Six Separate Token-Reduction Proxies Now Have 200K+ Combined Stars, All Claiming 60–99% Cuts
GitHub·medium signal
Context compression has quietly become the most crowded new tooling category on GitHub: rtk-ai/rtk (74,640 stars, Rust, 60-90% on dev commands), headroomlabs-ai/headroom (64,556, 20% for coding agents and 60-95% for JSON), DeusData/codebase-memory-mcp (37,389, C, 99% fewer tokens), mksglu/context-mode (19,606, 98% tool-output reduction), tirth8205/code-review-graph (28,384) and yvgude/lean-ctx (3,486, 76 MCP tools) — every one of them pushed within the last 48 hours, and lean-ctx shipped v3.9.14 and v3.9.15 on consecutive days. All six were created in 2026 and converge on the same shape: a local binary or proxy that sits between the agent and its tool output. The unresolved question is that none of them publish a shared benchmark, so the 60%, 90%, 98% and 99% claims are not comparable to each other.