#818 · Primary category: AI Agents & Automation

Mini-Agent

agent llm minimax

A minimal yet professional single agent demo project that showcases the core execution pipeline and production-grade features of agents.

Project last updated:02/14/26

GitHub Stars

3.0K

Forks

439

Contributors

11

License

MIT

Why we included this project

This demo is a useful study piece if you are building a production-style single agent rather than wiring up a toy. It walks through a complete agent loop, from tool selection to shell and file-system actions to request and response logging, so you can see how a real codebase organizes those pieces. Because it runs on MiniMax's M2.5 model through an Anthropic-compatible API, it is also a practical reference for an API that supports interleaved reasoning on long tasks. The 15 bundled skills for documents, design, testing, and development, plus MCP integration for knowledge graphs and web search, push it beyond a bare loop. For a team figuring out how to structure its own agent or benchmark against MiniMax's approach, it is a compact, readable baseline you can actually run.

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