Stop Paying For AI: 10 Free GitHub Repos

10 free AI repos that cut tokens, add agent skills, and train tiny models, Headroom, Claude Context, agent-skills, agency-agents, SkillKit, skill-recorder, amux, last30days, Open Notebook, nanochat. GitHub hosts over 4.3 million AI-related repositories, but most 'best of' lists converge on the same dozen mega-projects. Beneath that tier sit narrowly-scoped, actively maintained tools that solve specific problems: Headroom shrinks logs and tool output before your agent reads them, cutting token usage 21, 57% in benchmarks and up to 90% on repeated JSON. Claude Context indexes your codebase into a searchable database so agents pull only relevant files, dropping token usage 39.4% on large-project searches. Agent-skills installs 25 structured instructions and 9 commands (spec, plan, build, test, review, ship) to guide agents through disciplined development cycles. Agency-agents packages 230+ specialist personas across engineering, design, testing, and security for role-specific workflows. SkillKit translates skills between agent formats so you write once and deploy across 46 different coding agents. Microsoft's skill-recorder captures desktop tasks once and converts them into reusable automations. amux runs parallel Claude Code, Codex, and Gemini CLI workers from a single dashboard with atomic task sharing and collision control. last30days searches Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web for the last 30 days ranked by engagement. Open Notebook is a self-hosted alternative to Google's NotebookLM supporting 18+ AI providers for private research notebooks. Andrej Karpathy's nanochat trains a GPT-2-capability chat model from scratch in 2 hours for ~$48 on rented cloud hardware. Every pick gets verified against what it does, what it needs to run, its license, and whether it's actively maintained, not star count. For builders and AI-curious developers who want to reduce token costs, structure agent workflows, or understand how language models actually train. Chapters: 0:00 Intro 0:43 #10 nanochat 2:13 #9 Open Notebook 3:43 #8 last30days 5:10 #7 amux 6:37 #6 Skill Recorder 8:02 #5 SkillKit 9:16 #4 Agency Agents 10:38 #3 Agent Skills 11:56 #2 Claude Context 13:37 #1 Headroom 15:02 Outro Tools & resources mentioned: - Headroom: https://github.com/headroomlabs-ai/headroom - Claude Context: https://github.com/zilliztech/claude-context - agent-skills: https://github.com/addyosmani/agent-skills - agency-agents: https://github.com/msitarzewski/agency-agents - SkillKit: https://github.com/rohitg00/skillkit - skill-recorder: https://github.com/microsoft/skill-recorder - amux: https://github.com/mixpeek/amux - last30days: https://github.com/mvanhorn/last30days-skill - Open Notebook: https://github.com/lfnovo/open-notebook - nanochat: https://github.com/karpathy/nanochat About The Stack The Stack helps you build with AI. Each video takes one tool, model, or workflow and shows how it works in a few focused minutes, with the real benchmarks and real costs. We go deep on Claude Code and Cursor for AI coding, AI agents and MCP servers, the open-source AI tools and GitHub repos most people miss, RAG and vector search, fine-tuning, and running local LLMs on your own machine with Ollama and LM Studio. We compare models like ChatGPT and Claude, test AI automation with Zapier, Make, and n8n, and flag the tools that actually ship. Subscribe for new breakdowns: https://www.youtube.com/@the-stack-ai?sub_confirmation=1 #ai tools #ai coding agents #github repos