Harness LLMs with Multi-Agent Programming
-
Updated
Jul 2, 2024 - Python
Harness LLMs with Multi-Agent Programming
Contains simulation and visualization tools for the 3DCHESS IAST project
A fast and lightweight framework for creating decentralized agents with ease.
Code package for the PhD thesis of Michael Oesterle.
🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
[ACL 2024] Official code for "IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation" (TheatreMaker)
Build high-performance AI models with modular building blocks
Task allocation of stochastic multi-agent systems with signal temporal logic
🤯 Mindstorm in Natural Language-based Societies of Mind
A Python package that interfaces navground with gymnasium to apply IL and RL to navigation.
It automatically describes images in PDF files and generates questions from these descriptions. With its advanced RAG structure, it directs these questions directly to PDF text content, providing comprehensive information extraction and analysis.
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.
an open-source tool for the multi-agent-based development and testing of local energy market applications
Open-ended wargames with large language models
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
ML.GUIDE is a Multi-LLM Agent System designed to help professionals define, evaluate, and solve machine learning problems. It leverages specialized AI agents for tasks like problem definition, data assessment, model recommendations, research, and code generation. Developed in 17 hours during the AI National Summit (AINS) hackathon on June 9, 2024.
Multi-Agent LLM System for Blogging using Crew AI
TreeInstruct is a novel method that uses state space estimation and dynamic tree-based questioning for multi-turn Socratic instruction, applied to code debugging.
Flask based REST API for experimenting with multi-agent systems that support data analysis and visualization
A tool for aggregating and plotting MARL experiment data.
Add a description, image, and links to the multi-agent-systems topic page so that developers can more easily learn about it.
To associate your repository with the multi-agent-systems topic, visit your repo's landing page and select "manage topics."