Mini Agent is a compact, production-oriented demo that illustrates how to build agents with MiniMax-M2 and MCP tools, including persistent memory and skill integrations.
Overview
Mini Agent, provided by MiniMax-AI, is a demonstration project that presents the core execution pipeline and engineering best practices for agents. It includes a daemon, CLI, configuration templates and a set of built-in skills (e.g., document generation, web retrieval). The repo offers a Quick Start for fast trials and a Development Mode for contributors and customizations.
Key Features
- Complete execution loop: reliable implementation of tool invocation, thought-action cycles, and result handling.
- Persistent memory: Session Note tool preserves important information across sessions.
- Intelligent context management: automatic summarization of conversation history to handle long-running tasks.
- Claude Skills & MCP integration: ships with multiple professional skills and native MCP tool support.
Use Cases
- Teaching & examples: a clear, minimal codebase for learning agent design patterns.
- Prototyping & PoC: quickly build task automation and document-generation applications using MiniMax-M2.
- Integration testing: validate interactions between MCP, skills, and external LLM services (MiniMax platform).
Technical Details
- Supports Anthropic-compatible APIs and MiniMax-M2, with configurable quick-start and development workflows.
- Provides CLI tools and configuration templates for local and production deployment.
- Includes comprehensive tests (unit, functional, integration) to facilitate engineering maturity and quality assurance.