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Local AI Picks

Catalogues open-weight AI models by task and device memory, showing memory needs, benchmark scores and sample outputs from its own test runs.

Actively maintained

LLM operationsEvaluation
localaipicks.com ↗
Open localaipicks.comAlternativesSet it up for my team
Local AI Picks: data, price, alternatives
At a glancechecked Oct 27, 2026

not read yet

Use

For
people who want to run open-weight AI models locally on their own hardware
Activity
Actively maintainedsite updated 5 days ago
How it runs
Self-hosted
Used for
  • check which open models fit your device's memory
  • compare local speech-to-text models by memory needs
  • run coding agents on your own machine
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 29, 2026
  • MCP servercom.localaipicks/localaipicksverified in the MCP registry
  • Stateanswers, 4 toolschecked 2026-10-29
  • Address to connectlocalaipicks.com/mcp
  • MCP docslocalaipicks.com/docs/mcpthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in LLM operationsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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From people who use itnot part of the reading

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Questions this page answers
  • What is Local AI Picks?

    Catalogues open-weight AI models by task and device memory, showing memory needs, benchmark scores and sample outputs from its own test runs. It is listed in the Atlas under LLM operations.

  • Who is Local AI Picks for?

    people who want to run open-weight AI models locally on their own hardware

  • Is Local AI Picks still maintained?

    Actively maintained: site updated 5 days ago.

  • What are alternatives to Local AI Picks?

    In LLM operations, by use: Ollama, Arena AI, Braintrust, Liquid AI, EdgeChat.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk