Open Source AI Agents
Discover 406 open source AI Agents repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. AI Agents projects here are most often combined with Python, Developer Tools and MCP. Last updated October 4, 2026.
406 repositories · updated October 4, 2026
Agentarium: Build and Orchestrate AI Agent Simulations
Agentarium is a Python framework for creating AI agents that interact, take context-based actions, and retain memories. Use it to prototype multi-agent scenarios, add custom actions, and save agent states for repeatable experiments.
agentevals: Evaluate AI Agent Execution Trajectories
AgentEvals provides Python and TypeScript evaluators for checking the steps AI agents take, including tool calls and graph paths. Use it to compare runs with references or have an LLM judge trajectory quality.
no-mistakes: Gate Git Pushes with AI Validation
no-mistakes routes Git pushes through an isolated, AI-driven validation pipeline before forwarding changes to a configured remote and opening a PR. It is for developers who want automated checks and fixes without disrupting their working tree.
OpenMontage: Produce Videos with AI Coding Assistants
OpenMontage gives AI coding assistants structured pipelines for researching, scripting, generating assets, editing, and rendering videos. It suits creators and developers who want to automate production while retaining control over choices and approvals.
agent-native: Build Agentic Apps with Shared UI and Actions
Agent-Native is a TypeScript framework for building applications where people and AI agents work through the same actions and shared data. It suits teams creating agent-powered tools that need an interactive UI, permissions, and workflows beyond chat.
OfficeCLI: Create and Edit Office Files from the Command Line
OfficeCLI is a cross-platform CLI for AI agents and developers to create, read, edit, and validate Word, Excel, and PowerPoint files. It combines structured commands, JSON output, and built-in document previews in a self-contained binary.
phoenix: Observe and Evaluate AI Applications
Arize Phoenix is a self-hosted platform for tracing, evaluating, and troubleshooting LLM applications. It helps AI engineers inspect runtime behavior and test changes to prompts, models, and retrieval.
freellmapi: Route LLM Requests Through One API
FreeLLMAPI is a self-hosted TypeScript router that combines free LLM provider accounts and custom OpenAI-compatible endpoints behind one API. It selects models, tracks quotas, and retries across providers, mainly for personal experimentation and development.
hiring-agent: Score Resumes with AI and GitHub Signals
Hiring Agent turns PDF resumes into structured profiles, enriches them with GitHub data, and scores them against configurable role rubrics. It is for teams exploring explainable resume prioritization, with human review remaining essential.
odysseus: Run a Self-Hosted AI Workspace
Odysseus brings AI chat, agents, research, documents, email, notes, and calendar tools into a self-hosted workspace. It suits people who want one place to work with local or API-connected models and control their own deployment.
headroom: Compress Context for AI Agents
Headroom compresses tool outputs, logs, files, and retrieval context before they reach an LLM, helping reduce token use while retaining important details. It offers local library, proxy, and MCP integrations for agent workflows.
loop-engineering: Design and Operate AI Coding-Agent Loops
A TypeScript toolkit and pattern library for designing repeatable workflows around AI coding agents. It helps teams discover work, delegate tasks, verify results, and preserve state instead of managing every step through prompts.