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mudler
LocalAI
Go2023–2026
mudler / LocalAI

LocalAI

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

29Distinct people
40Mentions
0Explicit recommenders
50.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year40 dated mentions

Observed mentions: 2023-04-24 16:59:11 UTC to 2026-08-28 22:12:49 UTC.

01020302023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 31 mentions; 2 submissions, 29 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 7 mentions; 3 submissions, 4 comments20242025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC31229
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC734
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC110

What Hacker News says

40 sources
braintrust-proxy: https://github.com/braintrustdata/braintrust-proxy LocalAI: https://github.com/mudler/LocalAI E.g promptfoo and chainforge have multi-LLM workflows. Promptfoo has a YAML configuration for prompts, providers,: https://www.promptfoo.dev/docs/configuration/guide/ What is the system prompt, and how does a system prompt also bias an analysis? /? "system prompt" https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
In Show HN: Adding Mistral Codestral and GPT-4o to Jupyter Notebooks
"WebNN: Web Neural Network API" https://news.ycombinator.com/item?id=36158663 : > - Src: https://github.com/webmachinelearning/webnn W3C Candidate Recommendation Draft: > - Spec: https://www.w3.org/TR/webnn/ > WebNN API: https://www.w3.org/TR/webnn/#api : >> 7.1. The `navigator.ml` interface >> webnn-polyfill E.g. Promptfoo, ChainForge, and LocalAI all have abstractions over many models; also re: Google Desktop and GNU Tracker and NVIDIA's pdfgpt: https://news.ycombinator.com/item?id=39363115 promptfoo: https://github.com/promptfoo/promptfoo ChainForge: https://github.com/ianarawjo/ChainForge LocalAI: https://github.com/go-skynet/LocalAI
In Chrome is adding `window.ai` – a Gemini Nano AI model right inside the browser
Your hardware should be fine for inferencing, as long as you don't bother trying to get the GPU working. My $0.02 would be to try getting LocalAI running on your machine with OpenCL/CLBlas acceleration for your CPU. If you're running other things, you could limit the inferencing process to 2 or 3 threads. That should get it working; I've been able to inference even 13b models on cheap Rockchip SOCs. Your CPU should be fine, even if it's a little outdated. LocalAI: https://github.com/mudler/LocalAI Some decent models to start with: TinyLlama (extremely small/fast): https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v0.3-GGU... Dolphin Mistral (larger size, better responses: https://huggingface.co/TheBloke/dolphin-2.1-mistral-7B-GGUF
In Local LLM's to run on old iMac / Hardware

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