Source
GitHub agents
61,058 AI agents indexed on MeshKore from GitHub. Open-source agent repositories on GitHub — the largest single origin in this catalog. Each entry links back to its repository.
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GitHub agents — page 403 of 611
An advanced AI chatbot implementation that combines the power of Groq's LLM with LangChain's tools for internet access, web searching, and conversation memory. This chatbot can search the internet, access Wikipedia, and maintain conversation context while providing informative responses.
Self bootstrapped general purpose coder AGI (the "G" is joke?).
This repository contains a project that allows users to analyze PDF files by extracting text from them and performing question-answering tasks
It shows how to use langchain for sagemaker endpoint.
A RAG application to search documents for homeopathic remedies based on patient's description of symptoms and modalities
Customer Support Bot using Langgraph
原神角色聊天ai,交流,支持以及存档 在线聊天 www.limaoyi.top:4400/
LLM Chatbot Web UI
Flan-t5 model fine tune LoRA and Langchain
Local chat with your local git based repository, built using Ollama, HuggingFaceEmbeddings, LangChain
Document research and theme identification application with multi-level citation capabilities.
LangChain application acting like a Game Master for a table top rpg of your choice.
Backend for Chat with PDF using OpenAI ChatGPT and Hugging Face Lang Chain
An Agentic RAG implementation using Langchain and a telegram client to send/receive messages from the chatbot
AI Travel Itinerary Planner is an AI-powered web application that generates personalized travel plans based on user input such as destination, budget, and trip duration. It uses LLM API integration and prompt chaining to create detailed day-by-day itineraries including sightseeing, food recommendations, and travel tips. ..
Multi agent system for demonstrating graph based collaborative multi-agent systems
LangChain Utilities for prompt generation from documents, URLs, and arbitrary files - streamlining your interactive workflow with LLMs!
Your Multi-Model AI Development Assistant - Free, Intelligent, Autonomous
Smart kitchen and Meal organization using crewai
📝 Blog Writer Crew AI Agents - Streamlit App 🖋️
AI automatic environment construction and repair, ReAct mechanism
TeamGen AI automates the creation of AI agent teams to address user requests (Developer: Eliran Wong)
Autonomous Agent - Profiling, Memory, Planning, Action, Autogen, MemGPT
Creating Agent Swarm using Open AI, Autogen and Langchain
A CUI-based simple werewolf game with `autogen`
Notebooks for the Built Multi-Agent Applications with AutoGen Course
Bu depo; Microsoft AutoGen ile yaptığım/deneysel çalışmalar, entegrasyon denemeleri ve çoklu LLM sağlayıcı karşılaştırmalı örneklerini içeren bir çalışma alanıdır.
It is an LLM powered assistant (MultiModal RAG) that can read directories, even images, to gather information about companies. You can use HuggingFace or Ollama models,Claude,OpenAI and Google LLMs.I am inspired by IBM Discovery.
Safety challenges for RL and LLM agents' ability to learn and properly apply biologically and economically aligned utility functions. The benchmarks are implemented in a gridworld-based environment. The environments are relatively simple, just as much complexity is added as is necessary to illustrate the relevant safety and performance aspects.
The AI collaboration framework that prevents echo chambers - Real-time multi-agent coordination with enforced diversity and anti-groupthink protection
The open, vendor-neutral protocol for governing the lifecycle of AI agent systems. Standardizes planning, coordination, execution, confirmation, and traceability across multi-agent runtimes and tools — enabling interoperable, observable, production-grade agent systems.
Framework-agnostic AI agent library for building single and multi-agent systems
Claude Code plugin that scaffolds a validated multi-agent ecosystem (orchestrator + N sub-agents + M skills/MCPs) from a natural-language brief. A step up from skill-creator — with semantic validation, trigger-fire evals, and custom MCP scaffolding.
This repository demonstrates how to build a Decoder-Only Transformer with Multi-Query Attention in JAX.
N8N Multi-Agent Telegram Bot: An intelligent, modular personal assistant system built with N8N. Integrates calendar, tasks, email, memory, research, and project management via specialized AI agents, all accessible through Telegram.
Robotics demos: ROS, SLAM, robust control, mobile robotics.
ProductionOS v1.0 — Claude Code plugin with 76 agents, 39 commands, and 12 hooks. Deploys specialized agents that review, score, and improve your entire codebase. Smart routing, recursive convergence, self-evaluation.
This module implements a post-training mechanism that allows a language model to explore various reasoning branches (chain-of-thoughts) using a Monte Carlo Tree Search (MCTS) framework. It selects the branch with the best answer using a cosine similarity evaluator that compares the candidate answer to a known correct answer.
A watchdog agent for Codex sessions
Multi-agent deliberation system for Claude Code - 3-vendor heterogeneous ensemble (Claude + Gemini + OpenAI)
A Python application that automates the generation of documents using multiple AI agents. Integrates with OpenAI and Anthropic APIs, enabling flexible workflows and customizable outputs for diverse business needs.
Self-hosted social simulation engine. Describe a scene. AI agents with real personalities spawn inside it and start living.
Repository containing the code and explanation of a solution to the Flatland Challenge problem.
Atlaso — desktop app + Python SDK for confidence-flagging AI agent memory. Apache-2.0.
Fabricatio is a Python library designed for building applications that leverage Large Language Models (LLMs) using an event-based agent structure. It utilizes Handlebars for templating and provides a robust framework for managing tasks, workflows, and toolboxes, enabling developers to create intelligent and efficient applications.
Autonomous trading research factory and flagship reference app for Meerkat + Goldfish
Local-first AI agent gateway — multi-agent, multi-channel, multi-provider. Open-source OpenClaw alternative.
A simple framework for multi-agent simulation in java
Rails-native Matrix SDK for building multi-agent bot systems and real-time communication features
A template repo for development with the AEA framework
A self-evolving, AI-native language and platform for intelligent agents and autonomous software.
"Open-source toolkit (Python Library, Registry API, CLI) for secure, decentralized AI agent interoperability using A2A/MCP."
Build an automated data analysis system leveraging Microsoft's AutoGen framework to create a team of specialized AI agents. This project guides you through processing CSV data, generating visualizations, and producing comprehensive reports using natural language queries.
Lets Threat Model is an AI-driven tool that helps teams identify and manage threats early in the development lifecycle. Built with extensibility and automation in mind, it brings security into agile workflows by generating actionable threat models.
The NL2SQL Agentic Runtime
Forge once. Run everywhere - universal tool compiler for AI agents.
CoAgent - Control software to log, test, and monitor generative ai applications and agents.
AniBaba is an AI-powered anime recommendation system that provides personalized suggestions based on natural language queries. Leveraging Retrieval-Augmented Generation (RAG), it understands user preferences and retrieves relevant anime from a semantic knowledge base to offer a conversational and discovery-rich experience.
Teach your LLM to dynamically call your services in Kubernetes
VeoCrafter is an automated video generation pipeline that transforms simple text ideas into engaging short-form videos using Google's VEO-3 AI model.
This repository illustrates the usage of Semantic Kernel in building Agents for Beginners
A unified interface for discovering and accessing skill configuration paths for various AI coding agents.
A platform for AI builders to list, sell, and promote AI agents, while businesses can discover, purchase, and integrate these solutions—or hire builders for custom AI development
Context Engineering - The art of providing all the context for the task to be plausibly solvable by the LLM.
Develop a Flipkart Product Recommender Chatbot using Retrieval-Augmented Generation (RAG) to provide accurate, context-aware product recommendations based on a specific dataset. The system leverages LangChain and LangGraph within a containerized microservices architecture for scalability and observability.
Control Claude Code from your phone via Telegram. Code, review, and manage multiple projects hands-free — Claude runs locally, you work from anywhere.
This project demonstrates how to leverage the Model Context Protocol (MCP) to connect AutoGen agents with Notion, enabling natural language control of Notion workspace operations. You'll build a Flask API, expose it via ngrok, and create an end-to-end workflow for AI agents to create pages, search content, and manage data within Notion.
JavaScript for MultiMindSDK – bring advanced context transfer and multi-LLM orchestration, Node.js apps, and web tools
The Notion ReAct Planner Agent is an AI daily planning system using the ReAct (Reason + Act) architecture, integrated with Notion. It understands intent, breaks natural language into steps, and executes actions via Notion APIs and external tools to manage tasks, notes, and schedules.
Local-first AI extension that turns what you read into a searchable knowledge graph with hybrid search, temporal context, and proactive recall—fully private.
An autonomous research and synthesis agent powered by Google Gemini. Features intelligent deep research, query decomposition, and safe local system control via a native Python loop
🧠AI-powered CLI tool for automatic git commit message generation
Agentic Retrieval Augmented Generation App that uses CodeAgents
A multi-agent system specialized for healthcare-related domain
🤖 Enhance AI capabilities with a collection of modular skills for specialized workflows, tool integrations, and domain expertise.
Foundational bootcamp on LLM usage (prompting & inference) → tooling & orchestration (LangChain, agents) → Retrieval-Augmented Generation (RAG) → advanced multi-tool/agent patterns.
Code repository for examples of implementing quick machine learning solutions to real-world problems
End-to-end TeamCity framework to run AI agents on SWE-Bench Lite. Spin up isolated Docker images per task, extract patches, score with the official harness, and aggregate success rates. As an example, we'll look at Junie and Google Gemini CLI
Agentic TRACE is the implementation of the framework described in: https://appliedingenuity.substack.com/p/the-verifiable-orchestrator-a-new
A real-world library of 40+ browser automation prompts for Perplexity Comet. Instantly automate coding, productivity, job search, and more just copy, paste, and run!
This project guides you through end-to-end AI agent development using Google's Agent Development Kit (ADK). You'll learn to build agents, expose them via REST APIs, create a Streamlit frontend, and deploy them to Google Cloud Run, resulting in a fully functional and production-ready AI agent application.
A Kotlin Spring AI demo uses the Agentic approach to demonstrate "Let LLM think on graph schema"
A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface
Automatically generate a structured Developer Guide from your codebase.
A simple native app for real-time monitoring of Claude Code sessions
Deploying the schedule-based Serverless Strands Agent on AWS Lambda with CDK, EventBridge and Docker
AXON — Agentic AI ohne Kontrollverlust. Open-Source KI-Agent mit Tool-Genehmigung, Audit-Trail und On-Premise Deployment.
[NeurIPS 2025 D&B] Dynamic Risk Assessment for Offensive Cybersecurity Agents
Develop a real-time AI-powered interview practice coach using voice interaction. This project involves building a full-stack system where users can practice interviews with an AI interviewer, receive intelligent feedback, and interact with an animated avatar.
An automated Video Compliance QA pipeline using LangGraph audits videos with RAG against regulatory rules. It uses Azure Video Indexer + OCR, Azure AI Search + embeddings, and GPT-4o to detect violations and generate structured JSON reports, with LangSmith tracing and App Insights monitoring.
Develop an end-to-end Retrieval-Augmented Generation (RAG) system to create a 'Document Search' application, enabling users to chat with their own data from PDFs and text files. This project emphasizes modular coding for production-ready AI applications, utilizing UV for environment setup and comprehensive data lifecycle management.
Build a robust content generation engine that automates blog creation from topics or video transcripts. This project focuses on creating a Directed Acyclic Graph (DAG) architecture using LangGraph, where specialized agents handle specific tasks such as title brainstorming and content generation, and a router manages translation workflows.
QA via natural language
DevOps Incident Responder powered by agentic AI
a portable implementation + augmentation of the workflow described in The Ralph Wiggum Playbook, combined with a Skills-Driven Development closed-loop workflow.
A python CLI tool that bootstraps production-ready GEN AI project structures with best practices and modular organization out-of-the-box
The Marketplace of All Super Systems
Quick swarm orchestration with generalist agent and a sql agent (chief recipe)