prompt-compression

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.

Adola offers Rose 1, a prompt compression API that trims noisy context before LLM calls while aiming to preserve answer quality. The page shows quickstart code, benchmark claims, and use cases for agent traces, RAG retrieval, prompt gateways, and support copilots.

An open-source desktop client for editing LLM context with a separate AI model, context maps, compression tools, and revision rollback.