Radar / AI coding tools / billion-context
billion-context: context-compression proxy for month-long agent sessions
Proxy/plugin that sits between any coding agent and its model API, injecting model-driven incremental hierarchical compression so a single session can run for months with ~5x fewer tokens.
Why it matters
Self-reported 4.5-month longitudinal study (174k model calls, ~19B input tokens, zero window violations) and support for 20+ agent clients (Claude Code, Codex, Gemini CLI, Qwen Code, etc.) via native plugins, launchers or URL prefix.
What you could build with it
A developer running week-long agent sessions could route traffic through billion-context's proxy to keep prefix-cache hit rates high while folding weeks of history into reversible compressed summaries.
Does it hold up?
The 18.76B-token longitudinal study and benchmark numbers are author-reported; the repo is highly active (190 releases) and widely installed via npm, but third-party validation of the compression-quality claims is absent.
Learn more
First spotted on github: source.
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