headroom sits between agent and LLM, compressing tool outputs, logs, RAG chunks, files and history before they hit the model, claiming the same answers on far fewer tokens. Stars went vertical as model costs rose.
/r/r/claudeskills
A curated toolkit targets different token-waste vectors: output verbosity, terminal noise, code review context, tool output overflow, CLAUDE.md bloat, codebase loading via vector search, and symbol navigation.
/r/r/AskVibecoders
DeepTutor lets you upload textbooks/PDFs and creates a personal AI tutor with 10,300 GitHub stars. Positioned as free alternative to tutors/Coursera. Comments mostly skeptical - concerns about hallucinations, low-effo...
/r/r/LovingOpenSourceAI