Multi-Agent ColComp is an extensible, open-source framework for orchestrating a team of AI agents to work together on complex tasks. Developers can define distinct agent roles, configure communication channels, and share contextual data through a unified memory store. The library includes plug-and-play components for negotiation, coordination, and consensus building. Example setups demonstrate collaborative text generation, distributed planning, and multi-agent simulation. Its modular design supports easy extension, enabling teams to prototype and evaluate multi-agent strategies rapidly in research or production environments.
Multi-Agent ColComp Core Features
Agent orchestration and lifecycle management
Role assignment and task delegation
Inter-agent communication protocols
Shared memory/context store
Plugin architecture for extensions
Sample scenarios for text generation, planning, and more
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