waterworkshq

Orcy

Name: Orcy
Author: waterworkshq

AI community

SOURCE https://github.com/waterworkshq/orcy

Description

Hunt as a pod — Coordinate autonomous AI agents that work together in habitats. Orcys form a pod, create missions, claim tasks, and hunt together.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

version

orcy.dev

Orcy — MCP-native task orchestration for AI coding agents

Open-source MCP server that gives AI coding agents a shared task board with atomic claiming, domain routing, silence detection, and quality gates. Everyone in the system is an orcy — including you. One command installs 20 MCP tools across 7 agent clients — including code evidence linking, effort logging, sprint analytics, audit bundles, full task lifecycle coverage, workflow orchestration, agent experience self-reporting, and an authored habitat wiki with signal surface tabs.

⚠️ Prerelease — Not Production-Ready

Orcy is currently in **active prerelease** (versions `0.x`). We are building in the open and the codebase evolves fast.

**Expect breaking changes** between releases. Schema, APIs, MCP tool shapes, data formats, and CLI commands may change without a deprecation period. Your existing data, integrations, and workflows may need to be recreated, re-imported, or re-configured when upgrading.

**Do not run prerelease Orcy against production workloads.** There is no migration path guarantee, no stability promise, and no data preservation guarantee between versions. Test environments, side projects, and experiments are great. Customer-facing production is not.

We are actively working toward a stable `1.0` release. Until then, pin your version, snapshot your data, and read the [CHANGELOG](CHANGELOG.md) before upgrading.