crypto-agent-framework

Agentis Framework v0.1

Current Architecture Overview

Core Components

Agentis Framework

A TypeScript framework for building sophisticated multi-agent systems with LLM integration, specializing in crypto market analysis and research.

Features

• 🤖 Multi-agent Collaboration System

  • Agent-to-agent communication
  • Specialized agent roles (Market Research, Technical Analysis)
  • Task sharing and delegation

• 🧠 Advanced Memory Management

  • Vector-based memory storage using Supabase
  • Short-term and long-term memory systems
  • Context-aware responses

• 🛠️ Modular Tool Architecture

  • WebSearchTool with Tavily API integration
  • OpenRouterTool with Claude-3 integration
  • Extensible tool registry system

• 🔄 Real-time Market Analysis

  • Live web search capabilities
  • Market trend analysis
  • Fundamental and technical analysis

• 💾 Persistent Storage

  • Supabase integration
  • Message history tracking
  • Agent state persistence
  • Vector-based memory storage

Quick Start

Coming soon

Architecture

• Agent System: Configurable agents with specialized roles
• Memory System: Vector-based storage with short/long-term memory
• Tool System: Modular and easily extensible
• Runtime: Manages agent lifecycle and inter-agent communication

Contributing

• Fork the repository
• Create your feature branch (git checkout -b feature/amazing-feature)
• Commit your changes (git commit -m 'Add amazing feature')
• Push to the branch (git push origin feature/amazing-feature)
• Open a Pull Request

Security

⚠️ Never commit API keys or sensitive data. Use environment variables.

License

MIT License - see the LICENSE file for details

Roadmap

• Add more specialized market analysis tools
• Implement sophisticated inter-agent communication patterns
• Add automated trading capabilities
• Enhance memory management with better context handling
• Add monitoring and observability features

Environment Requirements

• Supabase project with vector extension
• OpenRouter API key
• Node.js environment
• TypeScript support

Configuration Requirements

Next Steps

• Implement the Tool Orchestrator for better tool management
• Add the Runtime environment for agent lifecycle management
• Enhance memory management with better context handling
• Implement sophisticated inter-agent communication
• Add monitoring and observability features

Would you like me to elaborate on any of these aspects or provide implementation details for the next steps?