entroly

by juyterman1000 · Python · ★ 418

Cut your Claude / OpenAI / Gemini bill 70–95% on AI coding. Local proxy that compresses context, keeps provider caches hot, and verifies LLM output ($0 hallucination guard). Drop-in for Cursor, Claude Code, Codex, Aider + 34 more and custom providers — 30s, no code changes

#ai#ai-agents#ai-hallucination#anthropic#chatgpt#claude#claude-code#context-compression#cursor#hallucination-detection#llm#llm-grounding#mcp#mcp-server#open-source#productivity#rag#rust#token-optimization

Install

pip install git+https://github.com/juyterman1000/entroly.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "entroly": {
      "command": "uvx",
      "args": [
        "git+https://github.com/juyterman1000/entroly.git"
      ]
    }
  }
}

From the README

中文 • 日本語 • 한국어 • Português • Español • Deutsch • Français • Русский • हिन्दी • Türkçe Cut your Claude / OpenAI / Gemini bill 70–95% on AI coding. Compress context, keep provider caches hot, and verify every answer with a $0 hallucination guard. Drop-in for Cursor, Claude Code, Codex, Aider + 34 more and custom providers — 30s, 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…

Read full README on GitHub →

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