headroomlabs-ai on GitHub

headroom

Read the source on GitHubProject homepage

What it does

An editorial selection.

Compression layer for everything an agent reads: tool outputs, logs, RAG chunks, files and history. Runs locally as a library or a proxy.

Why it is listed

Same answers on fewer tokens, and no content leaves your machine. The proxy mode needs no code changes.

GitHub describes it as: Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Counts were observed on 27/10/2026, 23:15:40 UTC. Observations older than 36 hours are excluded from current movement rankings.

Repository at a glance

Stars
78,040
Forks
6,071
Open issues
291
Merged PRs
2,197
Commits, last 30 days
439
Stars, 7 days
unavailable
Stars, 30 days
unavailable

Counts observed on 27/10/2026, 23:15:40 UTC. Growth uses complete dated windows; see Methodology.

History

History: 2 observations, 2026-10-27 to 2026-10-28. Dots are observations; lines connect consecutive daily observations only.

Project details

Language
Python
Licence
Apache-2.0
Created
Last push
Observed

Explore and get started

Use the project's own documentation for supported platforms, dependencies and installation steps. The README and release notes are maintained by headroomlabs-ai.

Development context

These are observations of work in the repository. They do not establish quality, security or support commitments.

Total commits on default branch
3,377
Open pull requests
287
Closed issues, lifetime
1,000
Median time to close an issue
2.5 days
Median time to merge a pull request
2.6 days

Close and merge times use up to 20 most recently updated closed issues or merged pull requests. They omit unresolved work and are context, not a maintenance score. Sample limits.

Other projects in Context, Memory & Cost, ordered by shared topics and then name. These are discovery links, not equivalence claims.

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