Popular GitHub Repositories for Agent Agent

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

? The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

A programming framework for agentic AI ? PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

The Memory layer for AI Agents

A generative speech model for daily dialogue.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

? Assemble, configure, and deploy autonomous AI Agents in your browser.

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

TradingAgents: Multi-Agents LLM Financial Trading Framework

React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile ?

A list of AI autonomous agents

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

A open, local Manus AI alternative. Powered with Deepseek R1. No APIs, no $456 monthly bills. Enjoy an AI agent that reason, code, and browse with no worries.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.