index 24ba916..589a5b6 100644
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-# agi-house-llmwiki
+---
+tags:
+- agi-house
+- llm-wiki
+- karpathy
+- farzapedia
+- event
+title: AGI House — LLM Wiki Event
+visibility: public-edit
+---
-catalog of all wiki pages. update on every ingest.
+# AGI House — LLM Wiki Event
-## pages
+> Public-editable collaborative wiki for the AGI House **LLM Wiki** event.
+> **Anyone can edit any page here** — no account needed. Add notes, links,
+> tips, your own wiki, whatever's useful.
-(none yet)
+If you're at the event and you've never shipped a wiki before, this page has
+everything you need to get to your first running wiki fast.
+
+---
+
+## What is an "LLM wiki"?
+
+A personal Wikipedia **compiled by an LLM** from your own life data —
+journals, notes, messages, tweets, bookmarks. Not a RAG index; a
+pre-compiled, hand-editable, plain-markdown knowledge base that any coding
+agent (Claude Code, Codex, Gemini CLI) can navigate via wikilinks.
+
+Three-layer architecture (Karpathy):
+
+1. **Raw** — original sources, untouched (`raw/` or `data/`)
+2. **Wiki** — LLM-compiled markdown articles with `[[wikilinks]]` (`wiki/`)
+3. **Schema** — the `SKILL.md` / `CLAUDE.md` that instructs the LLM how to
+ write and organize
+
+Karpathy's pithy framing: *"Obsidian is the IDE, the LLM is the programmer,
+the wiki is the codebase."*
+
+---
+
+## The tweets that made it viral
+
+- **Andrej Karpathy — original LLM Wiki post (Nov 2025)** — 12M+ views, kicked the whole thing off:
+ https://x.com/karpathy/status/2040572272944324650
+- **Karpathy's gist with the skill/prompt** (2,100+ stars in 12 hours):
+ https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f
+- **Farza Majeed — "Farzapedia"** (the first widely-shared implementation, the
+ reply that made Karpathy's idea concrete for most people):
+ https://x.com/FarzaTV/status/2040563939797504467
+- **Farza's published SKILL.md gist** — the file you drop into
+ `.claude/skills/wiki/SKILL.md` to get started:
+ https://gist.github.com/farzaa/c35ac0cfbeb957788650e36aabea836d
+- **Farza's landing page** (interest gauge): https://farza.com/knowledge
+
+### Write-ups worth reading
+
+- Analytics Vidhya — technical breakdown:
+ https://www.analyticsvidhya.com/blog/2026/04/llm-wiki-by-andrej-karpathy/
+- MindStudio — step-by-step with Claude Code:
+ https://www.mindstudio.ai/blog/andrej-karpathy-llm-wiki-knowledge-base-claude-code
+- Toolmesh deep dive:
+ https://www.toolmesh.ai/news/karpathy-llm-wiki-personal-knowledge-management
+- Medium — what is an LLM Wiki?:
+ https://medium.com/@aristojeff/what-is-an-llm-wiki-and-why-are-people-paying-attention-to-it-b7e10617967d
+
+---
+
+## Ingesting your iMessage history
+
+All your iMessages live in a single SQLite database on every Mac:
+
+**`~/Library/Messages/chat.db`**
+
+Requires **Full Disk Access** for the terminal / app that opens it
+(System Settings → Privacy & Security → Full Disk Access).
+
+Tables worth knowing:
+
+| Table | What's in it |
+|-------|--------------|
+| `message` | Every message — `text`, `attributedBody` (emoji/rich text), `date` (Apple epoch), `is_from_me`, `handle_id` |
+| `handle` | Phone numbers and emails of everyone you've ever texted |
+| `chat` | Conversations (1:1 or group) |
+| `chat_message_join` | Maps messages → chats |
+
+Gotchas:
+
+- `date` is in Apple epoch (nanoseconds since 2001-01-01 UTC). Convert with
+ `datetime(message.date/1e9 + 978307200, 'unixepoch')` in SQL.
+- Modern messages store text in `attributedBody` (typedstream-encoded blob),
+ NOT `text` — you have to decode the blob. The open-source scripts below
+ already handle this.
+- Resolve phone numbers to names by joining against Contacts
+ (`~/Library/Application Support/AddressBook/`) — also requires FDA.
+
+### Skills / scripts that do it for you
+
+The skill file most people use at these events is **Farza's wiki skill**:
+https://gist.github.com/farzaa/c35ac0cfbeb957788650e36aabea836d
+— drop it into `.claude/skills/wiki/SKILL.md` in an empty project, put
+your exports in `data/`, then run `/wiki ingest` and `/wiki absorb all`.
+
+Open-source iMessage ingesters you can crib from:
+
+- **`kothari-nikunj/llm-wiki`** — most complete. Has a dedicated
+ `ingest_imessage.py` that reads `chat.db` directly (both `text` and
+ `attributedBody`), resolves handles to contact names via Address Book,
+ and groups by contact + day. Also supports WhatsApp, Apple Notes,
+ tweets, bookmarks. Ships a Next.js viewer.
+ → https://github.com/kothari-nikunj/llm-wiki
+- **`SamurAIGPT/llm-wiki-agent`** — drop-in agent, works with Claude Code,
+ Codex, or Gemini CLI. Adds NetworkX + Louvain community detection for
+ knowledge-graph visualization.
+ → https://github.com/SamurAIGPT/llm-wiki-agent
+- **`ussumant/llm-wiki-compiler`** — Claude Code plugin focused on the
+ compile step only.
+ → https://github.com/ussumant/llm-wiki-compiler
+- **`nashsu/llm_wiki`** — cross-platform desktop app wrapper.
+ → https://github.com/nashsu/llm_wiki
+
+### Minimal first run
+
+```bash
+mkdir mypedia && cd mypedia
+mkdir -p .claude/skills/wiki
+curl -sL https://gist.githubusercontent.com/farzaa/c35ac0cfbeb957788650e36aabea836d/raw \
+ > .claude/skills/wiki/SKILL.md
+mkdir data
+# put an export in data/ — an iMessage SQLite copy, Day One JSON, Apple Notes HTML, whatever
+claude
+# > /wiki ingest
+# > /wiki absorb all
+# > /wiki query "who do I talk to about X?"
+```
+
+---
+
+## Farzapedia by the numbers (reference)
+
+| | |
+|---|---|
+| Total raw entries ingested | 2,500 |
+| Compiled wiki articles | 400 |
+| Sources | Day One diary, Apple Notes, iMessage |
+| Architecture | Karpathy's 3-layer (raw → wiki → schema) |
+| Agent used to query | Claude Code |
+| Storage | Plain markdown files — no vector DB, no embeddings |
+| Most surprising output | An auto-generated "Relationship History" article (why Farza won't make Farzapedia public) |
+
+---
+
+## Add your own page
+
+This wiki is **public-edit**. Anyone can:
+
+- Edit this page — click *Edit* at the top and save.
+- Create a new page — go to `/@jacobcole/agi-house-llmwiki/new` or `POST`
+ to `/api/v1/wikis/jacobcole/agi-house-llmwiki/pages` (no auth required —
+ anonymous pages are marked claimable).
+- Link to your own LLM wiki — drop it under [Attendee wikis](#attendee-wikis) below.
+
+Pages you might want to add:
+
+- Your attempt, with what worked / what broke
+- A better ingester for a specific source (WhatsApp, Signal, Slack, Email)
+- Tips for the `absorb` / `cleanup` phase
+- Prompts you found useful
+- Trip reports on different models (Opus vs. Sonnet vs. GPT vs. Gemini)
+
+---
+
+## Attendee wikis
+
+*Add yours! `[[name]]` — one-line description — URL*
+
+- *(add your wiki here)*
+
+---
+
+## FAQ
+
+**Do I need to pay for anything?**
+No. `wikihub.md` is free. Claude Code free tier is enough to run a small
+absorb. Farza used Claude.
+
+**Will my private data leak?**
+Depends entirely on where you run the compile. Karpathy's #2 principle is
+**local** — the files stay on your computer. If you point Claude Code at a
+local directory, inference happens via the API but the files never leave
+your machine except in prompts. If you're compiling anything sensitive,
+audit the SKILL.md first and keep the wiki directory out of any cloud
+sync.
+
+**How big does it get?**
+Farza: 2,500 entries → 400 articles, a few MB of markdown. iMessage-only
+ingests can be 10K–100K messages; they compress down to dozens of articles
+because most chats are banal.
+
+**Can I push my wiki back to wikihub.md?**
+Yes — `git clone https://USERNAME:[email protected]/@USERNAME/SLUG.git`
+and push. Or use the REST pages API. See `/AGENTS.md` on this host for the
+full agent setup recipe.
+
+---
+
+## Related / background
+
+- **WikiHub home:** https://wikihub.md
+- **WikiHub agent setup:** https://wikihub.md/AGENTS.md
+- **Karpathy's broader take on personal AI:**
+ https://x.com/karpathy/status/2040572272944324650
+- **Ankur Warikoo's "YBAAS" response** (you-are-a-service, one of the
+ better commentaries on why LLM wikis are actually a big deal):
+ https://x.com/warikoo/status/2040595110635901255
+- **IQ Source — "knowledge compounds or rots"** (the case for curation):
+ https://www.iqsource.ai/en/blog/karpathy-llm-wiki-knowledge-compounds-or-rots/
+
+---
+
+*This page is public-editable. Hosted on [WikiHub](https://wikihub.md).
+Created for the AGI House LLM Wiki event, 2026-04-22.*
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