Helping users determine which local LLMs are compatible with their hardware. It is catalogued under Other AI on PulseGate.

Who should use llmscan?

llmscan is an open-source project built for developers.

Yes — llmscan is open source under the MIT license and free to use.

What platforms does llmscan run on?

llmscan runs on the web and the command line. It can also be self-hosted.

Is llmscan still maintained?

The GitHub repository shows 12 commits in the last 90 days.

What projects are similar to llmscan?

Similar projects tracked by PulseGate include lmscan, llms-py, and llm-grill.

Who develops llmscan?

llmscan is developed by adityaarakeri.

Back to the index

llmscan

Name: llmscan
Author: adityaarakeri

github.comInfrastructure

A fast, modern CLI that shows which local LLMs fit on your machine

Open SourceMITWebCLISelf-hosted

Visit github.com

20stars

1alternative

5features

2026since

Overview

5 features

In the Other AI space, llmscan takes a focused approach. Helping users determine which local LLMs are compatible with their hardware. llmscan is an open-source project aimed at developers. The project is open source (MIT). It runs on the web and the command line, and it can be self-hosted.

adityaarakeri builds and maintains llmscan, and it first shipped in 2026. The project is developed in the open on GitHub with 20 stars and 12 commits in the last 90 days. Key capabilities include Local LLM scanning, hardware compatibility check, and CLI interface.

Local LLM scanning
Hardware compatibility check
CLI interface
MIT licensed
Fast performance

Built with & integrations

Runs on

BrowserCLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 20Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed16 Jun · 05:41 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about llmscan

What is llmscan?: Helping users determine which local LLMs are compatible with their hardware. It is catalogued under Other AI on PulseGate.
Who should use llmscan?: llmscan is an open-source project built for developers.
Is llmscan free?: Yes — llmscan is open source under the MIT license and free to use.
What platforms does llmscan run on?: llmscan runs on the web and the command line. It can also be self-hosted.
Is llmscan still maintained?: The GitHub repository shows 12 commits in the last 90 days.
What projects are similar to llmscan?: Similar projects tracked by PulseGate include lmscan, llms-py, and llm-grill.lmscan llms-py llm-grill
Who develops llmscan?: llmscan is developed by adityaarakeri.
How long has llmscan been around?: llmscan first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 20
License: MIT
Built for: developers
Model: Open source
Solves: Helping users determine which local LLMs are compatible with their hardware.

Registered as

GitHub: adityaarakeri/llmscan
PyPI: llmscan

Developer

adityaarakeri

Solo developer

GitHub

Open source

View on GitHub

Stars: 20
Forks: 0
Open issues: 0
Last commit: 18 Apr 2026
Commits 90d: 12
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Identity confidence: Medium · 77.4
Indexed: 16 Jun 2026
Lifecycle: Alive
Last seen: 16 Jun 2026

Identity audit (12)

Slug: llmscan-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 16 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by the 2026 taxonomy migration.
Summary from: Taken from the package registry entry.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/adityaarakeri/llmscan

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do