token reduction

Headroom is an open-source context compression layer for AI agents. It compresses tool outputs, logs, files, RAG chunks, and conversation history before they reach the LLM, with support for a library, proxy, and MCP server.

Turo is a CLI proxy that reduces prompt text to content words to save tokens for coding agents. The repo shows install options, command examples, and support for multiple agents and modes.

Go-native CLI proxy that reduces noisy command output before it reaches an LLM context, with retention checks, exit-code preservation, and token-saving history.

A local Rust-plus-Python middleware layer for LLM apps that claims to reduce token usage and add in-process security checks before prompts are sent to a provider.

Local-first Python SDK for AI agents that compresses web pages before LLM use, flattens Shadow DOM, builds action maps, and extracts structured data from tables, forms, and lists.