Open-Source AI Tools That Feel ILLEGAL To Use
Ten open-source AI tools that feel like cheating once you know them. Every one is free, most are self-hostable, and most builders have never heard of them. We cover what each tool does and when to reach for it: LiteLLM for routing every model through one API, Crawl4AI for turning messy websites into clean LLM input, Instructor for forcing structured output, and seven more worth a slot in your stack. Repos and setup notes are in the video. If you want to build more with AI and spend less doing it, start with these. #OpenSource #AITools #AI Chapters: 0:00 Intro 0:22 Number 10, Chonkie 1:53 Number 9, Marker 3:15 Number 8, Langfuse 4:37 Number 7, Qdrant 5:45 Number 6, Ollama 7:16 Number 5, DSPy 8:53 Number 4, Crawl4AI 10:15 Number 3, Outlines 11:47 Number 2, LiteLLM 13:40 Number 1, Instructor Tools & resources mentioned: - Instructor (567-labs): https://python.useinstructor.com/ - LiteLLM: https://github.com/BerriAI/litellm - Outlines (dottxt-ai): https://github.com/dottxt-ai/outlines - Crawl4AI: https://github.com/unclecode/crawl4ai - DSPy: https://github.com/stanfordnlp/dspy - Qdrant: https://github.com/qdrant/qdrant - Ollama: https://github.com/ollama/ollama - Langfuse: https://github.com/langfuse/langfuse - Marker: https://github.com/VikParuchuri/marker - Chonkie: https://github.com/chonkie-ai/chonkie About The Stack The Stack is a channel for people building with AI. Every video is a short, illustrated breakdown of the tools, models, and patterns that actually ship: Claude Code and AI coding tools, AI agents and orchestration, open-source AI tools and repos worth knowing, RAG and vector search, local and open-weight LLMs, and the model and cost calls that matter. Opinionated, evidence-led, no fluff. New breakdowns regularly. Subscribe so you catch them: https://www.youtube.com/@The-Stack-ai?sub_confirmation=1 #opensource #llmtools #aiengineering #rag #machinelearning
