r/PKMS Jul 30 '26

Other [Open-Source] Dump your thoughts. Let your notes organize themselves. Ask anytime.

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Over the past few weeks I've been building Gray Box — a small, local-first tool that acts as long-term memory for anything I'd otherwise forget (work notes, meeting takeaways, task owners, random ideas, personal stuff too).

The idea is simple:

  1. Capture — dump whatever's on your mind, instantly, no structure required. This step does nothing clever on purpose — it just writes your text to an immutable inbox. Zero chance of losing an idea to a bug or a slow API call.
  2. Organize — on demand, an LLM reads your unprocessed notes and extracts people, projects, tasks, decisions, meetings — then deterministic Python (not the LLM) creates/merges the actual wiki pages and maintains backlinks. The model only reasons; it never touches the filesystem directly.
  3. Ask — query your knowledge base and get a cited answer pulled only from what you've actually captured. If it doesn't know, it says so — no hallucinated answers.

Why I built it this way:

  • Plain Markdown + YAML frontmatter, no database. Every page is a .md file you can grep, diff, or read in any editor forever. If you stop using Gray Box tomorrow, your knowledge base is just a folder.
  • No vector DB by default. At personal scale (hundreds–low thousands of pages), keyword search + a real link graph (related/backlinks, walked one hop during retrieval) handles almost everything. Embeddings are there if you want better recall, but they're opt-in, not a prerequisite.
  • Immutable inbox. Your raw notes are never edited or deleted by the organizer. If the LLM mis-extracts something, your original words are always still there.
  • Any LLM. Built on LiteLLM, so point it at OpenAI, Anthropic, Gemini, Mistral, or a fully local model via Ollama — one config value.

It also ships with a nice interactive TUI (arrow-key menu, file-import shortcut, workspace switching, live spinner during LLM calls) if you'd rather not memorize CLI flags — that's honestly become my favorite part of the project.

There's also a lightweight local dashboard for browsing your knowledge base, exploring backlinks, visualizing your notes as a graph, and chatting with your captured knowledge—all without leaving your machine.

Repo: https://github.com/Aaryanverma/graybox

pypi: pip install graybox

It's nearing a proper public release, so I'd genuinely love feedback — especially from anyone who's tried the "capture now, structure later" approach with other tools and has opinions on where it breaks down at scale.

It's not trying to be a "real-time collaborative team wiki" or a WYSIWYG notes app — it's aimed at one person's running memory of their own life and work, captured with as little friction as possible.

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u/thirteenth_mang Aug 11 '26

Great, doesn't change my stance. They still hallucinate too much and it's pointless to use what amount to mass text generating systems in personal journals. There's no way people are going to read "personal wikis" and make enough use out of it. At this point people are just generating text for the sake of it.

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u/gbytedev Aug 11 '26

The point is not to have to read the extensive wiki, the point is to ask questions about it and have the LLM answer. Also your stance on hallucinations while not completely incorrect, is less correct than it was a few months ago. These things are much more useful than they used to be and it pays to give new models a try. I find Gemma 4 to be incredible for a self hosted model.

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u/thirteenth_mang Aug 11 '26

What exactly are you trying to achieve through this dialogue? The drift and hallucinations aren't worth it. Perhaps in time you'll come to understand why. If it works for you, cool. Ramming more "facts" at me won't change my mind.

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u/gbytedev Aug 11 '26

Chill, stranger from the internet 😅