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zatevakhin
obsidian-local-llm
TypeScript2024–2024
zatevakhin / obsidian-local-llm

obsidian-local-llm

Obsidian Local LLM is a plugin for Obsidian that provides access to a powerful neural network, allowing users to generate text in a wide range of styles and formats using a local LLM.

3Distinct people
3Mentions
0Explicit recommenders
138GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Obsidian Local LLM is a plugin for Obsidian that provides access to a powerful neural network, allowing users to generate text in a wide range of styles and formats using a local LLM.

GitHub

Where it is used

No documented product use has been verified yet.

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

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 week3 dated mentions

Observed mentions: 2024-02-14 18:10:38 UTC to 2024-05-08 18:34:50 UTC. Weeks start Monday, UTC.

0122024-02-12 00:00:00 UTC to 2024-02-19 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsFeb 122024-02-19 00:00:00 UTC to 2024-02-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-26 00:00:00 UTC to 2024-03-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-03-04 00:00:00 UTC to 2024-03-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-03-11 00:00:00 UTC to 2024-03-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-03-18 00:00:00 UTC to 2024-03-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-03-25 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsMar 252024-04-01 00:00:00 UTC to 2024-04-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-08 00:00:00 UTC to 2024-04-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-15 00:00:00 UTC to 2024-04-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-22 00:00:00 UTC to 2024-04-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-29 00:00:00 UTC to 2024-05-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-06 00:00:00 UTC to 2024-05-13 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 6

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
Feb 122024-02-12 00:00:00 UTC2024-02-19 00:00:00 UTC202
Feb 192024-02-19 00:00:00 UTC2024-02-26 00:00:00 UTC000
Feb 262024-02-26 00:00:00 UTC2024-03-04 00:00:00 UTC000
Mar 42024-03-04 00:00:00 UTC2024-03-11 00:00:00 UTC000
Mar 112024-03-11 00:00:00 UTC2024-03-18 00:00:00 UTC000
Mar 182024-03-18 00:00:00 UTC2024-03-25 00:00:00 UTC000
Mar 252024-03-25 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 12024-04-01 00:00:00 UTC2024-04-08 00:00:00 UTC000
Apr 82024-04-08 00:00:00 UTC2024-04-15 00:00:00 UTC000
Apr 152024-04-15 00:00:00 UTC2024-04-22 00:00:00 UTC000
Apr 222024-04-22 00:00:00 UTC2024-04-29 00:00:00 UTC000
Apr 292024-04-29 00:00:00 UTC2024-05-06 00:00:00 UTC000
May 62024-05-06 00:00:00 UTC2024-05-13 00:00:00 UTC101

What Hacker News says

3 sources
There are these plugins: https://github.com/zatevakhin/obsidian-local-llm https://github.com/hinterdupfinger/obsidian-ollama Which already exist and if nothing else are decent starting points. > Not sure if local LLMs are powerful enough yet to enable meaningful/reliable outcomes I've dabbled, briefly, with Ollama running Mistral locally on an M1 MacBook Pro with 32GB of unified memory, and throwing a couple of hundred markdown documents at it via a RAG resulted in quite decent output to prompts asking questions about abstract contents/summariesbbased on those docs. So I'd say we're already at a point where you can have meaningful outcomes; reliability is a whole other issue though.
In Show HN: Reor – An AI note-taking app that runs models locally
Great job! I played around with this on a couple of small knowledge bases using an open Hermes model I had downloaded. The “related notes” feature didn't provide much value in my experience, often the link was so weak it was nonsensical. The Q&A mode was surprisingly helpful for querying notes and providing overviews, but asking anything specific typically just resulted in less than helpful or false answers. I'm sure this could be improved with a better model etc. As a concept, I strongly support the development of private, locally-run knowledge management tools. Ideally, these solutions should prioritise user data privacy and interoperability, allowing users to easily export and migrate their notes if a new service better fits their needs. Or better yet, be completely local, but have functionality for 'plugins' so a user can import their
Read the rest
own models or combine plugins. A bit like how Obsidian[1] allows for user created plugins to enable similar functionality to Reor, such as the Obsidan-LLM[2] plugin. [1] https://obsidian.md/ [2] https://github.com/zatevakhin/obsidian-local-llm
In Show HN: Reor – An AI note-taking app that runs models locally

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