Skip to main content
Back to trending

Locals

Run many AI agents at once on your Mac, up to 3x faster.

  • agents
  • apple-silicon
  • artificial-intelligence
  • coding-agents
  • inference-acceleration
  • inference-engine
  • macos
  • mlx-lm
View on GitHub
Stars
288
Forks
17
+ today
+1
Created
18d

Ranking data as of October 29, 2026 (UTC).

Star History

Today, hour by hour

288 stars
287288

Overview

Run many AI agents at once on your Mac, up to 3x faster. It ranks #4634 on GitTiger, gaining +1 star on October 29, 2026 (UTC).

The project is written in Python and has 17 forks. It was created 18d ago.

AI-generated summary of the repository README — may contain errors.

What it is

Locals is a Python project that runs AI models on your own Mac. Its description promises running many agents at once, up to three times faster. Topics point to Apple silicon, MLX-LM, macOS, coding agents and inference acceleration. The listed license is MIT.

Capabilities described

The README summary frames it as a local server built for agents rather than plain chat. It argues that agents make tool calls that must be correct, send long prompts that grow each turn, and often work in parallel, such as coding assistants running helpers or teams of agents splitting a task. Locals is presented as designed for that workload. The three-times speedup is a claim from the description; the supplied data does not include benchmarks or conditions. The summary is truncated, so further features are unknown.

Getting started

The supplied data contains no install or setup steps, so consult the repository README for instructions.

Installation
git clone https://github.com/Generated-Computers/Locals.git
cd Locals
# see README for setup

Frequently Asked Questions

What hardware does Locals target?

The description and topics point to Macs, specifically Apple silicon and macOS.

Is it a chat app?

No. The README summary says it is a local server for agents rather than plain chat.

Is the 3x speedup verified?

It is a claim in the repository description; no benchmark details were supplied.

What license is it under?

The supplied metadata lists MIT.