Open Source AI Agents
Discover 404 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.
404 repositories · updated October 4, 2026
kda: Guide Coding Agents Through CUDA Kernel Optimization
KDA is a workflow for using coding agents to research, implement, validate, and improve performance-sensitive CUDA kernels. It helps teams structure experiments and preserve evidence for choosing a final implementation.
Graphon: Execute Agentic AI Workflows as Graphs
Graphon is a Python engine for building and running agentic AI workflows as graphs. It suits developers who need event-driven execution, shared workflow state, and extensible integrations rather than a standalone chat interface.
browser-rs-mcp: Share Chrome with AI Agents
A Rust MCP server that lets multiple AI agents control separate tabs in one shared Chrome profile. It provides browser automation through Chrome DevTools Protocol without requiring a Node.js runtime.
teamai-cli: Share AI Workflows Across Teams
TeamAI is a Git-backed CLI for sharing AI agent resources and team context across people, machines, and coding tools. It suits teams that want agents to use consistent skills, rules, and other shared assets without manual syncing.
text-to-cad: Give AI Agents CAD and Fabrication Workflows
text-to-cad provides agent skills for creating and working with CAD, drawings, robot descriptions, and fabrication files. It suits engineering and robotics workflows where an agent needs to produce or inspect practical design artifacts.
dcc-mcp-blender: Control Blender with AI Agents
An embedded MCP server that lets AI agents operate Blender through typed tools for modeling, UVs, rigging, materials, animation, and rendering. Suited to creators and pipeline teams seeking structured, cross-DCC automation.
agent-orchestrator: Coordinate Coding Agents from Plan to Merge
Agent Orchestrator is a desktop workspace for planning and supervising multiple coding agents across a project. It gives Git-backed tasks isolated worktrees and brings agent activity, pull requests, CI, and reviews into one live view.
AutoResearch: Turn Research Ideas into Reviewable Evidence
AutoResearch is a Python agent workflow for developing AI and machine learning research ideas into experiments and reviewable evidence. It suits researchers who want a traceable, resumable process and can configure model services and experiment resources.
harnessrouter: Unify Agent Harnesses Behind One API
HarnessRouter is a self-hosted Python service that exposes multiple agent harnesses through a unified, OpenAI Responses-compatible API. It suits teams building agent features that want shared session, streaming, file, and cancellation handling across harnesses.
skills: Improve Interfaces with Agent Skills
A collection of agent skills for improving interface design, covering UI, typography, color, accessibility, layout, and product writing. Useful for designers and developers who want targeted reviews and iteration support inside an AI-assisted workflow.
guaardvark: Run a Local AI Studio on Your GPU
Guaardvark combines local AI media generation, coding agents, RAG, and automation in a self-hosted studio. It suits people who want these workflows on their own hardware and can meet its Python and GPU requirements.
AREX-Skill: Give Coding Agents Reusable ML Workflows
AREX-Skill is a library of executable, agent-readable workflows distilled from machine-learning repositories and research. Use it to help coding agents run, validate, and recover ML tasks with less unguided trial and error.