Zen
Orchestrates multiple AI models to provide enhanced code analysis, problem-solving, and collaborative development within CLI-based AI agents.
소개
Zen functions as a Model Context Protocol (MCP) server that empowers CLI-based AI agents, such as Claude Code, Gemini CLI, or Codex CLI, to access and orchestrate a diverse team of AI models. It facilitates true AI collaboration with seamless conversation continuity, enabling complex workflows like multi-model code reviews, automated planning, and pre-commit validation to occur within a single, continuous conversation thread. By allowing models to 'remind' each other of past context and delegating subtasks based on their specific strengths, Zen ensures thorough analysis, extends context windows beyond individual model limits, and keeps the user in full control of their AI development team.
주요 기능
- Multi-Model Orchestration and Automatic Model Selection
- Extended Context Windows by delegating to models with larger capacities
- Support for multiple AI providers including local models like Ollama
- 1 GitHub stars
- Comprehensive suite of core tools for code analysis, planning, and debugging
- Context Revival Magic for conversation continuity across AI context resets
사용 사례
- Planning complex projects and migration strategies with consensus building from multiple AI experts
- Systematic debugging and root cause analysis with hypothesis tracking and confidence levels
- Performing professional, multi-pass code reviews with insights from multiple AI models
