Hybrid CLI Agent

About

Hybrid CLI Agent leverages a 'reading is cheap, thinking is expensive' philosophy by strategically combining various AI models. It utilizes Gemini's free tier for extensive context reading of logs, docs, and code, then delegates complex reasoning, architectural decisions, and critical coding to Claude, which is used sparingly. OpenRouter provides access to a diverse array of specialized models for second opinions and debates, ultimately enabling users to analyze entire codebases and fix complex issues at a fraction of the cost, often achieving ~90% savings compared to using a single, expensive model.

Key Features

• Multi-agent Orchestration: Intelligently routes tasks to the most cost-effective AI model, employing a supervisor loop where Claude reviews Gemini's output.
• 16 GitHub stars
• Autonomous Agent Capabilities: Empowers AI agents with file system access, shell command execution, and real-time Google Search within a secure sandbox.
• Integrated MCP Toolkit: Exposes 8 specialized tools to Claude Code, facilitating advanced autonomous agent tasks and workflow management.
• Cost-Optimized AI Engineering: Arbitrages AI model strengths, using Gemini's free tier for heavy context reading and Claude for high-value reasoning, slashing operational costs.
• Performance & Metrics: Includes response caching for Gemini and real-time token tracking for cost estimation, improving efficiency and transparency.

Use Cases

• Performing deep analysis of large codebases, logs, or documentation to extract insights and diagnose issues.
• Collaboratively drafting, reviewing, and refining code changes with AI supervision and automated testing.
• Leveraging diverse AI models for research, architectural decision-making, and obtaining second opinions on complex problems.