Our take
Activeregular commits and releases- Activity
- 80
- Community
- 73
- Issues
- 79
- Pull requests
- 77
+464 stars in the last 30 days
- Merges more pull requests than 82% of the projects we track
- Releases more often than 76% of the projects we track
Clowder AI is an actively maintained, MIT-licensed coordination layer for teams ready to organize multiple existing agent CLIs around shared work and memory.
Good fit if
- You already use supported agent CLIs and need structured routing, handoffs, or cross-model review.
- You want persistent team memory and can run a Node.js application locally; Redis is optional.
- You value an active project with regular releases, contributions from a broad contributor base, and quick reported issue and pull-request handling.
Look elsewhere if
- You want a standalone model or agent CLI rather than a platform layered over existing CLIs.
- You need a project with an explicitly reported automated test suite; the available project facts do not indicate one.
- You cannot meet the Node.js runtime requirement or do not want to configure and operate an agent team.
All health signals
| Last commit | 2026-10-27 (today) |
|---|---|
| Commits, last 90 days | 100+ |
| Releases, last 12 months | 22 (latest v0.13.0, 2026-09-02) |
| Contributors | 40 (top contributor: 33% of commits) |
| Issues closed, last 90 days | 22+ (typically closed in 1 day) |
| Pull requests merged, last 90 days | 71 (typically merged in 0 days) |
| Project age | 8 months |
Checked on 2026-10-28 with the GitHub API.
Project history
Daily GitHub snapshots since Oct 7, 2026. History covers stars and forks; health signals are not tracked historically.
Stars
3,838Forks
921Change since Nov 12, 2026: +17 stars·+2 forks
Overview
Clowder AI is a TypeScript platform layer for turning separate AI agents into a persistent team. Instead of manually routing work and copying context between agents, developers can coordinate agents through shared identity, memory, and agent-to-agent communication. It works with existing agent CLIs such as Claude Code, Codex CLI, Gemini CLI, and opencode rather than replacing them.
The project is aimed at people building or operating software with several AI agents, especially when work needs review, handoffs, or continuity across sessions. It offers a desktop installer for Windows and macOS, as well as a source-based setup that opens a local web interface.
Key Features
- Route work between supported agent CLIs, with agents retaining roles and personality across sessions.
- Enable cross-model review, such as having one agent produce work and another review it.
- Send asynchronous agent-to-agent messages with @mention routing and structured handoffs.
- Keep shared evidence, lessons, and decision logs as persistent team memory.
- Create conversation proposals that split a larger task into reviewable pieces of work.
- Steer an agent while it is replying, or bring an existing local agent session into a conversation.
- Connect MCP tools, messaging adapters, and on-demand skills through a plugin framework.
- Run scheduled tasks and respond to GitHub events to support work that continues without an operator present.
Use Cases
- A software developer can assign implementation and review to different agent CLIs when they want cross-model feedback.
- A team using agents across multiple sessions can keep decisions and lessons in shared memory instead of rebuilding context each time.
- An operator can hand off a long-running task when an agent reaches a quota limit, rather than restarting the work manually.
- A project maintainer can configure scheduled work or GitHub event responses for agent-assisted repository tasks.
What you need
Detected in the repository
- Node.js >=24.0.0 (from package.json)
- Automated checks on GitHub Actions
License in plain words
MITpermissive
- Commercial use: yes
- Modify and redistribute: yes
- You must keep: the copyright and license notice
- Share your changes: no
A summary, not legal advice: the LICENSE file is what applies.
Getting Started
The README documents a source setup with pnpm:
git clone https://github.com/zts212653/clowder-ai.git
cd clowder-ai
pnpm install
pnpm start
See the README and setup guide for prerequisites and further instructions. Desktop installers for Windows and macOS are linked from the releases page.
Alternatives
- oh-my-claudecode: It orchestrates parallel Claude Code work through in-session skills or terminal workers, rather than coordinating a broader set of agent CLIs.
- ruflo: It provides agent teams, persistent memory, workflows, and MCP integrations specifically as a Claude Code and Codex harness.
- cli-agent-orchestrator: It delegates coding tasks to agents running in isolated tmux sessions, with a supervisor managing parallel or sequential work.
- omnigent: It governs multiple coding agents through a shared harness across terminal, browser, phone, and desktop interfaces.
| Project | Language | License | Stars | Status |
|---|---|---|---|---|
| clowder-ai | TypeScript | MIT | 3.6k | Active |
| oh-my-claudecode | TypeScript | MIT | 39.6k | Active |
| ruflo | TypeScript | MIT | 73.8k | Active |
| cli-agent-orchestrator | Python | Apache-2.0 | 1.4k | Active |
| omnigent | Python | Apache-2.0 | 11k | New |
Considerations
The repository is active, with regular commits and releases, and contributions are not concentrated in one person. Its reported issue and pull-request handling is quick, though the project is still relatively young. The available project facts do not indicate an automated test suite, so teams should evaluate their own validation needs before relying on it in critical workflows.
There is a requirements discrepancy to resolve before installation: the README quick start says Node.js 20+, while the package metadata specifies Node.js 24 or later. Redis 7+ is optional, and the README says --memory can be used to skip it. The project is MIT-licensed; its README separately identifies the name, logos, and cat character designs as brand assets, with details in TRADEMARKS.md.
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