14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.

Unlock 2x more Claude Code and Codex usage

Auditable context engineering for AI agents: context optimization, recoverable context compression, receipts, answer verification, and MCP for Claude Code, Codex, OpenClaw.

Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.

Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).

HEWN 2.0 2026: AI Output Router for Precision Summaries & Polished Code

JavaScript/TypeScript implementation of LLMLingua-2 (Experimental)

A curated list of strategies, tools, papers, and resources for reducing LLM token costs and improving efficiency in production.

A self-improving knowledge base about LLM agent infrastructure

VL-JEPA inspired pipeline — compress images/text locally via Ollama, send compact payloads to any LLM API. Cut token costs by ~80%.

Rolling context compression for Claude Code — never hit the context wall. Auto-compresses old messages while keeping recent context verbatim. Zero config, zero latency. Works as a Claude Code plugin.

Python command-line tool for interacting with AI models through the OpenRouter API/Cloudflare AI Gateway, or local self-hosted Ollama. Optionally support Microsoft LLMLingua prompt token compression

Lossless-first prompt compression for JSON, YAML, CSV, and Markdown. Library, CLI, MCP server, desktop app, and browser extension.

A lossless token-optimization codec for LLM agents — cut input tokens up to 82%, nothing dropped, every fact kept. Drop-in proxy + one-line Python API for Claude Code, Codex, Cursor, OpenAI, Anthropic & Ollama. pip install foveance

Reverse T9 for LLMs. Free, open-source prompt compressor for your AI prompts and agents.

CUTIA: compress prompts while preserving quality

Live terminal observability dashboard for Headroom token compression

Shorthand-first token compression product with VS Code prompt bundles, exact token benchmarking, and cross-platform starter packs.

A Claude Code skill that shrinks massive prompts and files using LLMLingua to save tokens.

A curated list of techniques, tools, and research for reducing LLM token usage. Optimize context for Claude Code, Copilot, Cursor, and Aider.