Popular GitHub Repositories for Fast Agent Mcp

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.

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

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

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

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

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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.

A generative speech model for daily dialogue.

The Memory layer for AI Agents

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.

Caffe: a fast open framework for deep learning.

OpenMMLab Detection Toolbox and Benchmark

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.

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

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

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.

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Context7 MCP 服务器——关于大型语言模型 (LLM) 和 AI 代码编辑器的最新文档