Framework
Langchain agents
9,311 Langchain AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Langchain agents — page 43 of 94
The identity layer for AI agents: open standard, SDKs, and framework integrations for verifiable agent identity.
Reference customer-support workflow using CrewAI, FastAPI, and Gemini, with specialized support, escalation, and QA agents.
HipCortex is a persistent, local causal memory engine solving context-loss and token inefficiency in AI agents. It stores decisions as a causal graph served via HTTP/MCP, replacing bloated chat histories with lean context. This symbolic memory enables reasoning-capable architectures that retain knowledge across sessions.
BenchClaw adapters for LangChain, LlamaIndex, CrewAI, Ollama Open WebUI, LobeChat, n8n, Dify, Continue.dev and more. Lets any agent framework submit to the P2PCLAW leaderboard.
The guardian layer for AI agents — identity, secrets, audit via MCP. Gate + Vault + Watch.
"A resilient RAG agent built with LangGraph and LlamaIndex that self-corrects by rewriting queries when retrieval quality is low. Features a cyclical graph architecture for adaptive search.
Ferro Labs AI Gateway Python SDK - Instrument your LLM app, Works with any LLM or framework
LangGraph multi-agent research pipeline with RAG, hybrid BM25+semantic search, FastAPI streaming, and LLM-powered synthesis.
🤖 AI产品经理超级工作台 | 12阶段·60+框架·20+交付物 | LLM·RAG·Agent·Prompt工程·AI评测·AI安全 | EU AI Act·深度合成新规·Token经济学 | WuKong/Claude/OpenClaw Skill
Agent Studio with Federated Single Sign-On and Fine-Grained Access Controls
一款企业级多语言(Polyglot)智能出行 Agent 架构实战。采用 Monorepo 单仓管理,底层基于 Java Spring Cloud 构建高并发票务微服务底座;AI 大脑层提供 Java (Spring AI) 与 Python (FastAPI+LangChain) 双引擎实现。核心特性包含:端到端 JWT 上下文鉴权透传、基于 Tool Calling 的异常自纠错 (Self-Correction) 循环,以及微服务级的数据流压缩,完整打通自然语言到真实复杂业务下单的全链路闭环。
一站式游戏数据采集与自动化分析工作流,内置可视化 WebUI 与 AI Agent 助手。
Autonomous quality firewall for LLM agents - classifies failures, generates patches, writes evaluators, and runs shadow deployments. Built on LangSmith + LangGraph + Groq.
AI agents get stuck in infinite tool loops. Each loop cycle burns API credits. Microloop detects redundant tool calls locally in nanoseconds and blocks them before the call ever leaves the machine.
Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker
This is youtube video question answering chat app with transcript and play feature to avoid unlimited ads of youtube for focus work
LLM-based resume screening with structured candidate ranking + SWOT analysis. Streamlit · Groq Gemma 2-9B · MongoDB. Evidence-first — the human still decides.
Build workflows and agents with LangChain and LangGraph
DSAFlowBot is a smart assistant that streamlines DSA practice with topic-wise question flows.
A LangGraph-native open reimplementation of Sakana AI's Fugu — trained coordinators that orchestrate a pool of LLMs (TRINITY + Conductor).
Stateful AI agent memory layer for PostgreSQL with pgvector - TypeScript-first with intelligent context management
🤖 Explore AI-Agent-Guide: a comprehensive resource for building intelligent agents with insights on architecture, key technologies, and practical applications.
AI-powered RAG chatbot for PDFs and websites using LangChain, FAISS, Hugging Face Embeddings, Gemini AI, and Streamlit.
🤖 Enhance your research with SurfSense, a customizable AI agent that connects to multiple platforms for smarter, effective information retrieval.
Quizzy is an AI interviewer that creates hyper-personalized interview simulation using a RAG-based system for dynamic conversations. It analyzes emotions, perception, posture, and responses, ensuring a natural flow. With job opening scraping and an embedding-based ATS score checker, Quizzy prepares you for the job market. Built with MLOps in Django
Declarative schema migrations for LangGraph state persistence — Alembic for your checkpointers and stores
Deterministic $0 pytest assertions for AI agents — catch the agent that quietly stopped calling its tools, and cost blowups, offline in CI.
A configurable, typed AI framework with swappable LLM, classifier, handlers, and optional memory for NLP to Action flows
A high-performance AI knowledge base that uses DeepSeek-V3 and Hybrid Search to turn your PDFs and docs into an interactive, real-time chat expert. Built with a FastAPI backend and a premium Glassmorphism UI.
AWS DynamoDB implementation for LangGraph Memory Store and Checkpoint Saver in TypeScript
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.
Deepagents for Go, the easiest way to write LLM-based programs in Go
🎬 Semantic movie recommendation system using transformer embeddings, ChromaDB, LangChain, and Gradio.
Single-binary, MLflow-API-compatible experiment tracker with first-class LLM trace support. 143× faster cold start than MLflow.
This course is designed to take you from the basics to advanced concepts, providing hands-on experience in building, deploying, and optimizing AI models using Langchain and Huggingface. Perfect for AI enthusiasts, developers, and professionals
nexusGPT - Agentic system
Production-grade multi-agent AI automation platform — LangGraph orchestration, FastAPI, PostgreSQL, Redis, Celery, circuit breakers, structured logging (structlog)
Agentic SpendGuard — audit-chain spend control for LLM agents. KMS-signed decisions, Stripe-style auth/capture ledger, operator approval, multi-tenant. Adapters for Pydantic-AI, LangChain, LangGraph, OpenAI Agents SDK, Microsoft AGT.
This repository features multiple demo chatbots, each designed to handle a specific domain or task. These bots leverage conversational AI to provide automated solutions that mimic human interaction.
DevZoku is a hackathon collaboration platform designed to help developers find teammates, form teams, and participate in hackathons seamlessly. It brings developers and organizers together with tools for team building, event discovery, and smooth management—making hackathons more connected and collaborative.
[WIP] LLM-powered agent for adaptive data analysis across multiple sources. Uses natural language for complex queries, visualizations, and insights. Features autonomous planning, SQL/Elasticsearch generation, and AI storytelling. Built with LangChain, GPT-4, FastAPI, and React.
Text-to-SQL + RAG based intelligent data assistant with schema linking and self-reflection.
The LangGraph Workflows Collection showcases a variety of AI workflow examples built using LangGraph, LangChain, and Google Gemini LLM. Each example demonstrates how to design modular, state-driven workflows — from simple logic-based flows like BMI or quadratic solvers to advanced LLM-powered reasoning, tool integration, and fault-tolerant systems.
🩺 RAG Doctor — Open-source diagnostic tool for Retrieval-Augmented Generation (RAG) systems. Analyzes codebases to detect architectural issues in LLM pipelines such as missing retrieval, bad chunking, embedding mismatches, and vector database misuse.
Zero-config static security scanner for AI agents. Detects 20 vulnerability categories mapped to MITRE ATLAS and OWASP LLM Top 10.
AI-Powered Job Extraction and Cold Email Generator
This project is the fourth deepagent companion project in the Cufel-X project, and the content is a deepagent framework adapted to MCP adapter
Multiplatform Adaptive Learning Application powered by GenAI
设计并实现了一个具备自主迭代检索(retrieve-grade-rewrite-expand)的 TraceAgentic RAG 系统。通过 LangGraph 驱动 Agent 进行多步规划、相关性评估、重写查询与扩展检索,并实时输出 rag_step 进度与完整检索溯源(Trace),有效降低幻觉并提升可解释性。集成 MCP 工具实现文档与结构化数据(Git/MySQL)联合查询,支持文档批量上传与流式响应。相较于传统 RAG,该系统在复杂知识问答场景中展现出显著的自主决策与透明度优势。
LLM Workshop : OpenAI and Langchain Jupyter Notebook
An advanced voice and text-based assistant using LangChain.js v3 and OpenAI models. This application provides a seamless conversational experience with both text and voice input/output capabilities.
Memtruth SDK: evidence, parse, corpus contracts, chunking, projection, and diagnostics for AI applications.
projet utilisant Ollama, expérimentation de RAG, agents, chat à but de faire un assistant perso
Think like an attacker. Ship like a defender. — Open-source SKILL.md packs for hardening LLM systems: prompt injection, RAG security, tool execution, data leakage & governance. Framework-aware (LangChain, LlamaIndex, Semantic Kernel) and language-portable. Built for engineers who ship to production.
Typed TypeScript/React client SDK for Agentflow. Covers invoke, streaming, threads, memory, files, and graph ops, with React hooks for token-by-token streaming and client-side tool execution.
Repository for practicing GenAI & RAG examples
Stateful agent-graph framework with deterministic governance — rules route transitions, not the LLM. Auditable, replayable. Built on Fathom.
Identity resolution for AI applications
Enable unified search and AI answers across text, images, audio, and video using multimodal retrieval-augmented generation with source citations.
Terminal-first AI web search agent. Smart CLI builds precise YouTube & Google queries, auto-launches a custom Streamlit video platform with inline player, shorts, and 45 related suggestions — powered by LangChain, InquirerPy, and YouTube Data API v3.
Chatbot for answering questions about the Systems Engineering program at Univalle Tuluá.
Agent driven UI
AI study companion that turns PDFs and YouTube videos into a Socratic tutor, flashcards, quizzes, and a knowledge graph — built on LangGraph RAG with SQLite persistence and SM-2 spaced repetition.
Automate penetration testing tasks with an LLM-driven multi-agent framework designed for security assessment.
A modern, AI-powered Learning Management System (LMS) featuring role-based access and an agentic chatbot built with LangGraph for natural language database operations.
Recipe AI is a web application built with Streamlit and LangChain that generates easy-to-make recipes with nutrition facts based on the ingredients and kitchen appliances you have at hand.
AI Risk Intelligence Platform An end-to-end AI-powered risk analysis system that evaluates companies
🏆 Dell Cloud Native Award Champion, Agent M
A multi agent Agentic AI which performs web search and summarize the articles from the search.
基于 LangChain + LangGraph。Orchestrator(system prompt = mastermind SKILL.md 浓缩)经 delegate_attack / delegate_parallel 调度 5 个攻击 agent;旧 LangGraph 7-node 固定管线保留为 --mode scan 确定性回退。支持混合爬虫、改包重放、跨点价值链、JWT/GraphQL/prototype 检测、Triage 8 检查(含 SRC 合规)、docx/html 报告、Claude-Code 插件模式。
Production-ready WhatsApp AI assistant (RAG + multi-LLM). Free core + Pro CRM/app integrations. Nice dashboard, Docker, Pinecone. Contact: [email protected] | +255 692 654 000
AI agent automation around incident response, deployment recovery, database-change review, ticket updates, and infrastructure operations without losing review-ability or traceability.
一个支持 MCP、Tool、Skills、Subagent、知识库检索与沙盒执行的模块化 AI Agent 应用。
AI Agent 平台: 对话+工具调用+员工评估。对标 ChatGPT/Claude/Dify/Coze,14个内置工具+MCP协议+Code Interpreter+Artifacts+Skills+360环评+九宫格+校准会。FastAPI+Vue3+LangGraph
A Python Interface to macOS Accessibility API for UI Automation and AI Agents.
Local insurance-clause RAG agent: hybrid retrieve (BGE+BM25), cited answers, honest refuse. Not regulated advice. | 本地保险条款 RAG:混合检索、带引用回答、诚实拒答
Multi-agent control plane for cross-border e-commerce: LangChain + Claude ReAct workflows, RAG, and ERP/CRM-style tool integration. 跨境电商多 Agent 调度中枢:LangChain + Claude + RAG + ERP/CRM 工具集成。
话到嘴边 - 面向年轻人的场景表达转换器 - 把不好开口的话,换一种更合适的表达
Developed An AI-powered Retrieval-Augmented Generation (RAG) Document Assistant that allows users to upload PDF, DOCX, and TXT files and ask questions in natural language...
AI Data Analyst Agent , asisten cerdas berbasis Groq (Llama-3) & LangChain untuk eksplorasi, visualisasi otomatis, dan pembersihan dataset (CSV) langsung dari chat
Aria. A multi-agent digital marketing assistant. Give it a business objective and a brand tone; a team of agents writes the copy, plans the campaign, scores itself against a rubric, and reworks until it passes. Model-agnostic via a gateway.
SchemaMind turns plain-language questions into validated SQLite queries. Upload a .db, ask anything, and get back executable SQL plus the actual results — powered by FAISS schema retrieval, Gemini, and a strict safety layer.
Governed AI agents for education — 8 reference workflows on Amazon Bedrock with deny-by-default authorization, student-PII masking, human-in-the-loop enforcement, and tamper-evident audit trail aligned to FERPA, COPPA, IDEA/504, and ADA Title II. Built for K-12, community colleges, and universities.
This project focuses on developing a real-time, intelligent healthcare assistant powered by Agentic RAG (Retrieval-Augmented Generation) and the LangChain framework. Designed to provide multimodal support—text, image, and document-based inputs—it aims to assist medical personnel and individuals in remote areas.
Convert natural language into SQL queries using Large Language Models (LLMs), schema-aware prompting, and database validation.
🤖 Build a documents-based AI assistant that uses RAG architecture for accurate technical responses and combines local processing with cloud-based services.
RAG-Based Document Retrieval and Question Answering System
Circuit breaker + hierarchical dollar budget for LangGraph agents. In-process, no proxy.
I am an AI Engineer focused on building production-ready systems that solve real-world problems. I specialize in designing scalable, intelligent, and data-driven solutions across healthcare, finance, and generative AI, with a strong focus on end-to-end system development.
AI-powered multi-agent travel planner built with FastAPI, LangGraph, Groq, PostgreSQL, Tavily, and AviationStack.
This AI system orchestrates multiple AI agents working together in a structured pipeline to generate comprehensive research reports on any topic.
A curated list of 400+ AI APIs, tools, frameworks, and platforms across 40+ categories
Seamless LLM Lineage for DataHub with LangChain and LangSmith
Code behind Delgado-Chaves et al., PNAS 122(2):e2411962122 (2025): benchmarking how well LLMs screen titles and abstracts for systematic reviews in medicine against human reviewer decisions. LangChain screening pipeline + analyses.
🧠 Build a RAG-driven chatbot to answer user questions using real-world knowledge from documents, focused on mental health and social policy in Indonesia.
Find where agent-controlled intent reaches consequential actions without an authority check. Python + TypeScript + Go. Zero-dependency SAST for AI agents.
Generate code and tests automatically using LangChain, Groq, and Gemini LLMs — all from a single CLI command.
Agentic CLI tool for investigating bugs using code and logs.
Synchronous JS/TS gate that catches destructive AI-agent tool calls before they execute. AST-level SQL parsing, SSRF defense, shell metacharacters, path traversal.