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
gemini-cli: Use Gemini as an Agent in Your Terminal
Gemini CLI brings Gemini models into a terminal-based agent for working with code, files, shell commands, and web information. It suits developers who want interactive assistance or scriptable workflows, with support for custom tools through MCP.
Ditto: Generate Flask Apps from Natural Language
Ditto is an experimental coding agent that turns a plain-language app description into a multi-file Flask application. It suits developers exploring LLM-assisted scaffolding, but the project is a quick exploration rather than a maintained production tool.
SWE-agent: Use Language Models to Fix GitHub Issues
SWE-agent gives a language model tools to work on real software repositories, including diagnosing and attempting to fix GitHub issues. It is designed for software engineering research and configurable coding tasks, though its maintainers now recommend mini-SWE-agent for new use.
flyte: Orchestrate ML Pipelines, Models, and Agents
Flyte is a workflow orchestration platform for running machine learning pipelines, models, and agents at scale. Its Python-first SDK supports async tasks, distributed execution, and serving, with a Kubernetes-native open-source backend for Flyte 2 still in development.
openapi-servers: Expose Tools to AI Agents Through OpenAPI
openapi-servers provides FastAPI reference servers for connecting AI agents and workflows to external tools and data through standard REST APIs. Use its examples to build or host services such as filesystem, Git, weather, SQL, and RAG tools.
plexe: Build Machine Learning Models from Prompts
Plexe turns a natural-language description and tabular dataset into a trained, packaged machine learning model through a multi-agent workflow. It is aimed at developers and data teams who want to automate model selection and iteration while retaining control over configuration and deployment.
gpt-engineer: Generate and Improve Code from Natural Language
gpt-engineer is a Python CLI for turning natural-language specifications into code and iterating on existing projects with AI. It suits developers experimenting with code-generation agents who want a hackable local workflow.
ComfyUI-Copilot: Add AI Assistance to ComfyUI Workflows
ComfyUI-Copilot is a custom node that helps ComfyUI users create, debug, and revise image-generation workflows with AI assistance. It is useful for creators and developers who want workflow support and parameter tuning inside ComfyUI.
Operit: Run AI Agents and Chat on Android
Operit is an Android AI agent platform that connects cloud or local models to device tools, terminals, browsers, and project workspaces. It suits Android users who want AI-assisted automation, development, and chat in one app.
53AIHub: Manage AI Agents, Knowledge, Prompts, and Tools
53AIHub is an AI portal for organizations that want to publish and operate agents, prompts, tools, and knowledge bases in one place. It connects to platforms such as Coze, Dify, FastGPT, and RAGFlow, with options for cloud or self-hosted deployment.
TaskSync: Coordinate AI Coding Agents With Human Feedback
TaskSync helps developers manage AI-assisted coding work through feedback loops, task queues, and autonomous agent workflows. It offers a VS Code extension, terminal prompts, and a separate MCP server option.
browserable: Automate Browsers for AI Agents
Browserable is a self-hostable browser automation library for AI agents. It runs natural-language tasks such as searching websites, filling forms, and extracting information, with a JavaScript SDK and REST API for integration.