Memory, context & research
headroomlabs-ai/headroom
Compress tool outputs before they reach the LLM
- 67k
- Apache-2.0
- Python
What it is and why it matters
A layer that compresses tool outputs, logs, files and RAG chunks before they reach the model, trimming irrelevant context. It ships as a library, proxy and MCP server. Its authors cite around 20% fewer tokens for coding agents and 60% to 95% fewer for JSON, keeping the same answer.
Key points
- Filters a tool's response before handing it to the agent
- Available as library, proxy and MCP server
- Savings vary by case; worth measuring whether it pays off
Where we saw it
Same category