LlamaIndex is a data framework for your LLM applications
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Updated
Dec 20, 2024 - Python
LlamaIndex is a data framework for your LLM applications
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Deploy your agentic worfklows to production
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Incorporating Agile methodology into agents to create complex real-world softwares
Open-source framework to make AI agents' team collaboration as effective as human collaboration.
🔧 Repair JSON!Solution for JSON Anomalies from LLMs.
ChocoBuilder (Chocolate Factory) is a cutting-edge LLM toolkit designed to empower you in creating your very own AI assistant.Chocolate Factory 是一款开源的 LLM 应用开发框架,旨在帮助您轻松打造强大的软件开发 SDLC + LLM 生成助手。无论您是需要生成前端页面、后端 API、SQL 图表,还是测试用例数据,Chocolate Factory 都能满足您的需求。
MAGNet: Multi-agents control using Graph Neural Networks
Multi-Agents & Plugins repo for DB-GPT, Can complete various tasks around databases.
🌟 Revolutionize Your Operations with One Sentence Automation: Utilizing large language models and Multi-Agents to generate operational copy, images, and videos with one-line requirements.
A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.
PyTorch agents and tools for (Deep) Reinforcement Learning
Swarm for Ollama. OpenAI Framework to build/orchestrate/deploy multi-agent systems. Working offline with Ollama
A powerful AI-powered newsletter aggregator built with KaibanJS and React.
An Agent-Based Financial Platform. See how evolve agents in a realistic double auction order book
Cultural Palette: Pluralising Culture Alignment via Multi-Agent Palette
This repository provides a flexible and customizable implementation of an advanced conversational AI agent, allowing you to leverage the capabilities of your preferred LLM provider without the need for additional libraries.
The AdLeap-MAS project proposes a new framework for implementing and simulating Ad-hoc reasoning environments. Built 100% in Python using the Open-AI Gym as its basis, we propose a component-based architecture to enable quick implementations to perform multi-agents systems experiments.
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