OpenTelemetry Instrumentation for AI Observability
GAIA is your open-source proactive personal assistant for productivity
Based on the large model development framework of langchain, LangGraph is integrated to create a scalable workflow architecture. RAG。基于langchain的大模型开发框架，集成LangGraph创建一个可扩展的工作流架构，RAG：结合检索向量知识库（Milvus），增强模型的知识检索能力，支持ChatGLM & OpenAI大语言
A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
Demo implementation of a reactive multi agent bot that can answer questions based on relational database information to demonstrate different architecture pattern.
🔍 Fully local deep web research assistant powered by Ollama LLMs. Conducts iterative research cycles with intelligent query generation, web search, and comprehensive summarization using LangGraph.
CLI and Flask‑based web application that transforms plain‑English prompts into production‑ready, multi‑agent AI workflows. It generates native YAML for IBM WatsonX Orchestrate, Python code for CrewAI, CrewAI Flow, LangGraph, or ReAct, and includes a built‑in FastAPI MCP server wrapper for seamless deployment to the MCP Gateway.
Multi-agent AI assistant platform with specialized agents for coding, finance, news, real estate, travel, image generation, and shopping.
agentic-cicd is an AI-powered multi-agent system that automates GitLab CI/CD workflows using natural language. Built with LangGraphJS, it connects to GitLab via OAuth, interprets user intent, generates pipelines, and executes deployments — all orchestrated by autonomous AI agents and backed by a GitLab MCP server.
AI onboarding assistant for communities using LangGraph, Gemini, and ChromaDB. Answers questions with RAG, scores new applications from Google Sheets, and runs in a Gradio UI. Demonstrates tool use, prompt design, and stateful agent logic.
A scalable AI chatbot platform built with FastAPI and LangGraph, featuring multi-agent orchestration, multi-tenant vector storage, cross-chat memory, and voice call capabilities through LiveKit integration.
A production-ready, scalable AI chatbot platform showcasing modern microservices architecture, real-time streaming, secure service orchestration & advanced Retrieval-Augmented Generation pipelines. It emphasizes robust infrastructure engineering with API gateway, resilient Go & Python backend services, containerized deployment, and observability
Multi agent automatically reviews Python code for security vulnerabilities, performance bottlenecks, stylistic errors, and semantic issues.
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