Core Capabilities
Everything you need to build intelligent multi-agent systems
Multi-Agent Orchestration
Visual workflow editor with ReactFlow. Define agent collaboration using drag-and-drop nodes: agents, conditions, parallel, and loops.
MCP Tool Ecosystem
Extensible plugin system enabling agents to interact with external systems โ NetLogo, GIS, code servers, and more.
Knowledge Graph Memory
Built-in LightRAG/GraphRAG/Graphiti knowledge bases with time-sensitive memory. Compatible with Dify, FastGPT, RagFlow.
Supervisor Mechanism
Automated behavior monitoring, anomaly detection, and dynamic intervention to ensure simulation quality and safety.
Dual-Engine Rules
Combines natural language and logic rule engines for both complex semantic understanding and precise computation.
Parallel Laboratory
Run controlled experiments with variable combinations to discover optimal strategies and reduce LLM unpredictability.
Development Roadmap
Continuous innovation and improvement
Core Architecture
- Dual-engine rule system
- Action space management
- Multi-agent collaboration framework
Knowledge Base Integration
- LightRAG / GraphRAG / Graphiti
- Time-sensitive memory system
Advanced Agent System
- MCP tool & plugin system
- Supervisor mechanism
- Parallel laboratory
Skill Integration
- Modular skill system
- Reusable agent capabilities
IM Integration
- Instant messaging platform integration
- Real-time agent interaction
More Entity Integration
- Broader entity type support
- Extended ecosystem connectivity
Ready to Build Your Multi-Agent System?
Get started with MesaLogo today and unlock the power of intelligent agent collaboration.