Browse all 20,362 AI agents

Multi-agent simulation using LLMs. Agents autonomously decide actions for survival, reproduction, and social behavior in a grid world.This project aims to replicate a paper published in 2025 (arXiv:2

Curated collection of tools for agentic LLMs in Emacs

A multi-agent AI trading system using LLMs to optimize strategies and adapt to market conditions in real-time.

Autonomous AI-powered stock trading agent with multi-model support (GPT-4o, Claude, Gemini) and Alpaca paper trading integration

LLM Cost Monitor & Usage Tracker for n8n

irresponsible innovation. Try now at https://chat.dev/

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Co

Stop re-explaining your research to your AI agent. Persistent, LLM-maintained wikis that compound over time. Drop PDFs, URLs, YouTube - your agent remembers forever. Based on Karpathy's LLM Wiki patte

An LLM-maintained knowledge wiki run by a multi-agent "newsroom" — local-first, API-key-free, a structured alternative to RAG.

The GoLang Fullstack LLM Framework(llm intergration、cache、route、rag、ai agent、program、engine app、optimizer、speech)

Asynchronous LLM Agent playing games of Mafia against human players

multi-depth architecture views for code understanding and generation in extremely fast speed

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

An extended project of the LLM Compiler paper, focusing on developing LLM-based Autonomous Agents.

LLMFlow Search agent processes complex queries, deep searches, and synthesizes information from the web.

Create an AI-powered game based on your own ideas

Streaming-first multi-provider LLM client in TypeScript with home-made tool calling

Autonomous pentesting agent — Claude Code Hackathon (Feb 10-16, 2026). The LLM builds the automation that replaces itself.

LLMlight is a lightweight Python library for running local language models with built-in memory, retrieval, and prompt optimization, requiring minimal dependencies.

Agenetic AI & GenAI (Groq, Mistral, LangChain, LangGraph, RAG, Vector DBs), Cloud (GCP, AWS, Kubernetes, GKE, ECS Fargate), DevOps/LLMOps (Docker, Jenkins, GitOps, ArgoCD, Prometheus, Grafana, ELK Sta

AI visibility intelligence platform (like SEO, but for AI: analyze and optimize how LLMs and AI search engines perceive, cite, and recommend brands. Generative Engine Optimization (GEO).

Qt C++ library for working with AI/LLM Providers and MCP

This repository introduces the Letta framework, empowering developers to build LLM-based agents with long-term, persistent memory and advanced reasoning capabilities. It leverages concepts from MemGPT

Various LLM resources and experiments

Full-stack LLM Engineering Lab. Features: Autonomous Agents (ReAct/AutoGPT) | Fine-Tuning Llama/Mistral (SFT/DPO) | Large Model Deployment (DeepSeek 671B / 2.5-bit) | Advanced RAG (Hybrid Search) | Fu

An LLM-Based Goal-Oriented Autonomous Agent for Space Exploration

An autonomously running AI agent, serving as a notification assistant or fully automatic trigger operation, with a modular design that makes it easy to add or modify content.

No-code multi-agent framework to build LLM Agents, workflows and applications with your data

A micro LLM multi-agent system for data analysis

The .NET library to build AI agents with 30+ built-in connectors.

Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !

LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain

What does this template do?

This workflow includes advanced features like text summarization and tokenization, it's ideal for automating document processing tasks that require parsing and summarizing text data from Google Drive.

This workflow automatically downloads a CSV from the web, and parses it in a format that n8n can access. It then ensures that the data from the CSV is matched to the names of the columns in the databa

🧠 This workflow is designed for one purpose only, to bulk-upload structured JSON articles from an FTP server into a Qdrant vector database for use in LLM-powered semantic search, RAG systems, or AI a

Agentic GraphRAG system for loan compliance monitoring and financial crime investigation in Australian financial services. Built on Neo4j, Claude, and APRA prudential standards. Features a multi-agent

Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your phone

A simple studio to use agent

A privacy-first, self-hosted AI assistant that plugs directly into your Home Assistant stack, this project turns local LLMs into a practical automation brain—capable of understanding natural language,

Practical guide to running LLMs locally on Apple Silicon, with a focus on architecture, memory scaling, and agent workflows.

A self-hosted AI toolkit running locally via Docker Compose, bundling an LLM gateway, workflow automation, and a chat UI — all backed by a shared PostgreSQL database.

Build a 100% local RAG with n8n, Ollama and Qdrant. This agent uses a semantic database (Qdrant) to answer questions about PDF files.

synthetic dataset generation workflow using local file resources for finetuning llms.

🚀 n8n Local AI Agentic RAG Template

Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

Local-first GenAI lab with a React frontend and Spring Boot backend, supporting Ollama, Amazon Bedrock, and Hugging Face, plus MCP-backed AWS tools, streaming chat, persistent sessions, and artifact/r

MCP server for accessing VS Code/Cursor's Local History

Python agent connecting local LLM and local SearxNG for web search

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

LMCP — Give your AI native access to your apps. 189 tools across macOS and Windows. Mail, Calendar, Teams, OneDrive, Outlook, Google Drive and more. 100% local.

Persistent local memory for Claude, Cursor & Codex. 13 MCP tools, SQLite + FTS5 + Knowledge Graph. No cloud, no API keys. One command: npx @studiomeyer/local-memory-mcp

Autonomous security agent on Kali Linux using Qwen 2.5-14b with LM Studio

AI agents platform that gives you a workspace with an integrated team of personal assistants that can work behind the scenes to handle daily monotonous tasks.

User interface for the Local Operator on-device agent environment. Local Operator is an AI agents platform that gives you an integrated team of personal assistants that can work behind the scenes to

Universal MCP server enabling any LLM or AI agent to utilize expert skills from your local filesystem. Reduces context consumption through lazy loading. Works with Claude, Cline, and any MCP-compatibl

Local-model-first AI agent framework — Router + Specialist architecture for Ollama

Model-agnostic agent harness for local LLMs — configure agents in YAML and run them on your own hardware (vLLM, Ollama, LM Studio, llama.cpp).

Virtual SMS agent that qualifies leads