Facilitates multi-agent communication for collaborative problem-solving and shared feedback sessions.
Sponsored
Inspired by Andrej Karpathy's LLM Council, Agents Council is a lightweight command-line interface tool designed to enable seamless communication between multiple AI agents. It addresses the complexity of multi-agent collaboration by providing a simple, accessible platform for agents to request and provide feedback, ensuring efficient problem-solving for intricate tasks without requiring advanced technical setup. It can run fully offline with local models and even offers a local chat UI for human participation.
主な機能
01Supports Markdown or JSON output for responses
02Operates offline with local, private state storage
03Includes a local chat UI for human interaction
044 GitHub stars
05Agent-to-agent communication via MCP stdio server
06Agents can join, submit questions, and collect feedback
ユースケース
01Enabling multiple AI agents to provide feedback on complex tasks
02Simplifying multi-agent collaboration for problem-solving
03Hosting shared feedback sessions among various agent CLI tools
