Open Source AI Projects
Discover 368 open source AI repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. AI projects here are most often combined with Python, LLM and TypeScript. Last updated October 3, 2026.
368 repositories · updated October 3, 2026
llm-d Router: Intelligent Orchestration for Multi-Phase LLM Inference
The `llm-d-router` is a sophisticated Go service designed as an intelligent entry point for large language model (LLM) inference requests. It orchestrates complex, multi-phase LLM inference pipelines across specialized worker pools, routing requests through an Inference Gateway to disaggregated vLLM workers. By exposing OpenAI-compatible APIs, it simplifies integration and leverages Kubernetes for scalable, efficient deployments.
TeamAI-CLI: Empowering Teams to Become AI Native with a Git-Based Foundation
TeamAI-CLI, developed by Tencent, is a powerful command-line interface aimed at making every team AI native. It offers a unified, Git-based platform for teams to collaborate, learn, and continuously improve with AI. This tool transforms individual AI capabilities into shared team assets, integrating AI agents, machines, and team members for enhanced efficiency.
dcc-mcp-blender: AI-Driven 3D Workflows with an Embedded MCP Server
dcc-mcp-blender is a powerful Blender addon that integrates an embedded Streamable HTTP MCP server directly into Blender. This allows any MCP-compatible AI client to seamlessly control and automate your 3D modeling, animation, and rendering workflows. It offers over 200 pre-built tools and an extensible skill system for robust production environments.
LLM Wiki: Build a Self-Maintaining, Interlinked Knowledge Base with AI
LLM Wiki is a powerful cross-platform desktop application designed to transform your documents into an organized, interlinked knowledge base automatically. Unlike traditional RAG systems, it incrementally builds and maintains a persistent wiki from your sources, ensuring knowledge is compiled once and kept current. This innovative approach offers a dynamic and evolving personal knowledge management solution.
Agent Orchestrator: Supervise Teams of Coding Agents from Planning to Merge
Agent Orchestrator is a powerful tool designed to run and supervise teams of coding agents throughout the entire development lifecycle, from initial planning to code merge. It supports a wide array of agent harnesses, including Claude Code and Codex, and operates across desktop, web, mobile, and cloud environments. This platform offers a unified workspace to manage and coordinate multiple agents, ensuring efficient and organized agent-driven development.
AutoResearch: AI/ML Research Agents from Idea to Paper-Ready Evidence
AutoResearch is an open-source agent workflow designed for AI and machine learning research. It automates the entire research process, from generating ideas and planning experiments to execution, analysis, and independent evaluation. This project helps researchers produce paper-ready evidence efficiently and with traceable provenance.
Guaardvark: Your Self-Hosted AI Studio for Agents, Media, and Code
Guaardvark is a comprehensive, self-hosted AI studio designed for local execution of advanced AI tasks. It integrates coding agents, media generation (video, image, music, voice), and robust RAG capabilities, all running on a single GPU. This platform prioritizes privacy and user control, enabling a full AI workstation experience on your own hardware.
OpenMausBot: Your Open-Source AI Bot Team in a Chat App
OpenMausBot is an open-source desktop application that provides an alternative to Grok Bot, allowing users to manage a team of AI agents within a chat interface. It emphasizes local-first operation, bringing your own agents, and providing each bot with its own virtual machine or access to your computer. This project enables powerful AI interactions with privacy and control at its core.
APort Agent Guardrails: Deterministic Pre-Action Authorization for AI Agents
APort Agent Guardrails provides deterministic pre-action authorization for AI agents, running security checks before any tool execution. This crucial mechanism prevents prompt injection from bypassing policy, ensuring robust and auditable protection for AI-driven operations.
uta: A CLI Agent Orchestrator for Parallel AI Task Management
uta is a command-line interface (CLI) agent orchestrator designed to decompose complex goals into parallel subtasks. It can dispatch these tasks to various agent CLIs like Claude Code or Gemini CLI, record every step of the process, and synthesize the final results. This tool enhances agent capabilities by enabling parallelism and cross-provider task execution.
aport-spec: The Open Agent Passport (OAP) Specification for AI Agent Trust
The aport-spec repository introduces the Open Agent Passport (OAP) specification, a critical framework for establishing trust in AI agents. It defines a lightweight, cryptographically verifiable credential, enabling real-time, pre-action authorization for AI agents across various platforms. OAP provides the essential runtime trust layer for secure and scalable agentic commerce.
Open Code Review: AI-Powered Code Review Tool from Alibaba
Open Code Review is an AI-powered command-line interface tool for code review, battle-tested at Alibaba's scale. It leverages a hybrid architecture, combining deterministic engineering with an LLM agent, to provide secure, fast, and efficient code analysis. This tool generates precise, line-level comments and supports a multi-language ruleset, ensuring high-quality code reviews.