Langchain agents

AI-powered CLI research agent that searches the web, collects sources, and generates concise summaries with references using LangGraph, Tavily, and an OpenAI-compatible LLM.

RAG-based Healthcare Clinic Assistant using LangGraph, LangChain, Groq (Llama-3.3) & Pinecone — with hybrid retrieval, safety guardrails, and multi-turn memory.

This implements a real-world AI agent system that handles end-to-end business workflows.

MPP is a multi-platform content publishing system for creators and operations teams. It helps manage content projects, platform-specific adaptation, publishing status tracking, and AI-assisted processing from a unified workspace.

AI system discovery and risk mapping for agentic architectures. Generates CycloneDX AIBOMs with topology and risk classification.

🚀 Transform your skills with 70 hands-on projects in Generative AI, guiding you from beginner to production-ready architect with real-world applications.

OpenAI-compatible HTTP server wrapping the Cursor Python SDK. Point any OpenAI client at localhost and use Cursor’s frontier models — with streaming, stateful sessions, thinking/reasoning support, and Docker. Works with LangChain, LiteLLM, and Open WebUI out of the box.

An AI-powered Sales Intelligence platform that analyzes leads, generates insights, scores opportunities, and creates personalized cold emails using LLMs.

CHEMON - 化工过程多智能体整体编排系统 | A multi-agent collaborative system for chemical process control

Production-grade multi-agent AI automation platform — LangGraph orchestration, FastAPI, PostgreSQL, Redis, Celery, circuit breakers, structured logging (structlog)

A full-stack RAG demo you can run locally or deploy to a VPS: upload a PDF, build a per-browser vector index (FAISS), chat with an LLM using retrieved context. The UI is a React + TypeScript SPA; the API is FastAPI + LangChain with a multi-agent pipeline, Sentry tunneling, & sensible production defaults (CORS, rate limits, session disk cleanup)

AI Business Analyzer is an autonomous AI agent that turns a business idea into a structured strategic report, covering market research, competitor analysis, and growth strategy, powered by Gemini, live web search, and persistent memory.

Shopping AI assistant with recipe tools, product search, and semantic caching for grocery e-commerce.

Plan a complete India trip from one search — live flights, trains, hotels, and an AI-built itinerary, with a trip-aware assistant. Flask + vanilla JS + MongoDB, async cross-provider orchestration, Google Gemini.

Native C++17 AI agent runtime — local-first, embeddable, MCP-native. Tool-calling, memory, and an async agent loop that runs where Python can't: ROS2, game threads, drones, HFT.

AI chat agent that connects Shopify, Meta Ads, Google Ads/Analytics/Search Console and SEMrush so marketers can ask questions in plain language.

AI-powered interview preparation platform built with LangGraph, RAG, FastAPI, and MCP. Simulates adaptive technical interviews, evaluates answers, and generates personalized study insights.

The open interoperability layer for AI agents. Connect your favorite agents and harnesses. Work together.

AI Agent Chat Starter kit (powered by the Apache ECharts, tables, Mermaid flow diagrams, code blocks). Built using Laravel, Vue, N8N. Compatibale with any agentic framework: LangChain, PydanticAI, NeuronPHP, etc

AI Engineering 实战学习仓库

The web stage for your LangGraph agent — self-hosted chat UI, file browser, canvas, and task board (MIT)

LLM + RAG system for querying HPC platform documentation and codebase — document crawling, chunking, embeddings, vector search, and LangChain-based retrieval-augmented generation.

Define LangGraph agent workflows in JSON. DLG handles validation, compilation, resilience, and execution — no hardcoded graph topologies required.

ИИ-ассистент для 1С:Предприятия. Расширение конфигурации (CFE) с чат-интерфейсом, on-premise Go-шлюзом, поддержкой LLM (OpenAI, Ollama) и MCP.

W-Agent 是一个生产级 Python 智能体开发框架，学习 Spring 架构思想，为复杂 Agent 应用提供企业级基础设施。内置 IoC 容器（三级缓存解决循环依赖）、声明式 AOP 切面、重试/断路器弹性模式，以及 Wasm/nsjail 双重沙箱安全执行环境。支持配置热更新、分布式锁、OpenTelemetry 可观测性与 FastAPI 无缝集成，并兼容 LangChain 工具生态。无需从头搭建脚手架，W-Agent 让智能体应用具备高内聚、易测试、可运维的工业化特质。

Turn a topic into a real, verified course — an agentic course-synthesis engine with deterministic prerequisite-ordering and claim-grounding moats.

🤖 Leverage dual AI models to generate precise and thoughtful responses using a flexible backend, enhancing interaction quality and reliability.

LangChain, LangGraph & Deep Agents

Praison is a production-ready framework for building multi-agent AI systems that enables intelligent agents to collaborate, reason, self-reflect, and use tools to automate tasks, with support for over 100 LLMs and flexible workflows for both code and no-code usage.

Agentic RAG assistant untuk tanya-jawab dokumen PDF pipeline retrieve-grade-generate berbasis LangGraph

RAG answers you can verify — citations, faithfulness checks, exportable evidence reports

Cross-tool plugin marketplace for deepagents-code (dcode), Claude Code, and OpenAI Codex — LangChain & LangSmith skills and MCP servers

Step-by-step RAG tutorial for legal contract analysis — chunking, embeddings, BM25, hybrid search and Claude-based danger scoring, built from scratch without LangChain.

A local AI research assistant with streaming chat, Hybrid RAG, and document search.

SOC agent that ingests security logs, detects attacks mapped to MITRE ATT&CK, and uses an LLM grounded in a RAG knowledge base to analyze and recommend remediation, with human approval and rollback built in. FastAPI/Postgres backend, React frontend. Runs fully offline, no API keys needed.

AI buddy that reviews your GitHub Pull Requests.

AI-powered GitHub repository analyzer that ingests full codebases, enables codebase-wide chat, detects bugs, and suggests optimizations using RAG (LangChain + FAISS + OpenRouter) with a Streamlit UI.

MIF — Memory Interchange Format. A vendor-neutral JSON schema for portable AI agent memories. Convert between mem0, CrewAI, LangChain, and more.

In an industry where personalization is key to customer satisfaction, your company wants to revolutionize how clients interact with real estate listings. The goal is to create a personalized experience for each buyer, making the property search process more engaging and tailored to individual preferences.

Multi-Agent AI with CrewAI | AI leveraging System 2 Thinking for intelligent decision-making. Scalable, adaptive, and efficient multi-agent collaboration for real-world applications.

Experimenting with langchain document QA with a set of PDFs

RAG powered PDF Q&A with source citations. LangChain, FAISS and LLaMA 3.3 via Groq

This is the Rust language implementation of LangChain, The easiest way to write LLM-based programs in Rust

An agentic multimodal RAG assistant with voice queries, PDF/image understanding, web search, and grounded answers.

Bring Your AI Agent Live Resources! AI Agent MCP Skills Deployment Templates LangChain/ChatGPT Apps/Claude SubAgents/Agentscope and more Development

AI agent with conversational memory, RAG, multi-provider voice (STT/TTS), Gmail + IMAP email integration, and agentic tool use

📄 Automate contract review for Global Mobility with AI; extract key data, generate clear insights, and produce professional Excel reports.

CleverCall utilizes Cloudflare's AI for function calling, fetching dynamic data from APIs like GitHub and Yahoo Finance.

基于 AI Agent 的车载智能氛围编排系统，通过环境感知驱动"时空叙事"体验。

A simple ai agent build with embedding, rag, memory etc. you can get inspired if you want to dive into agent career. it is very simple to learn.

An example application that exposes a multi-step, quality-controlled LLM workflow built with LangGraph through a FastAPI service.

Modular framework for building topic-specific advisors powered by large language models, using LangChain, LangGraph, and Pydantic.

jingu-trust-gate – deterministic admission layer that blocks LLM hallucinations from becoming system state

VTuber data visualization site with ETL pipeline and AI agent

A Python Interface to macOS Accessibility API for UI Automation and AI Agents.

🚀 Automated Code Correction Framework An AI-powered debugging tool that: ✅ Captures and logs errors from executed programs ✅ Analyzes errors and provides explanations with real-world examples ✅ Automatically corrects faulty code using LLMs (Google Gemini, OpenAI, Claude, etc.). Built with Python and LangChain.

Recruitment.ai is a part of refhired.com for ai based filtering resumes / cv and using agentic ai workflow for more advance tasks.

30-day challenge: AWS (Chandana) + Agentic AI (Punith). Daily notes, working code, and the beginner-to-advanced gotchas tutorials skip — Lambda, IAM, RAG, MCP, Bedrock, LangChain, and more.

Co-Op is local-first business management software for company planning, research, files, customer work, and operational decisions. The installed desktop app owns the business workspace. The cloud backend owns account identity and license entitlement.

Official MCP server for Agent payment infrastructure for AI agents. MCP server for autonomous stablecoin transfers, currency swaps & agent wallets. Works with Claude, LangChain, CrewAI. Settled on Hedera.

🤖 Automate job applications with a multi-agent system that uses Kafka for seamless data ingestion and efficient document preparation.

Passport & visa system for AI agent credentials. Detect, classify, and govern API keys, tokens, and secrets across MCP, OpenAI, Anthropic, LangChain, and more. Encrypted vault, policy engine, audit trails, delegation chains. Drop-in MCP server replaces plaintext credential storage.

A hands-on guide to building and orchestrating AI agents with LangGraph and CrewAI, from fundamentals to deployment with FastAPI and Streamlit. Learn agent architecture, memory management, and production patterns.

This repository showcases the implementation of a Multi-Agent Research RAG (Retriever-Augmented Generation) Tool built with LangGraph.

Agent Force is a cutting-edge AI research platform that orchestrates multiple specialized AI agents to conduct comprehensive market research, competitive analysis, and strategic business insights in real-time.

Before Google integrated Gemini into Google Workspace & Gmail, I built a multi-agent AI system using CrewAI, Flask, & React. Summarizes Gmail emails, generates replies with human review, extracts AI newsletters, & posts to X/LinkedIn. Customizable, scalable, & modern.

LangGraph Memory Chatbot — Persistent Conversational AI with LangChain + FastAPI + Streamlit

Master Thesis Project about Agent and Multi-Agent Teaching Systems combined with Personal Memory

🗺️ MRRA: A Mobility Retrieve-and-Reflect Agent for Mobility Prediction.

This repository hosts a Jupyter notebook that demonstrates the seamless integration of the Bard API with the LangChain library. By leveraging the capabilities of both platforms, we've crafted a custom Language Learning Model (LLM) that allows users to harness the power of Bard within the LangChain ecosystem.

Run Ollama models on Google Colab

🎨 Create stunning product marketing visuals and content effortlessly with our multi-agent system using the Swarms framework.

Large Language Model (LLM) chatbot with a custom knowledge base

A template of AI Chatbot built with Pinecone, LangChain, HarperDB and Next.js, deployed to Vercel.

Infinite power but in a pendrive

Enhancing Text Retrieval with Metadata Filters using MongoDB and LangChain Agent

zmongo_toolbag contains an easy to use MongoDB wrapper with a Langchain Vector Search Retriever implementation

RAG with Redis. Parallel implementations with/without guardrails.

Summarizer is a command-line tool that generates comprehensive summaries of articles and other text-based content.

AI-powered medical chatbot capable of providing symptom-based advice, recommending doctors, and retrieving medical documents.

Integrate any AI agents with Solana-based protocols. (https://github.com/PingAIFun/ping-mcp)

Local-first RAG engine with cited answers from your own docs. GraphRAG, sealed sharing, MCP-native, VS Code Copilot integration. Nothing leaves your machine.

Semantic Search on Langchain Github Issues with Weaviate

Alpaca, Bloom, DeciLM, Falcon, Vicuna, Llama2, Zephyr, Mistral(MoE), RAG, Reranking, Langchain, Langsmith..

A powerful AI chatbot built with Streamlit and Groq API that combines text-based interaction, document processing, and vector search capabilities. Features include multi-format document handling (PDF, PPT, Excel) and intelligent model selection.

Text Correction Application with LangChain, LangGraph, and LLM

It is a sophisticated agent designed to meet a wide range of user needs through advanced language understanding and decision-making capabilities. Powered by Google's LLM Gemini-Pro,, this agent integrates a suite of special tools to facilitate searches across various platforms including DuckDuckGo, Wikipedia, Google Scholar and Arxiv.

Learn GenAI by integrating OpenAI GPT, Google Gemini, Ollama and HuggingFace models using LangChain, LlamaIndex and Pinecone.

(Developing) A realistic anime waifu chatbot based on Google Gemini and Langchain library.

An AI-powered code reviewer supporting multiple programming languages, including: Python, JavaScript, Ruby, Java, SQL

LangChain agent with ollama for QA your papers

Langchain agent that generates and executes Python code to interact with Airtable using the MCP code execution pattern from [Anthropic's blog](https://www.anthropic.com/engineering/code-execution-with-mcp).

LangGraph-powered conversational AI assistant — multi-turn memory, OpenRouter API, tool calling, OOP architecture. Live on Render.

The bridge between AI and your UI. Type-safe AI tool definitions with RBAC, approvals, PII protection, and UI action dispatch.

🎓 AI-powered student productivity suite: convert docs to notes, manage timetables & todos, and chat with Isabella AI using a RAG-powered knowledge assistant. FastAPI + React + MongoDB + Gemini/LongCat/GPT/Microsoft/Mistral models.

A local multi-agent RAG system where four LangGraph agents (Planner → Retriever → Critic → Synthesizer) collaborate to answer research questions from academic PDFs, with real benchmark results: 87% RAGAS faithfulness, 22pp hallucination reduction via LLM-as-judge, and 0% failure rate under Locust load testing.

This is a Streamlit app that leverages LangChain, a language processing toolchain, to generate responses based on user prompts and perform document similarity searches using Chroma.

Privacy-first local RAG app — chat with your PDFs using Ollama (llama3) + LangChain + ChromaDB + Streamlit. 100% offline, no API key needed.