langchain
58 servers · 13,893★ total
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
80+ production-ready AI agent examples in Python — build autonomous agents, multi-agent systems and agentic AI with uAgents, ASI:One, MCP, A2A, LangChain, CrewAI, Gemini, Claude and OpenAI.
On-premises conversational RAG with configurable containers
An introduction to the world of AI Agents
🛡️ The approval and policy layer for AI agents. Intercept risky actions before they run, block them, or approve them remotely.
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering postgrad course.
🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.
The deterministic merge gate for AI-generated agent capability changes — a local-first, static Tool-Use Readiness review for MCP, OpenAPI, and SDK tool surfaces. Open-source CLI + GitHub Action.
A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (DWS) Processor API, providing powerful PDF processing capabilities for AI assistants.
Local memory infrastructure for AI agents. Store knowledge and skills in isolated vaults you compose, control and query.
A Streamlit-based chat app for LLMs with plug-and-play tool support via Model Context Protocol (MCP), powered by LangChain, LangGraph, and Docker.
Public adapters and discovery catalog for Triptych OS (Agent OS): agent frameworks, MCP/A2A/x402 protocols, workflows, wallets, SDKs, and examples for execute-first routing, governed handoffs, and receipt-aware agent commerce.
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
Audit any agent decision across its past, present, and future, on one typed graph.
Make OpenClaw usable for everyone — setup, manage, and grow it into a practical digital personal assistant.
Reliable research infrastructure for AI agents. Evidence-backed web search with citations, confidence scores, and Clarity anti-hallucination. MCP server, REST API, Python SDK.
WhatsApp MCP Server — Connect AI agents to WhatsApp via Model Context Protocol. 61 tools, 10 resources, 12 real-time events. Supports Baileys (WhatsApp Web) and Cloud API. Built with TypeScript, BullMQ, and Docker.
Python SDK for accurate and verifiable agent tool use. Agents verify that answers came from the right source and were not changed. Downstream agents detect 100% of errors and retry to achieve a 50% jump in answer accuracy.
🛡️ The security firewall for AI agent tools & MCP servers (Claude, GPT-5.6, Gemini 3.7, Antigravity, Cursor, Codex, Hermes). Catch command injection, secret theft & toxic flows in <50ms. 100% offline Rust SAST + 1-click auto-fix + SARIF.
LLM guardrails & prompt injection detection for Python. Auto-instruments LangChain, CrewAI, OpenAI, LiteLLM + 8 more frameworks. PII masking, toxicity detection, policy CI/CD. One line, zero code changes.
A production-ready Django app implementing Firebase Model Context Protocol (MCP) server with 14 Firebase tools for AI agents. Features standalone agent, HTTP/stdio transport, LangChain integration, and complete Firebase service coverage (Auth, Firestore, Storage).
🔪 Open-source safety firewall for AI agents. Intercepts tool calls before they execute, enforces YAML policies, and kills dangerous operations in real-time. Works with OpenAI, Anthropic, LangChain, and MCP. She doesn't guard. She kills.
The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.
Local-first memory for AI agents: one SQLite file, zero deps. Recency-aware exact recall, conflict detection, time-travel journal, MCP server.
AI-first subjectivity kernel for agents — persistent emotional state, relation dynamics, adaptive reply loops. Zero extra LLM calls.
AI agent toolkit for accessing and analyzing SEC EDGAR filing data. Build intelligent agents with LangChain, MCP-use, Gradio, Dify, and smolagents to analyze financial statements, insider trading, and company filings.
A client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools
Local-first AI agent memory — one command, 13+ IDEs, works offline. Persistent memory for Claude Code, Cursor, Windsurf, OpenClaw. Zero-code interceptors for OpenAI/Anthropic. Python & TypeScript SDKs.
Meet WebHive, the AI-powered browser that takes care of tasks for you. No more endless clicks, tell it what you need, and it gets it done.
A hands-on LangChain course with 100+ runnable labs — RAG, tools, agents, MCP, structured outputs, and multi-provider LLM support.
git for agent brains — move, debug, and secure AI agent state across 10 frameworks
Developer acceleration layer for enterprise RAG + agent pipelines. 32 production-style flagships on LangChain, LangGraph, CrewAI, Temporal, OpenAI Agents SDK, pydantic-ai. Permission-aware retrieval, chunk-level citations, schema-enforced output. Built on Model Context Protocol (MCP).
Write your page once — AHTML emits MCP, OpenAPI, JSON-LD & llms.txt for AI agents from your existing Next.js, Vite or SvelteKit app. Zero migration. MIT.
Zenodo MCP server — tool-based LLM integration with Zenodo (open-access research repository) via the Model Context Protocol (MCP)
The Code Review Assistant is a simple multi-agent system built using the Model Context Protocol (MCP) and LangChain. Its purpose is to provide automated, preliminary feedback on code snippets, including syntax checking, code explanation, and improvement suggestions. It can be integrated with MCP-compatible clients like Cursor IDE or Claude for Desk
Agentic RAG Chatbot using Model Context Protocol (MCP) to answer queries from PDFs, Word, and PPT files.
🤖 Engage with an interactive Twitter AI agent to post tweets, retrieve recent updates, and schedule tasks effortlessly.
Rust-native universal retrieval layer for humans and AI agents — search, extract, rank, and synthesize the web. CLI + REST API + MCP server, with adaptive extraction (CEP), token-budgeted packing, multi-signal ranking, and cited research.
AI-powered QA Architect agent — generates ISTQB/OWASP/IEEE/ISO-grounded Test Strategies, Risk Registers, Effort Estimates & Test Plans via RAG. Cloud-hosted (Mistral API + Pinecone).
Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use with LLMs and AI assistants such as Claude.
MIF — Memory Interchange Format. A vendor-neutral JSON schema for portable AI agent memories. Convert between mem0, CrewAI, LangChain, and more.
Local-first RAG engine with cited answers from your own docs. GraphRAG, sealed sharing, MCP-native, VS Code Copilot integration. Nothing leaves your machine.
The guardian layer for AI agents — identity, secrets, audit via MCP. Gate + Vault + Watch.
Trust and quality infrastructure for AI agents. 225+ quality-scored capabilities, SQS scoring, EU AI Act support.
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.
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.
Repository containing practical exercises and notebooks focused on AI application development and experimentation.
Non-custodial Solana swap & limit-order MCP server for AI agents. 21 tools (swap, limit, trailing, TWAP, DCA, combo orders) across Raydium, PumpSwap, Orca, Meteora. Jito MEV-protected. Ed25519 server-message verification. `npx -y @traderouter/trade-router-mcp`
Successfully developed a Travel Planner Assistant powered by LangGraph and MCP, integrating real-time flights, hotels, weather, places, and timezone tools. Features modular MCP servers, OpenAI agent orchestration, and a Streamlit UI for end-to-end trip planning.
Stop AI agents from confidently using stale facts. MemGuard validates memories in Mem0, Zep, Letta & LangMem against reality — trust scores, quarantine, tamper-proof audit trail, MCP tools. Like Datadog for agent memory.
The internet for AI agents. 85M+ businesses, 195 countries. Never returns empty — discovers unknown businesses from the web in real-time. 23 tools + agent memory. Prose format. Free API key. npx agentweb-mcp
AI agent evaluation framework for multi-participant coordination tasks. Built with LangGraph, custom MCP tools, and LLM-as-a-Judge evaluation. MSc dissertation project (University of Edinburgh, 2025).