GraphCanon updated 2w · GitHub synced 2w
Decision brief
Know exactly what your AI agent saw with Entroly.
Good fit when
- When you require proof of evidence selection to ensure transparency in model decisions, use Entroly.
- Use Entroly when working on projects that demand context-control and auditing across multiple coding agents like Cursor or Claude Code.
Avoid when
- Avoid using Entroly if your AI workflows are already finely optimized for minimal intervention and do not benefit from additional context management layers.
- Do not use Entroly if you have no need for replayable Context Commits, which Entroly offers to trace evidence selection and omissions.
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 2w
- Provenance
- Not a fork · Personal account
- As of 2w
- Security (OSV)
- 1 medium (1 medium)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install entrolySimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Local context-control plane for AI coding agents that manages evidence selection, compresses and keeps caches hot, verifies answers, and serves as an MCP/proxy/SDK for Cursor, Claude Code, Codex, and Aider among others.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 4, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 4, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 4, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 4, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 4, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 4, 2026)
| 📦 **Node / npm** | `npm install -g entroly` | The same engine, if you'd rather not install Python |Source link
Source: README excerpt (regex_v1, Aug 4, 2026)
> **Not sure which one?** Pick **Python**. It's the complete version and whatSource link
Tags
README
Install
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, if you'd rather not install Python |
| 🦀 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 # checks the install really does what this page claims
entroly simulate # shows how much smaller YOUR project would get
Both run locally. Neither one calls an AI or costs anything.
Extras (entroly[proxy], entroly[native], entroly[full]), the standalone
Rust binary, and uninstall steps: Engine & install options.
For agents
This page has a .md twin and JSON over the API.