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Are your AI coding agents racking up massive API bills, or worse, quietly uploading your entire local Git repository to the cloud? Discover the top 10 fastest-growing open-source AI GitHub repositories right now, including how codebase-memory-mcp uses tree-sitter and LSP to replace context-heavy RAG, and why JetBrains proved that the 74,000-star Rust Token Killer (RTK) actually makes your OpenAI and Claude API bills more expensive. 🔔 Subscribe: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w?sub_confirmation=1 💙 Become a Member: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w/join 🐦 Twitter/X: https://x.com/cloud_codes 💬 Discord: https://discord.gg/4kJqEBMMf In this technical breakdown, we expose the reality of the AI engineering stack in 2026. We look past the massive star counts to find out which scaffolding tools actually work. From running a 26B Gemma 4 Mixture-of-Experts model on an 8GB MacBook Air using turbo-fieldfare's SSD streaming, to uncovering the xAI Grok Build privacy scandal where gigabytes of untracked secrets were sent to Google Cloud. We also explore Y Combinator's qm multiplayer harness, OpenAI's new Codex Security scanner, and Andrew Ng's OpenWorker. If you want to know which AI middleware, local inference runtimes, and security harnesses are actually worth your time, drop a like and subscribe for more deep dives into software architecture and AI system design! 🔗10 Repositories Mentioned: RTK (Rust Token Killer): https://github.com/rtk-ai/rtk codebase-memory-mcp: https://github.com/DeusData/codebase-memory-mcp Grok Build (xAI): https://github.com/xai-org/grok-build qm (Y Combinator): https://github.com/yc-software/qm OpenWorker (Andrew Ng): https://github.com/andrewyng/openworker Turbo Fieldfare: https://github.com/drumih/turbo-fieldfare Nativ: https://github.com/Blaizzy/nativ Codex Security (OpenAI): https://github.com/openai/codex-security T3MP3ST: https://github.com/elder-plinius/T3MP3ST no-ai-slop: https://github.com/petergyang/no-ai-slop ⏱️ TIMESTAMPS: 00:00 - The 170,000 Star Illusion (Scaffolding vs Models) 00:42 - 1. RTK (Rust Token Killer) & The JetBrains Study 03:32 - 2. codebase-memory-mcp (LSP Graph Indexing) 05:48 - 3. Grok Build (The xAI Git Privacy Scandal) 08:06 - 4. qm by Y Combinator (Multiplayer Agent Harness) 09:22 - 5. OpenWorker by Andrew Ng (Strict Permission Modes) 11:27 - 6. turbo-fieldfare (Gemma 4 26B on an 8GB Mac) 13:11 - 7. Nativ (Local MLX Inference Server) 14:22 - 8. OpenAI Codex Security Scanner 16:24 - 9. T3MP3ST (Offensive Security Meta-Harness) 18:09 - 10. no-ai-slop (Fixing AI Writing Tropes) 19:15 - The Final Verdict on Open Source AI #aiagents #github #opensourceai #softwareengineering #machinelearning #systemdesign #developerproductivity #cloudcodes User Queries: top ai github repositories for coding agents 2026 rust token killer rtk jetbrains benchmark test how to run gemma 4 26b on 8gb macbook air xai grok build cli git privacy leak explained codebase memory mcp tree sitter lsp ai agents openai codex security scanner github tutorial y combinator qm multiplayer ai agent harness andrew ng openworker local ai agent setup t3mp3st offensive security ai meta harness how to reduce ai api token bills context window

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