AI context optimization platform for files, conversations, RAG, code, logs and AI agents with context compression, evidence preservation, content-addressed recovery and auditable Context Receipts.
# Add to your Claude Code skills
git clone https://github.com/juyterman1000/entrolyLast scanned: 5/23/2026
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}entroly is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by juyterman1000. AI context optimization platform for files, conversations, RAG, code, logs and AI agents with context compression, evidence preservation, content-addressed recovery and auditable Context Receipts. It has 437 GitHub stars.
Yes. entroly passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/juyterman1000/entroly" and add it to your Claude Code skills directory (see the Installation section above).
entroly is primarily written in Python. It is open-source under juyterman1000 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh entroly against similar tools.
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This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
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| Live metric | Meaning | Source of truth |
|---|---|---|
| Tokens saved | Cumulative tokens reduced by the active Entroly workload | Local value ledger plus entroly.proxy.tokens.saved / entroly_proxy_tokens_saved_total |
| Estimated cost avoided | Modeled USD value of provider-bound input reduction using configured pricing | Local value ledger; provider invoice remains billing truth |
| Compression tokens saved | Canonical whole-request savings excluding measured tool-schema deferral | entroly.proxy.tokens.compression_saved / entroly_proxy_compression_tokens_saved_total |
| Tool-schema tokens deferred | Savings from a caller explicitly limiting the active tool set with X-Entroly-Active-Tools |
entroly.proxy.tokens.tool_schema_saved / entroly_proxy_tool_schema_tokens_saved_total |
Live means measured by Entroly, not a fabricated global number. Exact totals stay in each installation's local Value Receipt. Separately opted-in proxy installations may contribute a conservative community lower bound: every provider-bound delta is rounded down to whole 1,000-token units and whole cents before upload, with no prompt, content, model, price, or exact per-request value. It is not an exact worldwide total or provider invoice. Run
entroly value,entroly value --json, or openentroly dashboardfor your exact local cumulative totals. For the public-counter contract and proxy metrics, see Live tokenomics and Metrics & Monitoring.
Tool schemas are never hidden by a relevance guess. To opt in for a request,
send a comma-separated active set such as
X-Entroly-Active-Tools: search_files,read_file. Forced tool choices and
unnamed provider tools remain available; an invalid or non-matching set leaves
the request unchanged.
Use Entroly at the SDK, framework, proxy, MCP, plugin or agent boundary. A listed name is not automatically a claim that hosted subscription inference is intercepted; provider-bound savings exist only when the request traverses an Entroly-controlled route.
| Direct, tested paths | Guided or bounded paths |
|---|---|
| Vercel AI SDK middleware · OpenAI SDK · Anthropic SDK | Agno · Strands Agents · CrewAI · AutoGen |
| LangChain · LiteLLM · MCP | Claude Code on Vertex AI · Claude Code on Azure AI Foundry |
| OpenClaw · OpenCode | Claude Code in VS Code · VS Code Copilot · Grok |
Open the complete verified integration and operations hub →
AI coding assistants have a memory limit. Hand one your whole codebase and it gets slow, expensive, and distracted — like giving someone a 500-page manual when they only needed page 47.
Entroly finds page 47.
It sits between your code and the AI, reads everything, and passes along only the parts that matter for the question actually being asked. Three things make that safe to do:
| 💰 Your bill goes down | Fewer words sent to the AI means a smaller invoice. How much depends on the job — see the real numbers below. |
| 🔍 Nothing is lost | Whatever Entroly sets aside is kept and can be pulled back exactly as it was, character for character. |
| 🧾 You can check its work | Every decision comes with a receipt: what was kept, what was left out, and why. |
| Do I have to change my code? No. Entroly works with the tools you already | |
| use — Claude Code, Cursor, Copilot and 30+ others — and runs in the background. |
Do I need to pay for anything to try it? No. The two commands in the Install section below run entirely on your own machine, with no API key, and show you real numbers on your own project before you connect anything paid.
Not sure which one? Pick Python. It's the complete version and what most people use. The others are alternate ways to run the same engine. | Platform | Install | What you get | |---|---|---| | 🐍 Python (pip) — recommended |
pip install -U entroly| Everything: the command-line tool, the server your AI editor talks to, and the code library | | 📦 Node / npm |npm install -g entroly| The same engine, nothing Python required | | 🦀 Rust (source build) |cd entroly-core && cargo build --release --bin entroly-rs --features proxy| One self-contained program, no Python or Node needed | | 🍺 Homebrew |brew install juyterman1000/entroly/entroly| The command-line tool on macOS/Linux | | 🐳 Docker |docker pull ghcr.io/juyterman1000/entroly:latest| Runs in a container, nothing installed on your machine | Now check that it worked — free, offline, no API key:
cd /your/repo
entroly verify-claims
entroly simulate
Both run locally. Neither one calls an AI or costs anything.
Extras (entroly[proxy], `entroly