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Mini Agent is a minimal yet professional demo project that showcases the best practices for building agents with the MiniMax M2.5 model. Leveraging an Anthropic-compatible API, it fully supports interleaved thinking to unlock M2's powerful reasoning capabilities for long, complex tasks.

This project comes packed with features designed for a robust and intelligent agent development experience:

✅ Full Agent Execution Loop: A complete and reliable foundation with a basic toolset for file system and shell operations.
✅ Persistent Memory: An active Session Note Tool ensures the agent retains key information across multiple sessions.
✅ Intelligent Context Management: Automatically summarizes conversation history to handle contexts up to a configurable token limit, enabling infinitely long tasks.
✅ Claude Skills Integration: Comes with 15 professional skills for documents, design, testing, and development.
✅ MCP Tool Integration: Natively supports MCP for tools like knowledge graph access and web search.
✅ Comprehensive Logging: Detailed logs for every request, response, and tool execution for easy debugging.
✅ Clean & Simple Design: A beautiful CLI and a codebase that is easy to understand, making it the perfect starting point for building advanced agents.


Tags: ai   llm   model   agent  

Last modified 03 November 2026