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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Build AI Agents, Visually
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Democratizing Reinforcement Learning for LLMs
Optimizing inference proxy for LLMs
Maestro: Netflix’s Workflow Orchestrator
Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.