Mini Agent

One-Minute Overview#

Mini Agent is a minimal yet professional demo project that showcases the best practices for building agents with the MiniMax M2.1 model. Leveraging an Anthropic-compatible API, it fully supports interleaved thinking to unlock M2's powerful reasoning capabilities for long, complex tasks.

Core Value: Provides a complete and reliable foundation with persistent memory and intelligent context management capabilities.

Quick Start#

Installation Difficulty: Low - Quick Start mode allows you to use the tool without cloning the repository or modifying code

# Install directly from GitHub
uv tool install git+https://github.com/MiniMax-AI/Mini-Agent.git

# Run setup script (automatically creates config files)
# macOS/Linux:
curl -fsSL https://raw.githubusercontent.com/MiniMax-AI/Mini-Agent/main/scripts/setup-config.sh | bash

# Windows (PowerShell):
Invoke-WebRequest -Uri "https://raw.githubusercontent.com/MiniMax-AI/Mini-Agent/main/scripts/setup-config.ps1" -OutFile "$env:TEMP\setup-config.ps1"
powershell -ExecutionPolicy Bypass -File "$env:TEMP\setup-config.ps1"

Is this suitable for my scenario?

• ✅ Rapid Prototyping: Get started building AI agent applications without complex setup
• ✅ Learning Agent Development: Clear code structure and examples perfect for learning and extending
• ✅ Document Processing: Integrated with 15 professional skills for documents, design, testing, and development
• ❌ Need for completely custom architecture: Built on MiniMax and Anthropic, not suitable for other model architectures

Core Capabilities#

1. Complete Agent Execution Loop#

• Includes a basic toolkit for file system and shell operations, providing a reliable foundation for agent execution Actual Value: Developers can quickly build AI agent applications with complex task processing capabilities

2. Persistent Memory System#

• An active Session Note Tool ensures the agent retains key information across multiple sessions Actual Value: The agent can remember user preferences and context, providing a coherent interaction experience

3. Intelligent Context Management#

• Automatically summarizes conversation history to handle contexts up to a configurable token limit, enabling infinitely long tasks Actual Value: Maintains context coherence even in long conversations, handling complex tasks effectively

4. Claude Skills Integration#

• Comes with 15 professional skills for documents, design, testing, and development Actual Value: No need to implement professional functions from scratch, directly use pre-built advanced capabilities

5. MCP Tool Integration#

• Natively supports MCP for tools like knowledge graph access and web search Actual Value: Easily extend agent capabilities to access external information and perform more complex operations

6. Comprehensive Logging#

• Detailed logs for every request, response, and tool execution for easy debugging Actual Value: Quickly identify issues, optimize agent performance, and ensure system reliability

7. Clean & Simple Design#

• A beautiful CLI and a codebase that is easy to understand, making it the perfect starting point for building advanced agents Actual Value: Reduces learning curve, improves development efficiency, suitable for developers of all skill levels

Technical Stack & Integration#

Development Language: Python Main Dependencies: uv (package manager), tiktoken (tokenization), pyyaml (configuration), httpx (HTTP client), pydantic (data validation), prompt-toolkit (CLI interface), mcp (Model Context Protocol) Integration Methods: CLI tool, API interface, ACP (Agent Communication Protocol) support for Zed editor integration

Ecosystem & Extensions#

• Plugins/Extensions: Supports various tool extensions through MCP protocol, such as knowledge graph access, web search, etc.
• Integration Capabilities: Supports integration with code editors like Zed through ACP protocol for seamless development experience

Maintenance Status#

• Development Activity: Actively maintained with continuous updates and community support
• Recent Updates: Project has recent release versions, indicating active development
• Community Response: Provides official community channels (WeChat group) for getting help and sharing ideas

Commercial & Licensing#

License: MIT

• ✅ Commercial Use: Allowed
• ✅ Modification: Allowed
• ⚠️ Restrictions: Must include original license and copyright notice

Documentation & Learning Resources#

• Documentation Quality: Comprehensive
• Official Documentation: Includes Development Guide, Production Deployment Guide, Quick Start Guide
• Example Code: Provides usage examples and demo GIFs showing agent execution, Claude skill usage, and web search capabilities