Langchain agents

QuestGen-AI is an advanced exam question generation platform that leverages AI-Agent to automatically create customized question papers from user-uploaded PDF content

Open source implementation of Anthropic's Programmatic Tool Calling

This project implements an advanced Retrieval Augmented Generation (RAG) workflow to enhance question-answering accuracy and reduce LLM hallucinations. It leverages LangGraph to create a stateful, multi-step process that includes document retrieval, relevance grading, and web search fallback.

Enterprise-grade platform to generate and execute Cypress, Playwright, WebdriverIO, and Appium end-to-end tests from natural language requirements. (Appium is experimental and requires external mobile infrastructure.)

Open-source EU AI Act compliance scanner. 51 checks across Articles 9-12, 14-15. Drop-in trust layers for LangChain, CrewAI, AutoGen, OpenAI. Local-first, no data leaves your machine.

AI harness for and with Eclipse IDE with the focus on offline LLM with llama.cpp. Build with LangChain4J. Supports Ollama, LM Studio, llama.cpp, unsloth or cloud providers like with OpenA API, Anthropic Claude, Google Gemini, Mistral, GitHub Copilot. Contributions are highly welcome!

GIS agent是一个基于 ArcGIS Pro 3.6 的 arcpy构建的开源的地理空间智能体（AI Agent）框架。其核心设计采用独特的三层抽象架构（模型抽象、输出标准化、提示词动态适配），将您的自然语言指令与底层大语言模型及专业 GIS 工具链解耦。智能体自身能通过内置的规划器、记忆系统和执行引擎，自动将复杂任务拆解为步骤，协调调用 arcpy等工具完成从数据扫描、处理、符号化到地图导出的全流程，并具备任务恢复、质量检查与报告生成等高级能力。旨在成为连接自然语言交互与自动化专业 GIS 工作流的工程化桥梁。还在早期开发阶段可能有很多问题欢迎指出！

Pause your AI agent. Ask a human. Resume with their answer. Open source human-in-the-loop (HITL) library for production LLM agents: Slack, email, and web dashboard. Typed Pydantic and Zod responses. Durable Temporal and LangGraph adapters. AI verifier. Audit trail. Self-hosted, Apache 2.0. Python and TypeScript.

Forge your own agent harness — a config-to-code generator that renders a thin, standalone Python agent harness you fully own. No LangChain/LangGraph/ADK lock-in, no dependency on the generator after generation.

Retrieval-Augmented Generation over PDFs with Google Gemini: chunking, embeddings and grounded question answering in one runnable notebook. 49,000+ views.

Vector databases for generative AI

This repository has been created to keep track of my 5 days progress.

LLMs based multi-model framework for building AI apps.

Using langchain framework created some useful Ai applications.

Lightweight, decoupled RAG evaluation scaffold (dataset → vector store → RAG workflow → evaluation) with a Qwen-based demo.

LLM as Agent

A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store

AI-powered chatbot that provides guidance using YouTube video content as a knowledge base. Built with RAG architecture using LangChain, Qdrant, and Google Gemini AI, ElevenLabs and Streamlit.

QnA bot on a CSV

This script is a chat application that allows users to ask questions about multiple PDF documents implemented with meta's LLAMA2

AIPE (AI Pipeline Engine) is a flexible and powerful tool for creating and executing complex AI workflows

Python SDK for vishwa.ai

Explore conversational landscapes with AI - built with Next.js, LangChain, Memgraph, and Orbit

This comprehensive course teaches students how to build, deploy, and manage autonomous agents for enterprise workflows using the Swarms library. Students will learn to create robust, scalable agent systems that can handle complex business processes, integrate with existing tools, and maintain long-term memory.

Turn GraphQL APIs into LLM Tools

RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way

基于 Spring Boot 构建的高性能智能对话平台，创新性地实现了多模型混合调度、知识库增强、多轮对话记忆等核心功能。平台已完成与 DeepSeek、文心一言等主流大模型的深度集成，单机日均可处理对话量 10w+。

Create your own ChatGPT with Retrieval-Augmented-Generation workshop

Lunary AI Python Client (Analytics, monitoring and evaluations for GenAI apps)

About Modular AI assistant — 60 built-in tools, multi-provider LLM support (Ollama, OpenAI, Anthropic, Gemini), hybrid memory, WhatsApp/Telegram daemon mode

⚡ Debug your RAG pipeline without leaving the terminal. Real-time chunking visualization, batch testing, quality metrics, and one-click export to LangChain/LlamaIndex.

IAttorney is an intelligent legal assistant built using Flask, LangChain, FAISS, OpenAI, and a RAG (Retrieval-Augmented Generation) pipeline.

An LLM app with Retrieval Augmented Generation (RAG) built using OpenAI GPT models, Langchain Tokenizers, HuggingFace transformers, and Meta BART summarization model wrapped in a NextJS web app hosted completely on AWS

Starter kit to deploy LLM agents with memory and RAG using LangChain, OpenAI, and Google Cloud (Cloud Run, BigQuery).

RAG-enabled multi-agentic system for medical diagnosis and assistance

LLM-adaptive embeddings (Zero-shot / LoRA) with Generative Topic Modeling & Agent-based workflow for social science text mining

Classify your e-commerce products into categories of well-known e-commerce platforms. It uses OpenAI embeddings and LangChain.

Game Asset Generator using Artificial Intelligence and NLP. Transforms natural language into game assets such as game objects, worlds, quests, storylines, branching-dialogue trees and 2D textures.

Minimal, async-first Python framework for production LLM apps- 2 hard deps, no magic, no SaaS.

An integration package connecting PyMuPDF4LLM to LangChain

A flexible platform that provides Docker & Kubernetes backends, a lightweight CLI (mcpt), and client utilities for seamless MCP integration. Spin up servers from templates, route requests through a single endpoint with load balancing, and support both deployed (HTTP) and local (stdio) transports — all with sensible defaults and YAML-based configs.

An intelligent customer support system powered by LangGraph and LangChain that uses Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses to customer queries. Built with FastAPI, FAISS, and multi-stage validation for production-ready deployment.

Museum-AI 是一个面向博物馆工作者和文物研究人员的智能知识管理与对话系统。项目基于多模态知识库架构（LangGraph + LangChain），通过向量检索、知识图谱和智能体技术，帮助用户高效管理文物知识、构建专业知识库，并进行智能问答。Museum-AI 支持 ChromaDB 向量库与 Neo4j 知识图谱双引擎、多格式文件索引（PDF/图片/文本/CSV/JSON）、图片嵌入检索、动态工具调用，提升了博物馆知识管理的效率。适用于文物研究、展览策划、知识库构建、智能导览等多种场景，是博物馆数字化建设的理想助手。

Local-first web UI for exploring your X/Twitter bookmarks

AI-powered development orchestrator: Supports Claude Code, Codex and Langchain Deepagents + Openrouter backend

An end-to-end RAG chatbot using FastAPI, LangChain, ChromaDB & Streamlit with Multi-LLM support to answer questions from uploaded PDFs.

A complete LangGraph guide for PhD students and researchers. From zero to multi-agent systems with Python examples (chatbots, ReAct agents, supervisor patterns, research pipelines).

AI 驱动的多 Pipeline 代码审查 — 安全、逻辑、质量，一个 Action 搞定。

A curated list of AI agent frameworks, tools, platforms, research papers, and resources

🪝 透明可控的 AI Agent 终端 | 状态机 · 多层记忆系统 · 沙箱防御 · 完整审计 · 多人设多技能

Auto-Browse: AI Enabled Browser Automation

Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground

AI-powered autonomous trading agents for Polymarket prediction markets. This framework enables developers to build sophisticated trading bots using state-of-the-art LLMs, RAG (Retrieval-Augmented Generation), and superforecasting methodologies. Built with Python 3.12+, LangChain, FastAPI, and modern development tooling.

Project: AI Roleplay Companion Key Features: ✅ Ad-Free & Free: No paywalls, no ads in chats 🧠 Persistent Memory: Solves companion AI's "memory loss" issue 📱 Social Features: Diary & Social Feed (CatBox-style, implemented) 🤖 Multi-LLM Support: Integrates major LLM APIs for character switching 🛠️ Tech Stack: Flask + LangGraph agent architect

generate open-source project ideas for developers, when you're bored and want to work on something

Virtual personal assistant designed to simplify your daily tasks

SoulCare is a mental health app using NLP to analyze social media sentiment, track symptoms, and offer AI-driven support with personalized reports, document uploads, and symptom-based prioritization.

Capable Langchain/AutoGPT alternative in ~350 lines of core code

Notebooks showing off LangChain.js v0.1.0 features.

Uses Milvus and OpenAI's API to perform question answering over documents with a chat interface

Langchain tool for time series forecasting

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

Grounding LLMs in truth with under 30 lines of code.

Deploy a "chat with your data" bot in minutes.

Exploring SOTA Advanced RAG techniques: This project implements a self reflective RAG, seamlessly integrating multiple knowledge sources (website, SQL, PDFs) while meticulously aligning with business requirements.

Free AI Youtube Summarizer on your computer using mistral-instruct-v0.2, langchain and llama_index

An LLM enabled XML generator for Indian laws in the LegalDocML and LegalRuleML formats

TypeScript SDK for building RAG applications with Supabase and pgvector. Features semantic search, OpenAI embeddings, LangChain support, and comprehensive type definitions.

Rag (Retreival Augmented Generation) Python solution with LLama3, LangChain, Ollama and ChromaDB in a Flask API based solution

🤖 Advanced AI agent system combining ReAct reasoning and Plan-Execute strategies with unified memory, reflection patterns, and browser automation tools. Built with LangGraph, LangChain, and Google Gemini.

A curated list of awesome applications, tools, and resources for the Swarms framework by swarms.ai. Swarms is a powerful, production-grade framework for orchestrating multi-agent AI systems, enabling developers to build everything from simple autonomous agents to complex, collaborative swarms that can solve real-world problems.

Use AI to create your Presentations using llama2-7B

NewsPulse is AI powered news analytics app for investors

🌍 AI Travel Agent - Intelligent multi-agent system powered by LangGraph that coordinates specialized AI agents (flight search, hotel booking, activity planning) to provide personalized travel recommendations and assistance

Embeddable Generative UI Chat widget

Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarity anti-hallucination. MCP server, REST API, Python SDK.

Task-steering — Implicit state-machine middleware for LangChain v1 agents. Ordered task pipelines with per-task tool scoping, dynamic prompt injection, and composable completion validation.

Ask Dr. Andrew Huberman questions and receive answers directly from his podcast episodes.

Chat with PDF locally: An advanced chatbot using Ollama / Sambanova LLMs to interactively extract information from PDFs, Using Streamlit & Ollama / Sambanova API and langchain

Visual AI agent builder. Drag, drop, and generate LangChain/LangGraph code using natural language or a node-based UI.

Production-grade RAG toolkit - ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication.

AI Framework for Remote Sensing Image Analysis using RAG - 88%+ accuracy, multi-modal queries, ChatGPT-like interface

Local-first Memory Framework for AI Agents · 99.2% LongMemEval-S retrieval @ k=10 · Supports Claude · Antigravity · LangChain · Hermes · Gemini · OpenCode · OpenClaw · MCP-native and plugins · Hybrid search (FTS5 + vector + MMR) · GDPR · FIPS 140-3 ready · 100% local (fully offline) or cloud capable

Cross-IDE, multi-stack agent skill for OpenUI (the Open Standard for Generative UI). Adds OpenUI to existing projects across 12 backend stacks, any LLM provider, and 11 agent platforms. Scaffold, integrate, validate.

LangChain + LangGraph + LangSmith 入门教程实践

Audit any agent decision across its past, present, and future, on one typed graph.

Observra is an open-source observability and telemetry framework designed for AI and agentic systems, providing deep visibility into agent behavior, execution flows, runtime events, and inter-agent communication.

Source-available visual design editor + AI Design Agent. Self-host with Docker Compose.

Drop in your Binance or Bybit CSV export. An AI agent identifies revenge trading, overleverage, FOMO entries, and other psychological errors — with dollar attribution per error class. Runs locally. No API keys. No account linking.

A bot that scrapes open-interest and liquidation heatmaps to alert traders when a "Short Squeeze" or "Long Squeeze" is imminent.

Make OpenClaw usable for everyone — setup, manage, and grow it into a practical digital personal assistant.

Measuring RAG solutions throughput and latency

A streamlit application to play with LLM Models

Lectures that talk back. AI tutor with real-time voice conversation, dynamic Gemini-driven slides, and emotion-aware pacing — built at LA Hacks 2024 (Google Gemini Challenge 1st + Fetch.ai Agentified).

LUMIN: Your data analysis companion that turns natural language questions into powerful insights through AI-driven visualizations and clear explanations.

This repository contains a simple but powerful chatbot built with Streamlit, OpenAI, and LangChain. The chatbot maintains conversational memory, meaning it can reference past exchanges in its responses.

An intelligent web application built with Next.js, Tailwind CSS, and OpenAI's GPT models. It helps users effortlessly generate engaging and personalized bios, welcome messages, and improved content for social media platforms.

Retrieval Augmented Generation demo using Microsoft's phi-2 LLM and langchain

AI agent converting natural language to Neo4j Cypher