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Armbrain vs Karpathy's LLM Wiki
Karpathy's LLM Wiki keeps a smart, linked wiki from the sources you feed it. Armbrain goes and gets the sources. For fractional CMOs running several clients who like the idea but not the upkeep.
Short answer: the LLM Wiki is a smart pattern, not a product. Your coding agent writes and maintains a linked markdown wiki, but you find the sources, drop them in and tell it when to run. With several clients, you are the data pipeline for each one. Armbrain connects to your tools once, then collects each client's meetings, email, calendar, files and CRM on its own, sorts them into that client's mind, and works overnight so your briefing is ready when you start.
Same Monday, two ways
You run six clients. Three have calls today. Here is how the morning goes.
With an LLM Wiki for each client
- 7:40. Export last Thursday's call transcripts and this week's email threads for your first client. Save them in that client's raw folder.
- Tell the agent to ingest them. Read its summaries and check the pages it changed.
- Do it again for the second client's folder. Then the third.
- Ask the agent what you promised each client last week. It knows what you fed it.
- 8:55. Your first call starts in five minutes. The wiki is current, as of this morning's ingest.
With Armbrain
- Overnight, Armbrain pulled in last week's call transcripts, new email threads, calendar changes and updated files, and sorted each one under the right client.
- 6:00. Your morning briefing is waiting in your inbox, Slack or HQ dashboard: today's meetings, what came in, and what needs you.
- Two promises have gone past due. Your HQ dashboard puts them at the top of the list.
- Ask for today's prep and all three calls come back in one brief: who is in the room, open promises, recent decisions.
- Ask for Friday's follow-ups and get drafts in your voice to review.
- 7:40. Coffee. Read. Done.
The briefing time is a default you can change. Briefing sections need the matching tool connected (email, Slack or calendar). Whole-day prep needs Google Calendar connected.
What Armbrain does for you
You connect each tool once. From then on, this is Armbrain's job, not yours.
- CollectsPulls in meeting transcripts, email, Google Calendar, files, CRM records and marketing numbers from the tools you connect. No pasting.
- SortsFiles each email, meeting and record under the right client. Anything it is unsure about waits for your review.
- UpdatesRe-checks your connected tools on a schedule, many about every 15 minutes, so each client's memory stays current.
- Works overnightFlags overdue commitments and has your briefing ready when you start.
- Briefs youA morning briefing on weekdays at 6:00 your time by default, plus an end-of-day wrap, a Friday scorecard and a Monday sprint kickoff. Saved in HQ, or sent by email or Slack.
- Watches the accountA weekly client health read flags clients who have gone quiet, and you hear when a connected tool stops sending data.
- Runs the businessEOS rocks, issues, scorecards, sprints, L10 prep, quarterly reviews, a brand book and handoffs for each client.
Side by side
| What matters | Armbrain | Karpathy's LLM Wiki |
|---|---|---|
| Who collects your client data | Armbrain does, after a one-time connection for each tool. Meetings: Granola, Fireflies, Fathom, Zoom, Teams. Email and files: Gmail, Outlook, Google Drive, Dropbox, OneDrive, Notion. Calendar: Google Calendar (through your Google sign-in) and Outlook. CRM and projects: HubSpot, GoHighLevel, Pipedrive, Asana, ClickUp and more. Marketing numbers: Google Analytics, Mailchimp, Klaviyo, ActiveCampaign. No pasting. | You do. “You drop a new source into the raw collection and tell the LLM to process it.” For a team, the gist pictures a wiki “fed by Slack threads, meeting transcripts, project documents, customer calls”, with no tool named for getting them there.[1] |
| Keeping it current | Each tool is re-checked on a schedule, for example Gmail about every 7 minutes and Granola about every 15 minutes, so each client's brain updates itself as new meetings and email land. | The agent updates the wiki each time you add a source: “The knowledge is compiled once and then kept current, not re-derived on every query.” New sources arrive only when you add them.[1] |
| Sorting it by client | Each client gets its own mind. Email is routed to the right client within minutes. Notion pages go to the client you pick once. Anything Armbrain is unsure about waits in a review queue for you. | Not a stated feature on the pages we checked. The gist describes one knowledge base per topic, so separate wikis or folders per client are yours to set up.[1] |
| Work done while you sleep | Works overnight so your briefing is ready when you start. It flags overdue commitments. Your morning briefing arrives on weekdays at 6:00 your time by default, plus an end-of-day wrap, a Friday scorecard and a Monday sprint kickoff. You do not write prompts for any of it. | Not a stated feature on the pages we checked. Ingest, query and lint are prompts you give the agent: “Periodically, ask the LLM to health-check the wiki.”[1] |
| What it remembers | Decisions, promises, people and history from your meetings, email, files and CRM, kept per client. | A linked wiki that grows with each source: “the LLM writes and maintains all of it.” Its lint pass looks for “contradictions between pages, stale claims that newer sources have superseded”.[1] |
| Meeting prep | Ask for prep and get a brief with open commitments, recent decisions and who is in the room. Or ask for the whole day's prep once Google Calendar is connected. A brief only uses what is stored. | Not a stated feature on the pages we checked. |
| Promises and follow-up | Commitments from meetings and email are pulled out automatically and stay on a list until they are done. Extraction is automatic but not perfect. Ask for a follow-up and Armbrain drafts it in your voice for your review. | Not a stated feature on the pages we checked. |
| Overdue items and quiet clients | Overdue commitments show up in your meeting prep and on your HQ dashboard. A weekly client health read on Thursdays flags clients who have gone quiet. | Not a stated feature on the pages we checked. |
| Running the work (EOS) | Built-in EOS tools: rocks, issues, scorecards, two-week sprints, L10 meeting prep, and quarterly planning and review decks. | Not a stated feature on the pages we checked. |
| Brand book | A brand book for each client. Armbrain suggests lines from your notes, and you confirm, edit or reject them. | Not a stated feature on the pages we checked. |
| Handing a client off | Package a client mind for a handoff, or export it. Drafting a handoff does not send it or grant access. | “The wiki is just a git repo of markdown files. You get version history, branching, and collaboration for free.”[1] |
| Setup | About 30 minutes. Many tools sign in with your account. A few need a key pasted once. | You and your agent build it: “your agent will build out the specifics in collaboration with you.”[1] |
| Where it works | Inside Claude (claude.ai, Claude Desktop and Claude Code), plus the HQ dashboard in your browser for review, tasks, drafts and tool setup. | On your machine, with Obsidian as the viewer: “Obsidian is the IDE; the LLM is the programmer; the wiki is the codebase.”[1][2] |
| Price | Personal mind free. $90 per person/month, or five seats for $400/month. Unlimited minds and businesses. 30 days free, no card to start. | Free to copy. You pay for the coding agent and model you run it with. |
What you keep up by hand with an LLM Wiki
The LLM Wiki takes the writing off your plate. Finding and feeding the sources stays with you. With six clients, that is six feeds to keep up. From Karpathy's own gist:
| The job | With an LLM Wiki | With Armbrain |
|---|---|---|
| Getting client sources in | “You drop a new source into the raw collection and tell the LLM to process it.”[1] | Collected from your connected tools. |
| Checking email and calendar | Export what you want it to know and drop it in. | Checked on a schedule, Gmail about every 7 minutes. |
| Filing it by client | Separate wikis or folders that you set up. | Email is routed to the right client. Notion pages go to the client you pick once. Unsure items wait for your review. |
| Keeping it healthy | Run a lint pass when you remember to. “Periodically, ask the LLM to health-check the wiki.”[1] | Re-checked from your connected tools on a schedule. |
| Overnight work | Not a stated feature on the pages we checked. | Briefings and overdue flags run on their own. |
| Tracking promises | Not a stated feature on the pages we checked. | Pulled from meetings and email, kept on a list until done. |
| EOS rocks, sprints, scorecards, L10 | Not a stated feature on the pages we checked. | Built in. |
When the LLM Wiki is enough
- You are going deep on one research topic and want the result as files you own.
- You like running a coding agent and checking its edits in Obsidian.
- Your sources are articles and papers you collect anyway, and there are no client lines to keep.
When you need Armbrain
- You run several clients and do not want to export and feed every call and email thread by hand.
- You want each client's data sorted into its own mind for you, with unsure items held for your review.
- You want your briefing ready each morning, promises tracked, and EOS tools inside Claude.
Common questions
Is Karpathy's LLM Wiki the same as RAG?
No. Karpathy contrasts it with RAG: the agent writes a linked wiki once and keeps it current, instead of finding the pieces again on every question. Armbrain shares that idea and also collects the sources for you.
Does the LLM Wiki collect my client data automatically?
No. You drop each source into the folder and tell the agent to process it. Armbrain collects meetings, email, calendar, files and CRM records on its own after a one-time connection.
Do I need Obsidian to use Armbrain?
No. Armbrain works inside Claude, and the HQ dashboard runs in your browser. There is nothing to install in a notes app.
Can I keep my wiki and use Armbrain?
Yes. Keep the wiki for deep research on one topic, and let Armbrain keep each client's meetings, email and promises current.
How long does Armbrain take to set up?
About 30 minutes to connect your tools. After that, Armbrain does the collecting.
You can keep the wiki for your own research. Armbrain works inside Claude and does the client collecting, so your wiki does not have to. Setup takes about 30 minutes.
Prefer to do it yourself?
Our step-by-step guide: How to build an LLM wiki with Obsidian. It covers the setup, the habits that keep it working, and where it breaks down.
Related reading
- Agentic memory vs RAG: the guide: when document search is enough and when you need memory
- What is agentic memory?: the idea behind both
- Armbrain vs RAG: document search you build, or memory for each client
- Agentic memory vs RAG: the vendor-neutral comparison
How we checked
We read each competitor’s own pages on October 10, 2026 and quote them where we can. Prices and plans change, so check their pages before you decide. If something here is out of date, tell us at support@armbrain.io and we will fix it.
- Andrej Karpathy, llm-wiki (GitHub gist): https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f, read October 10, 2026.
- Andrej Karpathy on X: LLM Knowledge Bases (April 2, 2026): https://x.com/karpathy/status/2039805659525644595, read October 10, 2026.
Other comparisons
- Armbrain vs Notion AI: A tool you feed and set up, or a brain that fills itself.
- Armbrain vs ChatGPT memory: Memory that knows you, or a mind for each client that fills itself.
- Armbrain vs Claude Projects: A folder you fill by hand, or a brain that fills itself.
- Armbrain vs Viktor: A worker you set up job by job, or a brain that keeps each client apart.
- Armbrain vs RAG: An index you build and feed, or a brain that fills itself.
- Armbrain vs Obsidian with AI plugins: Notes you write and file, or a brain that fills itself from your tools.
- Armbrain vs NotebookLM (now Gemini Notebook): A notebook of sources you upload, or a brain that fills itself.
- Armbrain vs ChatGPT Projects: A project you fill with chats and files, or a brain that fills itself.
- Armbrain vs custom GPTs: A GPT built on files you upload, or a brain that keeps itself current.
- Armbrain vs Microsoft Copilot Notebooks: A notebook of references you pick, or a brain that fills itself from your tools.
- Armbrain vs a DIY vector database: Build and feed your own memory stack, or use a brain that fills itself.