Open Source AI Projects
Discover 275 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 LLM, Python and TypeScript. Last updated October 4, 2026.
275 repositories · updated October 4, 2026
Biomni: Run Biomedical Research Tasks with an AI Agent
Biomni is a Python agent for carrying out biomedical research tasks using language-model reasoning, retrieval, and code execution. It is aimed at researchers who want to connect natural-language questions with biomedical tools and data.
Figma-Context-MCP: Give Coding Agents Access to Figma Designs
Figma-Context-MCP is an MCP server that turns Figma file data into concise layout and styling context for AI coding agents. It is intended for developers who want agents such as Cursor to implement designs using design metadata rather than screenshots alone.
obsidian-smart-composer: Add Vault-Aware AI Writing to Obsidian
Smart Composer is an Obsidian plugin for chatting with AI using selected vault notes, searching notes semantically, and applying suggested edits. It suits writers and researchers who want AI assistance inside their note workflow, with hosted or local model options.
csm: Generate Conversational Speech from Text and Audio
CSM is Sesame’s speech-generation model, producing audio from text and optional conversation context. It suits developers building voice experiences who can run large models on a CUDA-compatible GPU and provide the required Hugging Face checkpoints.
tau: Build and Run Distributed Cloud Applications
Taubyte is a Go-based platform for building and deploying applications across local and self-managed cloud environments. It combines serverless functions, web hosting, databases, object storage, and messaging for developers and AI-assisted workflows.
hertzbeat: Monitor Systems, Metrics, Logs, and Alerts
Apache HertzBeat is a self-hosted observability platform for collecting metrics and logs, managing alerts, and publishing service status pages. It suits teams seeking agentless monitoring with configurable collection and optional collector clusters.
paper2gui: Run AI Models Through Desktop Apps
Paper2GUI is a desktop toolbox that packages AI models into ready-to-use apps for tasks such as image enhancement, speech synthesis, and video processing. It suits people who want to use these tools without building a development environment.
modular: Build and Deploy AI Models with MAX and Mojo
Modular combines the MAX framework for AI development and deployment with Mojo, a programming language and compiler. It suits developers building model-serving systems, accelerator code, or software using Mojo.
bolt.diy: Build Full-Stack Apps with Your Choice of LLM
bolt.diy is a browser-based AI coding workspace for creating, editing, and deploying Node.js web applications. It connects to many hosted and local model providers, making it useful when you want control over which LLM powers your development workflow.
CopilotForXcode: AI Coding Assistance in Xcode
CopilotForXcode brings GitHub Copilot completions, chat, and code assistance into Xcode for Swift, Objective-C, and Apple-platform development. It suits developers who want AI support inside Xcode and can meet its macOS and permission requirements.
notesGPT: Record and Summarize Voice Notes
notesGPT is a web app for recording voice notes and turning them into transcripts, summaries, and action items. It suits people who want searchable meeting or personal notes, and can be deployed with Convex, Clerk, and Together.ai credentials.
litgpt: Train, Fine-Tune, and Deploy Large Language Models
LitGPT provides implementations and workflows for pretraining, fine-tuning, evaluating, and serving a range of large language models. It suits developers and researchers who want configurable training recipes and direct control over model code.