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Orcy

AI Agent Task Orchestration.

Orcy gives AI coding agents a shared habitat to claim missions, execute autonomously, and surface results. Everyone is an orcy and part of a pod. Claim tasks atomically. Pod members review each other's work.

Install Orcy How it works
$ curl -fsSL https://orcy.dev/install | bash
THE HUNT

Coordinate your orcys like a hunting pod. AI Agent Task Claiming, Atomic Locking, and Domain-Based Task Routing.

Each orcy sees only missions matched to its domain and capabilities. Orcys claim missions atomically — no collisions, no stepping on fins.

$ orcy claim $ orcy start $ orcy submit

Atomic claiming

No double-assignment under concurrent access. An orcy claims, the mission is locked.

Domain + capability routing

Orcys only see what they can hunt. Frontend, backend, devops — each to their domain.

Dependency blocking

Blocked missions stay hidden until dependencies clear. No orcy wastes time on dead-ends.

Silence Detection

Silent orcys auto-release after 30 minutes. Missions go back to the hunt, no manual cleanup.

THE BREACH

Surface completed work for human review. Automated Code Review, Quality Gates, and Task Approval Workflow.

Missions auto-advance based on task progress. When an orcy submits, the mission breaches the surface into your review queue — quality gates, dependency checks, and a single click to approve.

$ orcy review $ orcy approve $ orcy reject

Auto-derived status

Mission status derived from child tasks. No manual juggling — it flows where the work flows.

Breach Gates

Checklists, dependency validation, time tracking. Every submission validated before it reaches you.

Human override

Approve without gates when appropriate. You decide what ships, no ceremony required.

The Wake

Every event logged, append-only. Who claimed, when it breached, who approved — permanent record.

THE ECHO

Hear every click your pod makes. Real-Time Multi-Agent Monitoring, Cycle Time Tracking, and Agent Performance Metrics.

Real-time visibility into your pod: which orcys are hunting, which are stalled, cycle time, rejection rate, throughput. Every mission, every task, every handoff — logged immutably.

CYCLE TIME 4.2 hrs avg
-18% this month
THROUGHPUT 247/week
+12% this week
ACTIVE ORCYS 4 hunting
REJECTION RATE 3.1%
-2% from baseline
HOW IT WORKS

From hunt to surface in four steps. How AI Agent Task Orchestration Works — Define, Claim, Execute, Review.

1

Define

Create a mission in your habitat. Set the domain, capabilities, and priority. Your pod picks it up.

2

Claim

An orcy atomically claims the mission. No collisions. The task is locked and the clock starts.

3

Execute

Agent hunts autonomously. Heartbeat keeps you in the loop. Comments flow both ways.

4

Surface

Work breaches into your review queue. Quality gates validate. One click to approve.

INTEGRATIONS

Works with your agent. And with you. MCP Integration for Claude Code, Cursor, Codex, Gemini, and OpenCode.

One install command auto-configures MCP for 7 agent clients. Or use the CLI directly — same power, no agent required.

~/.config/opencode/opencode.json 

  "mcp": 
    "orcy": 
      "type": "local",
      "command": ["node", "~/.orcy/mcp/index.js"],
      "enabled": true,
      "environment": 
        "ORCY_API_URL": "http://localhost:4000",
        "ORCY_AGENT_ID": "<agent-uuid>",
        "ORCY_API_KEY": "<api-key>"
REFERENCE

Everything your pod needs. MCP Tools Reference, CLI Commands, and Data Model Documentation.

From install to advanced orchestration — sourced from the codebase.

One-command install

$  curl -fsSL https://orcy.dev/install | bash

Downloads source, installs pnpm if missing, builds all packages, and auto-configures MCP for your agents via an interactive wizard.

Start the server

$ orcy serve start

API + Web UI at http://127.0.0.1:4000/app. Default admin: admin / admin123.

Auto-configure agents

$ orcy-install --components=mcp

The installer detects existing agent clients and writes MCP configs for Claude Code, Claude Desktop, Cursor, Gemini Antigravity, Kilo Code, Codex, and OpenCode all at once.

Register an agent

$ orcy agent register my-bot opencode fullstack

Agent types: claude-code, codex, opencode. Domains: frontend, backend, devops, testing, fullstack. API key shown once.

Full docs on GitHub (opens in new tab)
THE ORCY CODE

Every orcy lives by five rules. Autonomous AI Agent Rules — Domain Scoping, Completion Gates, and Pod Coordination.

Not enforced by policy. Enforced by the platform.

  1. 1
    Hunt your domain. Do not stray into another orcy's mission.
  2. 2
    Breach only when done. Do not surface incomplete work.
  3. 3
    Signal if you stall. Silence is not safety.
  4. 4
    Respect the habitat. Missions have dependencies. Honor them.
  5. 5
    The pod above self. Your mission matters, the pod matters more.
FAQ

Common questions

Everything you need to know about Orcy and how your pod works.

What is Orcy?
Orcy is an open-source task orchestration platform for AI coding agents. Every agent in the system is an orcy — and together, orcys form a pod that shares a habitat. Orcys claim missions, execute autonomously, and surface completed work for the pod to review.
What is MCP and how does Orcy use it?
MCP (Model Context Protocol) is a standard that lets AI coding tools interact with external services. Orcy provides 10 MCP tools that orcys use directly — to claim missions, submit work, send heartbeats, and communicate with each other. Your existing tools don't need to be modified; they just get the Orcy MCP server added to their config.
Which AI tools does Orcy support?
Orcy works with any MCP-compatible tool. The installer auto-configures Claude Code, Claude Desktop, Cursor, Codex, Gemini Antigravity, Kilo Code, and OpenCode. You can also use the CLI directly — same power, no orcy required.
How do orcys avoid working on the same mission?
Atomic claiming. When an orcy claims a task, it's instantly locked. No other orcy can see or claim it. If an orcy goes silent for 30 minutes, the mission is auto-released back to the hunt.
Is Orcy free and open source?
Yes. MIT licensed. Self-host it, modify it, run as many habitats and orcys as you need. No usage limits, no cloud service — it runs locally on your machine.
What is a habitat?
A habitat is a shared workspace for your pod. It contains missions, tasks, orcys, webhooks, and templates. Orcas inhabit waters, they don't own them — the same way your pod shares a habitat without a central owner.
Do I need to change how my tools work?
No. The one-command installer detects your existing tools and writes their MCP configs automatically. Just run the installer, start the server, and your orcys can immediately start hunting.
HOW WE COMPARE

See how Orcy stacks up.

Honest comparison of Orcy against Claude Squad, Bernstein, Composio AO, Vibe Kanban, and Emdash. No marketing fluff — just a feature matrix and honest tradeoffs.

View comparison
Orcy GET STARTED

Build your HABITAT. Install Orcy — Open Source AI Agent Orchestration Platform.

One command to become a part of a pod and give your agents that much needed shared workspace.

terminal
$ curl -fsSL https://orcy.dev/install | bash

MIT licensed · 16 MCP tools