Headroom
Open-source pickAgent WorkflowsReversible context optimization and compression layer (CCR) that keeps logs and tool outputs within LLM limits.
Headroom package details
Open-source curation scope
This listing is a convenience wrapper for discovery, attribution, setup links, install commands, and agent guidance. This package curates public setup links, install commands, and agent instructions. It does not bundle or relicense the upstream project unless explicitly stated. Users can also go directly to the public upstream source linked on this page.
How to get started
Install RAPR AI
Download and install RAPR AI on your computer
Find in Marketplace
Open RAPR AI, go to Packages, and browse the marketplace
Install from Marketplace
Click Install. RAPR sets up the wrapper package, connector guidance, or skill instructions for this listing.
Headroom
Headroom is a context-optimization and compression proxy for AI agents. It intelligently compresses verbose console logs, long histories, and tool outputs before they reach the LLM, significantly reducing token consumption while maintaining the ability to retrieve the original data on demand.
What you can do
- Context Compression: Compress terminal outputs, logs, and tracebacks automatically.
- Token Optimization: Prevent out-of-context errors and lower API costs during long agent runs.
- Reversible Reconstruction: Restore original uncompressed logs when detailed inspection is needed.
Installation
Install using the marketplace install button or run rapr install headroom.
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