Agent Field Notes

Tools

Agentic tools worth knowing about: what each does, what you gain from it, and the sources behind it.

  • Anubis

    Local models

    Mac app for testing and benchmarking local models on Apple Silicon, with live power, thermal and memory readings during inference.

    Shows whether a long agent run will throttle your machine, not just how fast a single answer is. Results can be exported or posted to a community leaderboard.

    Added 25 October 2026Codeanubis-oss on GitHub
  • asiai

    Local models

    Command-line tool that compares local AI inference engines side by side on an Apple Silicon Mac, with community benchmarks.

    Find the fastest engine for your own Mac before you build a workflow on it, and compare your numbers with other users on the same chip.

    Added 25 October 2026asiai on PyPI
  • Free scanner from Cloudflare that scores any website on how ready it is for AI agents, with fix-it prompts you can hand to a coding agent.

    If customers start sending AI agents to buy or book for them, a low score means lost sales. It takes a minute to check your own site.

  • Checks the quality of an MCP server — tool naming, descriptions, metadata for directories — and suggests concrete fixes.

    If you publish an MCP server, this tells you what stops directories and agents from picking it up, before you launch.

    Added 25 October 2026MCP Doctor on Glama
  • MetriLLM

    Local models

    One-command benchmark for local models that scores speed, quality and hardware fit, with a shareable result and public leaderboard.

    A quick way to check whether a model is usable on your hardware before committing an agent job to it. It also runs as an MCP server, so an agent can benchmark for you.

    Added 25 October 2026MetriLLM on Glama