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Read-only tools that show what AI coding agents do to your machine — and one screen that gathers them.

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Blackberrylabs

Everything your AI agents do to your machine, on one screen. Read-only, like the tools behind it.

Small desktop tools for developers and vibe coders who run AI on Linux. Each one answers one question about your machine, shows its evidence, and never acts in your place — you read, you decide, you act with the host's own settings or a script you have read. The control tower gathers them.

Start here: the control tower

Blackberrylabs — one screen that says what is wrong on your machine on the AI side, most serious first — act now · review · good to know · information — and opens the right tool at the right place. Install it, then whichever modules you want; it works with any subset and shows the others as available.

Get it — .deb, .rpm, AppImage.

The modules

Verb What it answers
Permitt inspect What each AI assistant may do without asking — run commands, edit files, reach the network, call MCP tools — and which setting, in which file, says so. 16 hosts. Shell start-up files checked for bypass flags.
MCProster inventory Every MCP server declared on the machine, once, with the hosts and files that declare it — duplicates, secrets in clear, missing commands, skipped confirmations, what each server costs in the model's context.
Cleanator clean What AI tooling left on the disk — model stores, caches, build outputs, abandoned environments — and what could go, as a script you read and run yourself. Never deletes anything.

The promises, the same for every tool

  • Read-only. No file is written outside the tool's own preferences (and, for the tower, its saved reports).
  • No network. Nothing leaves the machine; links are shown, never followed.
  • Secrets masked the moment they are read.
  • Actions shown, never run. Each finding says what you could do; you do it.
  • Every rule sourced. The documentation sentence, the source line, or the observation behind each claim is in the tool.

Under the hood

Three shared crates, all Rust, all MIT: bbl-hostrules (where each AI assistant keeps its files, how to read them without writing), bbl-ui (the shared face), bbl-report (the contract between the tower and its modules). Adding a module to the family = a binary that answers report and one declarative sheet in the tower.

By Alexandre Do. Issues and rules welcome in each repository.

About

Read-only tools that show what AI coding agents do to your machine — and one screen that gathers them.

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