Someone just open-sourced tokenminimizing (8500 stars on GitHub)
Claude Code burns an absurd amount of tokens — I said "hi" and it used 22,000 input tokens. Headroom fixes that. It's a context-compression layer that sits between your AI coding agent and the LLM, cutting token usage by 60–95% with NO drop in quality (benchmarks unchanged). It's currently the #1 trending repo on GitHub, it's free, and it runs 100% locally — your data never leaves your machine. If you're on the Claude Pro plan, this could mean genuinely building on Claude Code for ~$20/month instead of constantly topping up. ⚡ What Headroom does: • Compresses everything your agent reads — tool outputs, logs, RAG chunks, files, conversation history — before it hits the LLM • Reversible: originals are stored locally and retrieved only when needed (nothing is lost) • Cross-agent shared memory • Auto-picks the right compressor per content type (code, JSON, prose) • Works with the agents you already use: Claude Code, Codex, Cursor, Aider, Copilot CLI, OpenClaw 📉 Real token savings (quality unchanged): • Code search: 17,000 → 1,400 tokens (-91%) • Incident debugging: 65,000 → 5,000 (-92%) • GitHub issue triage: 54,000 → 14,000 (-74%) 🛠️ Install & run: pip install headroom-ai (or: npm install headroom-ai) headroom wrap claude 5 ways to drop it in: library · proxy · agent wrap (recommended) · MCP server · headroom learn. It's a more professional, more effective take on what tools like Caveman were trying to do. ⚡ Want a website / SaaS / AI tool built — or ongoing SEO? Fully transparent pricing: Marketing website €2,500 • Admin dashboard / AI system €2,500 • "Be your tech guy" €500/mo (all site changes + monthly content + product categories that rank on Google & LLMs, using SEMrush + Claude Code + Search Console) • backlinking add-on. 👉 Build your plan: https://incomestreamsurfer.com 🔗 Links: • Headroom (GitHub): https://github.com/chopratejas/headroom • Work with me: https://incomestreamsurfer.com ⏱️ Chapters: 0:00 Use Claude Code with 60–95% fewer tokens 0:16 What is Headroom? (found it trending on GitHub) 0:25 Works with Claude Code, Codex, Cursor, Aider, Copilot, OpenClaw 0:30 Who it's a great fit for (and who should skip it) 0:52 How it compares to Caveman 1:18 #1 trending on GitHub right now 1:26 What Headroom actually is (context compression layer) 1:52 "I said hi and it used 22,000 tokens" — the problem 2:07 5 ways to drop it in (library, proxy, wrap, MCP, learn) 2:31 Runs locally — your data stays on your machine 2:39 The right compressor for every content type 2:58 Reversible compression (originals stored locally) 3:15 The token savings benchmarks 3:55 Benchmarks unchanged — no quality loss 4:48 Install + pick your mode (headroom wrap claude) 5:29 A word from the sponsor (work with me) 6:40 Final thoughts #ClaudeCode #Headroom #AICoding #SaveTokens #ClaudeCodeRouter Work with ME: https://incomestreamsurfer.com Try Bright Data: https://brightdata.com/?promo=incomestreamsurfers
