Tools for LangChain / LangGraph

An effortless way to experiment and prototype LangChain flows with drag-and-drop components and a chat interface

Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs

Collection of production LLM applications with source code across RAG, multi-agent, and tool-use patterns. Good reference for how harness primitives combine in real applications

ByteDance's open-source SuperAgent harness built on LangGraph: orchestrates sub-agents with isolated contexts, persistent multi-tier memory, Docker/K8s sandbox execution, and on-demand skill loading for long-horizon tasks that span minutes to hours. A concrete reference for composing supervisor coordination, scoped delegation, and real execution environments into a single deployable harness

Compresses tool outputs, logs, files, and RAG chunks before they enter the context window, cutting active tokens by 60–95% without changing answers. Ships as a library, proxy, and MCP server — the right drop-in layer for any harness where bulky tool returns are the primary context pressure source

Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider resilience (automatic failover on 429/500 errors), budget guardrails, or the ability to swap models wit

Self-hosted multi-model chat. All major providers

LangGraph is a Python library facilitating the construction of stateful, multi-actor applications with LLMs, enabling cyclic coordination across multiple computation steps, particularly suited for agent-like behaviors, while also providing streaming support, and various guides and examples for implementation and usage github

Arm Cloud Migration Assistant accelerates moving x86 workloads to Arm infrastructure. It scans the repository for architecture assumptions, portability issues, container base image and dependency incompatibilities, and recommends Arm-optimized changes. It can drive multi-arch container builds, validate performance, and guide optimization, enabling smooth cross-platform deployment directly inside G

The most widely adopted self-hostable LLM observability platform: traces every agent step, manages prompt versions, and runs evals in one tool. Preferred over cloud-only alternatives when data residency or cost control is a constraint

This repository contains the Hugging Face Agents Course.

LangChain's batteries-included agent harness (released April 2026) with built-in planning, filesystem tools, shell access, sub-agents, and auto-summarization. The clearest open-source demonstration of how a general-purpose coding agent harness can be made ready-to-run out of the box while remaining fully extensible

Lightweight multi-agent framework built around handoffs and guardrails; the production successor to Swarm. Complements LangGraph for harnesses where delegation patterns are simpler than full graph orchestration

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and optimization in one self-hostable stack rather than stitching together separate tools

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

NVIDIA reference stack for running always-on AI agents more safely in sandboxes, with network policy, hardening, routed inference, and lifecycle controls

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站

Langchain features VectorDBQAChain, which integrates LLMs and vector databases into agent tools for enhanced question-answering capabilities by leveraging data ingested into vector stores github | docs

LangChain's CLI that writes and maintains agent-readable wikis for codebases or purpose memory, turning documentation drift into a versioned, automatable harness artifact. Emits Google Open Knowledge Format bundles so curated context stays portable across agents and can be kept fresh via CI

A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API

https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

Invoked from Slack, Linear, or GitHub comments; each task runs in its own cloud sandbox and ends in a draft PR linked to the ticket.

Awesome list of tools and projects with the awesome LangChain framework

Stream large multimodal datasets to achieve near 100% GPU utilization. Query, visualize, & version control data. Access data w/o the need to recompute the embeddings for the model finetuning

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc

Creating semantic cache to store responses from LLM queries

GPT Computer Assistant is an unofficial app that brings ChatGPT functionality to Windows and Linux, allowing for screen reading, microphone use, system audio interaction, clipboard management, script execution, and more github

Swarms orchestrates multi-agent collaboration for production-grade applications, solving issues like short memory and high costs, with customizable tools for specific needs, currently used by RBC, John Deere, and AI startups github | discord | docs

OpenGPTs is an open-source project providing customizable GPT-based experiences, offering control over language models, prompts, tools, vector databases, retrieval algorithms, and chat history databases, featuring three cognitive architectures: Assistant, RAG, and Chatbot, with support for various language models and deployment options including Docker, Cloud Run, and Kubernetes github

Seven-package, multi-language (Python, Rust, TypeScript, Go, .NET) runtime security toolkit that addresses all 10 OWASP Agentic AI risks with deterministic, sub-millisecond policy enforcement. Includes Agent OS (policy engine intercepting every action), Agent Mesh (secure agent-to-agent communication), and Agent Runtime (dynamic execution rings). Hooks into LangChain callbacks, CrewAI task decorat

Open-source LLM observability proxy (YC W23) with the largest open-source pricing database (300+ models). One-line proxy integration provides cost tracking, token monitoring, session tracing, and prompt versioning across providers. The AI Gateway component handles request routing and caching with zero-code changes. SOC 2 and GDPR compliant, self-hostable via Docker — the natural complement to exec

Open-source agent engineering platform (YC W24) with session replay, cost tracking, and failure detection across 10+ frameworks including CrewAI, LangGraph, and OpenAI Agents SDK. The step-by-step execution graph and cross-session metrics make it the most practical debugging layer for multi-agent systems in production

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

Next-generation personal AI assistant powered by LLM, RAG and agent loops. Supports computer-use, browser-use, coding agent, 30+ model providers, visual workflow builder, and MCP tools. Self-hostable with admin dashboard

Open-source framework for orchestrating, experimenting and deploying production-grade ML solutions, with built-in langchain & llama_index integrations

A versatile answer engine leveraging Groq, Mistral AI, Langchain.JS, Brave Search, Serper API, and OpenAI to deliver efficient and sophisticated responses with reduced hallucination through RAG for citation-backed search queries github | github profile

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Easiest and laziest way for building multi-agent LLMs applications.

A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

👾 Open source implementation of the ChatGPT Code Interpreter

LangGraph.js is a TypeScript and JavaScript library enabling the development of stateful, multi-actor applications with LLMs, featuring capabilities to construct cyclic coordination across multiple computation steps for complex agent-like behaviors, with support for conditional edges and cycles, not limited to DAGs, and extensive documentation with examples on implementation github

AI agents can now use real Android and iOS apps, just like a human.

Self-hosted AI penetration testing agent built on LangGraph that maps the attack surface into a graph, exploits it from a Kali sandbox with human approval gates, and opens pull requests with fixes

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

Repo for AI Agents The Definitive Guide

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.

The de facto benchmark and execution harness for terminal agents: real sandboxed shell tasks verified by deterministic test scripts, now at 2.x on the Harbor framework. Cited throughout this list because it is the yardstick every harness-only improvement claims against — from LangChain's rank-30-to-top-5 harness changes to Self-Harness and Beagle's evolution loops — making it essential infrastruct

Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context. github

Openai style api for open large language models, using LLMs just as chatgpt! Support for LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, X…

RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. github

LangServe facilitates the deployment of LangChain runnables and chains as a REST API, providing features like automatic schema inference, efficient endpoints, and a playground page, with plans for a hosted version for one-click deployments github

A standalone coding agent built on LangGraph's agent-based task execution framework

Memory service with semantic search, persistent storage and autonomous memory consolidation

🤖 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.

Local-first desktop assistant that reasons through messy context, orchestrates tools and providers, and works inside your files, repos, and channels — durable memory, scheduled tasks, voice, visible browser automation, and parent-led child agents for research, review, and implementation. Runs on Ollama or opt-in cloud models. Formerly Thoth.

This repository showcases various LangChain agents as Streamlit apps, including a basic streaming app, a memory-based conversation app, a demo replicating MRKL functionality, a minimal agent with search capability, chatbots with feedback options, document querying, database communication, and pandas DataFrame interaction, featuring LangChain and Streamlit integrations github | github profile

Serverless LLM apps on Production with Jina AI Cloud *(Archived)

llm-chain is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks

KaibanJS is a JavaScript-native framework for building and managing multi-agent systems with a Kanban-inspired approach

Make it easier to run and develop with babyagi in a web app, like a ChatGPT. github

(814 ⭐) - LangChain skills repository for agent workflows and LangChain project work

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading a…

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

LangSmith provides tools for debugging, testing, evaluating, and monitoring LLM applications, integrating seamlessly with LangChain for comprehensive AI agent observability github | docs | website

Open-source CLI security scanner for agentic workflows. Scans your workflow’s source code, detects vulnerabilities, and generates an interactive visualization along with a detailed security report

MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time compute

Build agents which are controlled by LLMs. github

IBM Research's generalist agent harness built on LangGraph; executes tasks over APIs (OpenAPI specs, MCP servers, LangChain tools), the web (Playwright), or both, with policy-based guardrails and human-in-the-loop approval (Intent Guard, Playbook, Tool Approval), multi-agent supervision including remote A2A agents, and agent skills. Python, Apache-2.0

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly. github

Local RAG (on-premises) with MCP server

Red-teaming and evaluation framework for AI agents, built around an OWASP-inspired ASI01–ASI10 taxonomy

Production-ready open-source runtime focused on two pieces many agent frameworks leave underspecified: secure sandbox execution and durable agent serving. The "Agent as API" model, async sandbox types, and built-in state/sandbox lifecycle management make it one of the few 2026 projects tackling runtime concerns directly instead of stopping at orchestration abstractions

Open-source AI Agent platform for teams. Your agents don't just chat — they read files, run code, call APIs, and deliver results.

公开的 Java 后端 / AI Agent / 系统设计 / 算法面试复习资料库

Emerging human-behavior simulation capability in LLM agents. github

Self-hosted AI runtime that orchestrates Claude Code, Codex, Gemini CLI, OpenCode, Copilot CLI, Cursor Agent, Goose, Qwen Code, and Droid with heartbeats, schedules, delegation, runtime skills, and an org chart view. Ships as a desktop app (Electron) and CLI. MIT licensed, TypeScript

Open-source runtime AI agent security tool - monitors and controls AI agents, catching malicious tool use, prompt injection, and policy drift in real time, before the agent acts.

Open-source design agent: on-brand stills, decks, diagrams, charts and motion graphics from a chat thread, built on Deep Agents.

MCP gateway & OAuth MCP servers. LangGraph agent: memory, eval/tracking, PII guard, context trimming. Docker quick start for enterprise agents.

AI 课程笔记：langchain / langgraph / python / vibe coding

A local-first inbox for long-running AI agents, built with DeepAgents and LangGraph.

Pre-execution firewall that intercepts, classifies, and blocks agent tool calls before they execute, with a compliance cockpit for real-time monitoring, human-in-the-loop approvals, and a tamper-evident audit trail. The zero-code-change integration makes runtime policy enforcement practical for existing agent deployments

📊 电商数仓智能问数 AI Agent，最适合用于系统学习 LangGraph 的实战项目：基于 LangGraph、FastAPI、Qdrant、Elasticsearch、MySQL 与 React，完整实现元数据知识库、混合检索、自然语言生成 NL2SQL 生成校验、SQL 执行与流式查询展示。前后端完整代码全栈可跑，Docker 环境一键部署，配套 ai-agents-from-zero 免费教程与章节代码分支。适合系统学习大模型应用、数据分析 Agent 和企业级 AI 工程落地。

The first AI Agent Server, Eidolon is a pluggable Agent SDK and enterprise ready, deployment server for Agentic applications

Deploy LangChain Agents and connect them to Telegram. github

No Crypto - Scam alarm - This project is not releated with any crypto currencies. | Neuralink for your AI Agents - LangChain - Autogen - …

Security-focused AI agent runtime for scanning prompt injection, MCP risks, unsafe package installs, and dangerous agent actions before execution

An autonomous agent that can answer HR related queries autonomously using the tools it has on hand. github

LangChain-based coding agent for AI-assisted development. Supports Gemini, Anthropic, OpenAI, and Ollama

Swytchcode demo projects with different agents

Open-source React component library (Evil Martians) that transforms OpenTelemetry trace data into interactive visualizations: tree view, timeline/Gantt view, sequence diagrams, and detail panels. Framework-agnostic — works with any OTEL-compatible agent. Fills the gap between raw OTEL spans and human-comprehensible agent debugging UIs

Python CLI by Repello AI for extracting agentic workflows from LangChain/LangGraph/CrewAI/AutoGen and running automated threat modeling against the resulting graphs

The missing bridge between your ML models and your AI agents.

Conversations with your files! Manage and run your AI presets!

The Open Assistant API is a self-hosted, open-source framework that enables the creation of customized AI assistants, supporting integration with OpenAI's LLM and LangChain SDK, and is compatible with OpenAI's Assistants API, allowing for seamless orchestration and extension capabilities github

AI red-team platform. Autonomous LLM agents run a penetration test end to end inside a Kali container and write the report. LangGraph plan/act engine, provider-agnostic models via LiteLLM, PDF/JSON/SARIF output. FastAPI + React.