Curated 11 token-optimization tools into one installer — what am I missing?

Reddit r/AI_Agents 07/24/26, 09:34 AM Tools

Summary

A developer shares a curated installer that packages 11 token-optimization tools to help AI agents manage context and reduce token usage, asking the community for additional recommendations especially for multi-agent setups.

My agent kept re-reading the same files every session and swallowing entire build logs. Found a dozen small tools that each fix one piece, spent way too long figuring out which ones stack. Collected them behind one checkbox menu: OpenSpec — persistent spec layer, requirements survive sessions RTK — compresses git/test/build output before it hits context ccusage — local token + cost trend Codesight / Graphify / Repomix / code2prompt / Caveman / gh-aw / LLMLingua — optional Headroom — proxy, off by default No made-up savings number: aito verify measures actual before/after and writes a report you can reproduce. MIT, bash, no curl | bash, no telemetry. repo in comments :) What should be on this list that isn't? Especially multi-agent stuff — that's where my context dies fastest

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