WUPHF

Productivity

agent knowledge wiki

SHOW HN2026

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WUPHF

A Karpathy-style LLM wiki your agents maintain (Markdown and Git)

github.com

#llm wiki#markdown git#bm25 search#ai agents#knowledge base

260points
114comments
#183of 4,366 in 2026
Top 5%of 2026 by points

How HN took it

CuriousMostly questions and neutral comments

10 positive, 26 neutral or asking, 2 mixed, 10 critical, out of 48 comments about the project. Thread score -0.01.

Idea: 4 for, 6 againstDesign: 3 for, 1 againstDocs: 0 for, 2 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • BM25-first over vector DBs is a good call

    From 1 comment
    • love the bm25-first call over vector dbs. most teams jump to vectors before measuring anything
      Unsponsoredio on HN

Objections

  • LLM-maintained markdown collections may degrade quality without human curation

    From 1 comment
    • The few scientific studies out there actually show a degradation of output quality when these markdown collections are fully LLM maintained (opposed to an increase when they’re…
      stingraycharles on HN
  • Name and product seem like satire or redundant

    From 2 comments
    • I thought this was parody at first as well for a redundant useless product as it was named after the redundant useless product of the same name from The Office (Wuphf.com)
      arikrahman on HN
    • I no longer can tell if this is satire or not: https://wuphf.team/ It looks like gastown. Using AI is like children playing with a dollhouse. If it is satire, well done.
      410298 on HN
  • Agent-generated content gets confidently wrong over time

    From 2 comments
    • The "garbage facts in, garbage briefs out" caveat is the part I'd want stress tested. In my own LLM features the context that decays fastest is what agents wrote without a human…
      Abby_101 on HN
    • One practical approach that works is separating the capture layer from the promotion layer. Agents can draft freely, but anything that gets promoted to trusted status needs a…
      ryanshrott on HN

Requests

  • Configurable wiki directory

    From 1 comment
    • Couldn't you instruct your LLM to make the starting dir configurable?
      hansmayer on HN
  • Support for arbitrary OpenAI-compatible endpoints like DeepSeek

    From 1 comment
    • Would be great if the provider layer supported arbitrary OpenAI-compatible endpoints — DeepSeek, for example. Any plans?
      LanMeng-LM on HN

Questions

  • Does it support multiple humans?

    From 1 comment
    • I couldn't find out on the fly: does it support multiple humans? A lot of these tools (paperclip) don't, but for our small, agent-supported team, that would be the feature we're…
      psteinweber on HN
  • Does promotion require human review or can agents self-promote?

    From 1 comment
    • The "garbage facts in, garbage briefs out" caveat is the part I'd want stress tested. In my own LLM features the context that decays fastest is what agents wrote without a human…
      Abby_101 on HN
  • How to deploy securely for sensitive documents?

    From 1 comment
    • How do you anticipate teams deploying this? I’m wary of GitHub for sensitive business documents, and wonder what an easy secure agent friendly deployment looks like. Cloudflare…
      sails on HN

Alternatives named

  • Obsidian vault with a plugin

    From 1 comment
  • Other LLM wiki projects such as commonplace and Shoggoth.db

    From 2 comments
    • Reviewed: https://zby.github.io/commonplace/agent-memory-systems/reviews/wuphf/ It is a third llm wiki on front page in 24 hours! Obviously it is a hot topic. I have my own horse…
      zby on HN
    • The space of self building artefacts is interesting and is booming now because recent LLM versions are becoming good at it fast (in particular if they are of the "coding" kind).…
      GistNoesis on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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