Start building LLM-empowered multi-agent applications in an easier way.
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Updated
May 24, 2024 - Python
Start building LLM-empowered multi-agent applications in an easier way.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
A library for generative social simulation
A compilation of the best multi-agent papers
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
A framework for open autonomous economic agent (AEA) development - no package vendor is prioritised over other package vendors
🖌Generative UI in Golang, based on HTMX and Templ, is useful in Multi-Agent Systems.
CAMEL framework-based multi-agent system for task-driven and dynamic environments
⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, Grok, etc., chat bot demo: https://demo.casibase.com, admin UI demo: https://demo-admin.casibase.com
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
This is the repo for the team Pikachu's solution in the League of Robot Competition 2023. Our solution won the Overall Best and Fast Mover tracks and ranked second in the Line Honours track.
Automated Multi-Agent Binary Analysis Toolkit
A framework for the creation of autonomous agent services.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
A collection of MARL benchmarks based on TorchRL
Multi-Agent Combinatorial Path Finding with Heterogeneous Task Duration (MCPF-D)
Driving games common tools
Decentralized and Resilient Multi-Agent Schedulers for High-Performance Computing Clusters
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