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Offline multi-agent simulation and prediction engine using Neo4j graph database and Ollama local inference for swarm intelligence simulation.
Offline multi-agent simulation and prediction engine using Neo4j graph database and Ollama local inference for swarm intelligence simulation.
An open-source multi-agent simulation platform where multiple LLM-powered agents collaborate on complex tasks in shared environments, with customizable roles, memory systems, and environment interaction for studying multi-agent collaboration.
Latent Collaboration in Multi-Agent Systems — exploring implicit communication and coordination mechanisms for efficient multi-agent reasoning and task allocation.
LazyLLM is a lightweight multi-agent LLM application framework offering the easiest way to build multi-agent LLM apps, with built-in RAG, knowledge graph, fine-tuning, and integration with LangChain and LlamaIndex ecosystems.
ChatDev 2.0 enables full-lifecycle software development through LLM-powered multi-agent collaboration, simulating role-based teamwork in a virtual software company.