headroom: A local context compression layer for AI agents that reduces prompt inputs before they reach an LLM.
What problem it solves AI agents often send large tool outputs, logs, files, RAG chunks, and conversation history to language models, increasing the input context that must be processed. Developers need to reduce that input while preserving important content, keeping compression local, and retaining access to original material when necessary. Key features Content-aware compression — A ContentRoute…
github.comhttps://github.com/headroomlabs-ai/headroom