# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Resources for Mobile & desktop or ML / AI, Tagged `rust`: 3 items.

> - Mobile & desktop: Building and shipping iOS, Android and desktop apps.
> - ML / AI: Model training, evaluation and LLM application development.

- [Pake](https://hebbmind.com/cli/pake.md): [CLI] Packs a web page, local HTML or dist folder into a lightweight desktop app with one command (built on Rust Tauri; macOS, Windows, Linux), with --json output and llms.txt for agents. Needs Node.js; installs Rust automatically if missing.
- [goose](https://hebbmind.com/cli/goose.md): [CLI] General-purpose AI agent that runs on your machine, with a desktop app, CLI and API. Written in Rust, works with 15+ model providers and connects to 70+ extensions via MCP. Originally from Block, now part of the Linux Foundation's AAIF.
- [llmfit](https://hebbmind.com/cli/llmfit.md): [CLI] Detects your CPU, memory and GPU and scores open models on whether they run, speed, quality and context, then works with local runtimes like Ollama, llama.cpp and MLX to download and benchmark them. recommend --json gives agent-friendly output.