An open-source educational course teaching 18 lessons on building AI agents, covering agentic design patterns, tool use, RAG, multi-agent systems, planning, memory management, and security. Includes Python code samples with Microsoft Agent Framework and video tutorials.
Open source. Open possibilities.
Discover quality open-source projects, submit projects anonymously, and claim and edit your own project.
A little curiosity. A world of open source.
THE FIRST COLLECTIONHaystack is an open-source AI orchestration framework for building production-ready LLM applications, RAG systems, and autonomous agents in Python.
Deep Lake is a serverless multimodal database for AI that combines vector search with storage for embeddings, images, video, audio, and documents. It streams data directly from cloud storage to PyTorch/TensorFlow, supports versioning, and integrates with LangChain, LlamaIndex, and Weights & Biases.
OpenViking is an open-source context database for AI agents that unifies memory, knowledge RAG and skills under a virtual filesystem (viking://). It offers layered context loading, directory-scoped retrieval, session-to-memory extraction, SDKs, MCP integrations and a self-hostable server.