Skip to content

Introduction

SkinFlow is a flexible flow engine for intelligent multi-agent applications that supports complex task decomposition, intelligent planning, memory management, and tool integration.

What is SkinFlow?

SkinFlow is designed to provide developers with a powerful framework for building sophisticated AI applications that can:

  • Decompose complex tasks automatically into manageable subtasks
  • Coordinate multiple specialized agents to work together efficiently
  • Maintain context and memory across interactions
  • Integrate various tools and APIs seamlessly
  • Process information in real-time with streaming capabilities

Key Features

🧠 Intelligent Multi-Agent System

  • Planning Agent: Automatically breaks down complex tasks and creates execution plans
  • Professional Sub-Agents: Specialized in research, programming, data analysis, content creation
  • Intelligent Coordination: Automatically selects the most suitable agents for specific tasks
  • Context Isolation: Ensures secure collaboration between agents

💾 Advanced Memory System

  • Short-term Memory: Session context and temporary information management
  • Long-term Memory: Persistent knowledge storage and historical records
  • User Preferences: Personalized settings and habit learning
  • Semantic Search: Vector-based intelligent memory retrieval

🛠️ Unified Tool System

  • YAML/XML Tool Definitions: Declarative tool configuration, easy to extend
  • Virtual File System: Secure file operation environment
  • MCP Protocol Support: Standardized tool integration
  • Custom Tools: Flexible tool development and integration mechanism

🔄 Stream Processing Engine

  • Asynchronous Stream Processing: High-performance concurrent execution
  • Real-time Response: Supports streaming output and real-time feedback
  • Workflow Orchestration: Intelligent management of complex workflows

🛡️ Enterprise-Grade Reliability

  • Degradation Mechanism: Multi-layer error recovery strategies
  • Circuit Breaker: Automatic fault isolation and recovery
  • Health Monitoring: Real-time system status tracking
  • Detailed Logging: Complete debugging and audit information

Who Should Use SkinFlow?

SkinFlow is designed for developers and organizations that need to:

  • Build intelligent assistants and chatbots
  • Create automated workflow systems
  • Develop content generation applications
  • Implement data analysis pipelines
  • Construct multi-agent AI systems

Architecture Overview

┌─────────────────────────────────────────────────────────────┐
│                    SkinFlow Framework                        │
├─────────────────────────────────────────────────────────────┤
│  Multi-Agent System                                         │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐         │
│  │ Planning    │  │ Sub-Agents  │  │ Coordination│         │
│  │ Agent       │  │ Manager     │  │ System      │         │
│  └─────────────┘  └─────────────┘  └─────────────┘         │
├─────────────────────────────────────────────────────────────┤
│  Core Services                                              │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐         │
│  │ LLM         │  │ Memory      │  │ Tool        │         │
│  │ Abstraction │  │ System      │  │ Registry    │         │
│  └─────────────┘  └─────────────┘  └─────────────┘         │
├─────────────────────────────────────────────────────────────┤
│  Infrastructure                                             │
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐         │
│  │ Fallback    │  │ Virtual     │  │ Stream      │         │
│  │ Manager     │  │ FileSystem  │  │ Engine      │         │
│  └─────────────┘  └─────────────┘  └─────────────┘         │
└─────────────────────────────────────────────────────────────┘

Next Steps

Community

  • GitHub Issues: Report bugs and request features
  • GitHub Discussions: Join community discussions
  • Documentation: Complete documentation and guides

License

SkinFlow is released under the MIT License. See the LICENSE file for details.

Released under the MIT License.