AI Agent Tools

4 open source tools compared. Sorted by stars. Scroll down for our analysis.

Tool	Stars	Velocity	Language	License	Score
oh-my-claudecode Teams-first Multi-agent orchestration for Claude Code	33.5k	+826/wk	TypeScript	MIT License	85
multica The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.	27.5k	+2475/wk	TypeScript	-	71
MiroFish-Offline Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.	2.2k	+44/wk	Python	GNU Affero General Public License v3.0	63
claude-peers-mcp Allow all your Claude Codes to message each other ad-hoc!	2.0k	+18/wk	TypeScript	MIT License	68

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Our Analysis

oh-my-claudecode33.5k★

oh-my-claudecode is a plugin that turns Claude Code into a multi-agent team coordinator. You define a pipeline of specialized agents (planner, reviewer, tester) and let them pass work between themselves without you driving each step. MIT-licensed, installs through the Claude Code marketplace or as an npm CLI. No server to run. It lives inside your Claude Code session and extends the built-in agent tool. "Autopilot" mode runs tasks end-to-end. "Ralph" mode cycles through review loops. If you have Gemini or Codex CLIs installed, it routes compatible work to them to save Anthropic tokens. Solo developers get a structured way to run long-running tasks without micromanaging each step. Small teams get a shared pattern for agent pipelines instead of everyone rolling their own. There is no paid tier and no cloud version. The catch: it is moving fast, so breaking changes happen. Multi-agent pipelines also burn tokens faster than a single prompt, and if you do not trust the autopilot, you will review more code than you write.

multica27.5k★

Multica turns AI coding agents into actual team members. Assign GitHub issues to agents like Claude Code, Codex, or OpenCode and they autonomously write code, report progress, and submit results. A task board for humans and AI agents working side by side. The platform runs a Next.js frontend with a Go backend and PostgreSQL. Self-hosting is the real play here: Apache 2.0 license, Docker Compose setup, and full control over your agent compute. WebSocket updates give you live visibility into what each agent is doing. The skill compounds system lets you build reusable instructions that agents share across tasks. Development teams already using AI coding agents benefit most. Teams juggling multiple agents across repos who want a unified dashboard instead of terminal tabs will find Multica fills that gap. Solo developers probably don't need the orchestration layer. The catch: the managed cloud pricing isn't published, and self-hosting means running Go, Postgres, and the agent runtimes yourself. You also need API keys for each AI provider your agents use.

claude-peers-mcp2.0k★

Claude-peers-mcp is an MCP server that lets multiple Claude Code instances message each other in real time. If you run parallel Claude sessions (one on the frontend, one on the backend, one writing tests), this creates a direct communication channel between them so they can coordinate without you copy-pasting context between terminals. The way it works: you spin up the MCP server, connect each Claude Code instance to it, and they can send and receive messages from each other ad-hoc, like a group chat between your AI assistants. One session can ask another about an API contract it just wrote, or flag a dependency change that affects the other's work. It removes you as the bottleneck in multi-agent workflows. The catch: very new and tightly coupled to Claude Code's MCP ecosystem. It does not work with other AI agents or coding assistants. Coordinating AI sessions is still experimental territory, so expect rough edges and limited documentation. If you only run one Claude session at a time, you do not need this.