, version, triggers (keywords + file_globs)
├── skill.md           # markdown injected into matching workers' prompts
├── signature.sig      # optional ed25519 signature
└── signing-key.pub    # optional public key

---

Dashboard

agentorchestr --dashboard   # http://localhost:3000

Endpoints: /api/sessions, /api/sessions/<id>, /api/sessions/<id>/workers, /healthz, /api/docs. Auto-refreshes every 5s.

---

CLI reference

Flag	Purpose
--goal "..."	one-shot goal (auto mode)
--goal-file PATH	read goal from a UTF-8 file
--interactive	paste a multi-line goal (/end to submit)
--manual --task "..."	single agent, single task, no supervisor
--agents NAME [...]	restrict to these agent names
--lead NAME	force a specific lead (must be in --agents)
--init [--init-force]	scaffold this project's .agentorchestr/
--detect	show installed agents + LLM keys + deps
--list-sessions	recent sessions, resumable ones flagged
--resume <id>	pick up a paused or crashed session
--dashboard	run the FastAPI dashboard
--attach / --no-attach	force / suppress auto-attach to tmux
--skill-add/list/verify/remove	skill marketplace
--require-signed-skills	refuse unsigned skills
--doctor	comprehensive health check (exit 0 = healthy)
--version	print version and exit

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Security model

• --dangerously-skip-permissions is passed to Claude/OpenClaude/Amp automatically. This is intentional — the supervisor drives the agent non-interactively and needs it to accept tool calls without prompting. Only run agentorchestr in projects you trust.

• Worker prompts are written to files inside each git worktree and fed to agents via bash -lc 'agent "$(cat prompt_file)"'. The $(cat …) substitution is literal — shell metacharacters inside the prompt are NOT re-evaluated (verified).

• MCP server binds to 127.0.0.1 only. The port is random and written to the agent's MCP config file for the duration of the session.

• Skills with --require-signed-skills are verified against an ed25519 public key bundled in the skill directory. Unsigned skills are allowed by default; use the flag in production.

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Known limitations

• tmux required for the full multi-pane UX. Without tmux, --manual mode still works via subprocess.
• Max 5 panes per tmux window (1 lead + 4 workers). Past that, workers spill into agentorchestr-2, agentorchestr-3, … windows automatically.
• MCP required for auto mode. Install with pip install 'agentorchestr[mcp]'.
• Hosted LLM keys are needed for the router (planning/compression). The agents themselves use their own auth.
• Linux / macOS only. Windows is not supported (PTY + tmux dependency).

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Requirements

• Python 3.11+
• tmux 3.0+ (recommended)
• git (for worktrees)
• Optional: zeroconf, sqlite-vec, fastembed, ddgs, cryptography or pynacl

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License

MIT.