MCP ConfigsMay 13, 2026·2 min read

entroly — Context Guardrails to Catch Hallucinations

Entroly is a local context compressor that traces claims back to real code to catch hallucinations and shrink prompts. pip install then entroly go.

Agent ready

This asset can be read and installed directly by agents

TokRepo exposes a universal CLI command, install contract, metadata JSON, adapter-aware plan, and raw content links so agents can judge fit, risk, and next actions.

Native · 94/100Policy: allow
Agent surface
Any MCP/CLI agent
Kind
Mcp
Install
Pip
Trust
Trust: Established
Entrypoint
pip install entroly && cd /path/to/your/project
Universal CLI install command
npx tokrepo install 67331a45-cef1-52cd-84b8-e5ac36ec70e2
Intro

Entroly is a local context compressor that traces claims back to real code to catch hallucinations and shrink prompts. pip install then entroly go.

Best for: Teams who want a local way to reduce hallucinations and token burn

Works with: Python 3.10+, pip, popular coding agents (Claude/Cursor/Codex/Copilot)

Setup time: 1-4 minutes

Key facts (verified)

  • GitHub: 356 stars · 62 forks · pushed 2026-05-13.
  • License: Apache-2.0 · owner avatar + repo URL verified via GitHub API.
  • README-verified entrypoint: pip install entroly && cd /path/to/your/project.

Main

  • Use it as a reality check for agent output: if the answer mentions a function, file, or API, Entroly helps trace it back to a real source location before you ship the change.

  • Start with the default workflow (entroly go) to get a dashboard view, then iterate on budgets once you’ve seen savings on your real repo.

  • Treat the README’s numbers as a hypothesis you can verify: it includes a local verification/benchmark flow you can run in your own environment.

Source-backed notes

  • README headline claims 70–95% token savings and a “30-second install”, and shows a pip-based install + entroly go flow.
  • README includes a reproducible verification section that runs a claims-verification script against a repository.
  • README includes latency and benchmark tables (e.g., token savings and retrieval results) to back its compression claims.

FAQ

  • Does it require API keys?: Not for the local compression/verification flows in README; any model calls depend on your chosen agent stack.
  • Is it only for Python repos?: No — README claims it supports multiple file types and project layouts; validate on your repo.
  • How do I start safely?: Run entroly go on a small repo first, then widen scope once you trust the outputs.
🙏

Source & Thanks

Source: https://github.com/juyterman1000/entroly > License: Apache-2.0 > GitHub stars: 356 · forks: 62

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