langchain-python

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.

🤖 Create agentic apps in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.

Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud models. Your data stays on your machine.

⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops

An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response.

AI-Hedge-Fund for Crypto 🚀 AI-powered hedge fund for cryptocurrency trading, leveraging LLM agents for intelligent decision-making.

LangGraph template for a simple ReAct agent, with MCP tools support and robust test suites.

Deploy LangChain Agents and connect them to Telegram

LLMs and Machine Learning done easily

🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)

Build LangChain Applications on AWS

🧠 Second Brain AI agent

LangChain abstractions backed by Postgres Backend

Integrating Neo4j database into langchain ecosystem

Your commands control the browser - made easy | Chrome Extension and RESTful API for Browser-Use

NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.

Examples on how to use LangChain and Ray

This repository contains resources and materials for courses and presentations related to AI Agents and Agentic Systems for Cybersecurity Operations by Omar Santos.

This is the official companion repository for the book The Complete LangGraph Blueprint: Build 50+ AI Agents for Business Success. The repository provides source code, practical examples, and resources to help you build dynamic AI agents using LangGraph, a cutting-edge graph-based framework for artificial intelligence workflows.