Local-first context compression for AI coding tools. One binary saves 85-93% of redundant tokens across every LLM call.
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Updated
May 6, 2026 - JavaScript
Local-first context compression for AI coding tools. One binary saves 85-93% of redundant tokens across every LLM call.
Repository-aware execution runtime for Claude Code. AST-powered context optimization, transparent tool interception, and protocol translation for local & cloud LLMs.
Local, bounded, recoverable context projection for coding agents, with automatic Codex hooks and explicit Claude MCP acquisition.
Auto-learning codebook compression for AI agent memory. Makes context files 2-10x smaller while staying fully readable by any LLM. Zero deps, pure JS.
⚡ Absolute command over your AI agent's token budget — local-first compression of noisy tool output before it reaches the model. Claude Code / OpenCode / Codex / Gemini.
OpenClaw low-memory optimization guide for resource-constrained servers (2GB RAM)
500-token repo profile that outperforms 43k-token raw documentation dumps. Structured orientation for AI assistants.
Up to 99% token savings on AI agent context. Free. Provider-agnostic (Claude, Cursor, Codex, Cline, any MCP agent). 91.62% over 626.8M auditable tokens. Try: nuxs.ai/playground
Chrome extension that extracts ChatGPT, Claude, and Gemini conversations and compresses them into structured context using the Gemini API.
A simple, live token-savings dashboard for the Headroom LLM proxy — bundled and run with Docker Compose.
The neural insulation layer for AI coding agents. 93% token reduction, 6× longer sessions. Serena + Semble + Headroom + RTK + mem0 in one installer.
96% token compression for AI tools. Distills your project into .mem files — works with Claude, Cline, Cursor, Copilot, Continue.
Cut ~90% of Claude Code's context usage while keeping nearly all the memory
A universal /autoencode command for AI agents.
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