Open-Source AI Agents Directory
Find open-source AI agents you can run yourself: coding, research, browser and workflow agents, plus frameworks for building your own. Compare them by GitHub stars, licence and recent activity, see what each agent can touch on your machine, and read the dated scan report where one has run.
Coding agents, research agents, browser agents, workflow builders and agent frameworks, all open source.
AdaExplore
[COLM-LLA 2026] The official implementation for paper "AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation"
EpochGo
Autonomous, local-first multi-agent AutoML platform. Zero cloud costs, zero API keys, 100% private. Benchmarks 7 algorithms, tunes hyperparameters, and serves live in-browser predictions.
Browseruse Agent Bench
Real-world browser-agent benchmark: 210 tasks across 107 websites, multi-agent/multi-browser evaluation, reproducible leaderboard and result submissions.
Vion Protocol
Constitutional governance runtime for autonomous AI agents
ComProScanner
A python package for extracting composition-property data from scientific articles for building databases
Datarobot Agent Templates
DataRobot Agentic Workflow Templates
Shekel
LLM budget control and cost governance for AI agents. Python library for token budgets, usage limits and guardrails for OpenAI, Anthropic, LangChain, LangGraph and agentic systems.
Pixelpi
A minimal browser-agent harness - six tools, any model. pi for the browser.
Mycelium
🍄 The open-source internet for AI agents. pip install → discover → communicate → collaborate.
Browser Agent
Replayable Browser Agent
AgentHound
BloodHound-style risk analysis for multi-agent AI architectures. Parses CrewAI, Dify, LangGraph, or generic YAML into a typed capability graph and detects reachable attack paths from untrusted input to sensitive data or external action, with live control simulation.
AI Garage
Mini-Projects using Cutting-Edge AI Frameworks
Typed Evals
Fast, typed Python framework for Jev-as-a-Judge/Decision-model evaluation for LLMs, RAG, and AI agents along with human-label calibration.
GenAI GCP HF OpenAI Databricks
GenAI - Building AI Workflows | Agentic Appls | Working with LLMs | HuggingFace | OpenAI | Gemini
Crewai Go
Orchestration of autonomous, collaborative AI agents in Go — an idiomatic Go port of CrewAI.
Kakunin Samples
Runnable examples for AI agent identity & compliance — certificate issuance, scope enforcement, and integrations for LangChain, CrewAI, Next.js & more.
Summoner Core
Summoner's core SDK for building and deploying agents
Toolguard
The "Cloudflare for AI Agents". 7-layer security interceptor, real-time observability dashboard, and automated reliability testing for MCP and AI tool chains. Prevent hallucinations, prompt injection, and destructive tool calls.
Supervaizer
SUPERVAIZER is a toolkit built for the age of AI interoperability. At its core, it implements Google's Agent-to-Agent (A2A) protocol, enabling seamless discovery and interaction between agents across different systems and platforms.
Structsense
A multi-agent system for extracting structured information from unstructured text and documents. It orchestrates a configurable pipeline of AI agents — extractor → alignment → judge → human feedback — each driven by a single YAML config file.
Youtube Video Analyzer
YouTube Video Inspector is a multi-agent tool that analyzes YouTube videos by fetching metadata, analyzing comments, and generating performance reports, which can be exported as PDFs using CrewAI.
Paragent
Stateful execution layer for browser agents.
Multi Agent System Architecture For Federal Funds Target Rate Prediction
End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).
Dejevu
Jev? Déjà vu. Browser agents that run on instinct, no Jev needed. One look at the page, one call to any open model, one action. Faster than the Jev demo on Google Flights.
List refreshed November 15, 2026. Data comes from public GitHub repositories.