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Cabinet

Kb+LLM (Like Paperclip+Obsidian)

Details

External ID
47649336
Source
HN
Company
—
Product
Cabinet
Website domain
runcabinet.com
Launched
April 5, 2026
Cohort
—
Upvotes
16
Upvotes percentile
0.7197943444730077
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Hi HN,for quite some time I've been thinking how LLMs are missing the knowledge base, where I can dump CSVs, PDFs, and most important, inline web app. running on Claude Code (bring your own agent) with agents with heartbeats and jobshttps://runcabinet.comIt runs locally and is installable via npm. GitHub (open source): https://github.com/hilash/cabinetThis is still very early. I put the first version together quickly after seeing a post by Andrej Karpathy about LLM knowledge bases, which matched closely with what I’d been building. Some people have already started trying it and opening PRs, which has been encouraging (got 374 stars in 2 days :] )If useful: Waitlist for a hosted version: https://runcabinet.com/waitlist Discord (small, but growing): https://discord.gg/rxd8BYnNWould really appreciate feedback: does this “KB + agents” model make sense? what would you expect from a system like this? where does this fall apart? Happy to answer anything.Hila

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Search & retrieval
Audience
Prosumer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
knowledge base and llm chat combined
Manually corrected
False

Could you build this?

Yes It is an Electron or web-based knowledge base and local file manager that integrates standard RAG pipelines (parsing PDFs, CSVs) with LLM agent hooks.

Discussion

11 comments analyzed.

Competitors mentioned: Obsidian, Claude, Cabinet, Paperclip

Concerns raised: Closed source software security risks, Knowledge locked into single AI provider ecosystem, LLM memory implementations unclear and uncontrollable, LLMs remember unimportant details and over-index on them

Feature requests: Organization/team support with shared knowledge bases, Permissions system for collaborative use, Visual knowledge layer for inspection and control, Support for multiple AI providers (Claude, Codex, local models)

Competitors

Other products that read as similar to this one — 151 launches clear the similarity bar, closest 8 shown.

Attention rank: #36 of 152 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 156 days after the earliest competitor.

Other launches for this product