entroly

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Know exactly what your AI agent saw.
Entroly creates replayable Context Commits: content-addressed proof of the evidence selected, omitted, and kept recoverable for each model request.

_{Drop-in for Cursor, Claude Code, Codex, Aider + 34 more and custom providers — 60s, no code changes.}

_{Auditable context control plane · every answer gets a receipt: what was used, what was omitted, why, and the risks that remain · local-first · Rust + WASM · reversible · savings measured on real workloads}

pip install -U entroly && cd /your/repo && entroly verify-claims && entroly simulate

Get started · Proof · Integrations · What's inside · Architecture · For teams · Limitations

 

Deciding whether to star? Run the no-key proof first: entroly verify-claims && entroly simulate.
_{If it finds meaningful savings or gives you auditable receipts on your repo, star it so other agent builders can find it. If it does not, open an issue with the verification JSON.}

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What it does

Entroly is an auditable context control plane for AI agents. It decides what context to send, records what it left out, and produces a receipt you can inspect before trusting a hard multi-file answer.

Most compression tools shrink whatever text the agent already chose. Entroly starts one step earlier: it chooses the highest-value evidence first, compresses only after selecti