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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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XAI - An eXplainability toolbox for machine learning
Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
FAIR Sequence Modeling Toolkit 2
[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model. 一个高质量多功能的图像修补模型,可以同时支持插入物体、移除物体、图像扩展、形状可控的物体生成,只需要一个模型
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Hierarchical agent loops with recursive self-organization.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.
OrcaReplay — Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.
Open-source (AGPL-3.0), self-hosted autonomous coding agent: label a GitHub Issue, get an independently reviewed, merged PR and a tagged release.
Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to track agent actions.
Self-Programming AI Agent Framework. Agents create and refine their own workflows.
Run a company of AI agents on a server you own. Spin up named agents (claude, codex, pi…), put them on an org chart with a shared backlog, let them hand off work and ping your phone only when a human must decide. MIT.