Generated banner for MindBase — Karpathy's LLM Wiki, as a product
Generated logo for MindBase — Karpathy's LLM Wiki, as a product

MindBase — Karpathy's LLM Wiki, as a product

LLM wiki kit

First committed by frankchu91

Published in frankchu91/mindbase-llm-wiki. Publisher page

137 GitHub stars

What it is

Karpathy's LLM Wiki idea as a product — an AI that builds and maintains a markdown wiki from your notes and sources. MCP server + web UI, runs on free local models (Ollama), no API key needed. MIT.
— the description by frankchu91

Summary from the brain’s metadata

Karpathy's LLM Wiki idea as a product — an AI that builds and maintains a markdown wiki from your notes and sources. MCP server + web UI, runs on free local models (Ollama), no API key needed. MIT. One command: starts the local server, opens the web app, and walks you through picking a free local model that fits your RAM. No API key, nothing leaves your machine. (Node 20+)

How it works

Memory model: LLM wiki

AutoGineer overview, from the brain’s own files

Memory model: LLM wiki. Folders: .github (agent config, 2 files); docs (docs, 21 files); packages (source code, 185 files). The agent writes apps/browser-ext, apps/mcp.

Folders
FolderRoleFiles
.githubagent-config2
docsdocs21
packagessource-code185
.claude-pluginfolder1
appsfolder512
schemafolder5
websitefolder7

The agent writes

Requirements

Runtimes: Node.js

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Google Antigravity, Kiro, OpenCode, Amp, Roo Code, Cline, JetBrains Junie, Devin (ex-Windsurf)

Set it up

  1. This brain runs code automatically: 1 hook (claude-code). Review apps/plugin/hooks/hooks.json before opening the folder in Claude Code. No step below turns a hook on for you.

    • apps/plugin/hooks/hooks.json: ${CLAUDE_PLUGIN_ROOT}/hooks/session-start
  2. Clone the repository at the commit AutoGineer scanned:

    git clone https://github.com/frankchu91/mindbase-llm-wiki.git && cd mindbase-llm-wiki && git checkout c5273d2336c4d686df41c2a1495f14f085707f51
  3. Claude Code reads CLAUDE.md from this folder automatically.

  4. cd mindbase-llm-wiki && claude

  5. AutoGineer scanned these files at commit c5273d2.

  6. Not scanned by AutoGineerThe author’s README also describes installing it as a Claude Code plugin marketplace. Read its install section: AutoGineer did not scan that path. https://github.com/frankchu91/mindbase-llm-wiki/blob/c5273d2336c4d686df41c2a1495f14f085707f51/README.md#install
  7. Not scanned by AutoGineerIts dependencies are installed by npm when you run it and were not scanned by AutoGineer (7 declared). https://www.npmjs.com/package/mindbase-mcp
  8. First committed by frankchu91. Published in frankchu91/mindbase-llm-wiki. Licence: MIT License.

Usage

AutoGineer’s guidance for this type of brain

Put your raw sources in the kit’s folder and ask your agent to maintain the wiki from them: the agent writes the markdown pages and you read them.

Documentation by frankchu91

MindBase — Karpathy's LLM Wiki, as a product

Image: npm Image: npm downloads Image: CI Image: License: MIT Image: Website Image: Glama score

An open-source implementation of Andrej Karpathy's LLM Wiki idea: an AI that builds and maintains a wiki from your sources. Not RAG-in-a-vector-DB. A real markdown wiki on your disk, that an LLM gardens for you between conversations.

npx mindbase-app

One command: starts the local server, opens the web app, and walks you through picking a free local model that fits your RAM. No API key, nothing leaves your machine. (Node 20+)

<p align="center"> <img alt="Demo: /contribute in the MindBase web UI — the AI shows takeaways and a checkbox plan, and writes to the LLM wiki only after approval" src="docs/assets/contribute.gif" width="880"> </p>

MindBase implements Andrej Karpathy's LLM-Wiki pattern: you feed it sources (papers, articles, thoughts); the LLM reads, cross-references, flags contradictions, and writes structured wiki pages. Later, when you ask a question, the wiki already has the synthesized answer — no vector-search re-derivation at query time.

Status: Early access, actively developed. What's new: CHANGELOG · Releases


Why MindBase

You read a lot. Papers, articles, tweets, docs. You want to remember them, connect them, form opinions from them. Today you have two bad options:

  • Notion / Obsidian / Roam: Passive containers. You do all the organizing. AI features are bolted-on generation, not maintenance.

  • NotebookLM / Perplexity Pages / ChatGPT search: RAG-based. Nothing accumulates. Every question re-derives the answer from raw sources.

MindBase is the third option: the LLM actively maintains a persistent, structured wiki as you feed it sources. Knowledge compounds. Your context.md gets sharper every time you contribute. The AI remembers you across sessions because your beliefs are written down in markdown files — not stored in a chat history that gets summarized away.

Think of it as a personal Wikipedia that an AI intern writes for you, kept up to date, cross-referenced, and honest about what it doesn't know.

How it works (30 seconds)

Three physical layers on disk (Karpathy's model):

<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="docs/assets/hero-dark.svg"> <img alt="MindBase: you feed sources, the LLM gardens them into a wiki that compounds — plain markdown on your disk" src="docs/assets/hero-light.svg" width="920"> </picture> </p>

LayerWho owns itWhat lives there
sources/You — append-only, the AI never rewrites itQuick captures, full notes, PDFs, URLs
context.md + sources/research/The AI — every change human-approvedThe maintained wiki: synthesis, concept pages, [[wikilinks]]
state/ · logs/ · artifacts/Derived — always rebuildableSearch index, snapshots, lint findings, op history

Three operations run the loop: ingest (AI reads a source, discusses takeaways, you approve the wiki updates), build (regenerate context.md from everything unbuilt), lint (the AI audits its own wiki for contradictions, stale claims, and orphans).

What makes it different

  • The AI asks before writing. Every ingest shows takeaways + a checkbox plan; only what you approve gets written. No black-box edits to your knowledge.

  • You can watch the wiki absorb your notes. Every note carries a status chip — ✨ Add to wiki until digested, ✓ In wiki after.

  • It audits its own knowledge. One command re-reads the whole wiki and reports contradictions with the exact conflicting sentences quoted. Notion and NotebookLM structurally cannot do this.

  • Free and local by default. Hardware-detect wizard installs the best Ollama model for your RAM. Cloud keys optional.

  • Plain markdown on disk. Grep it, git it, open it in Obsidian, leave anytime.

Install

Browser (fastest): npx mindbase-app — shown above. Everything runs locally at localhost:4321.

Claude Code (flagship): the full Karpathy 8-step ingest with sub-agents, slash commands, and per-agent tool boundaries:

/plugin marketplace add frankchu91/mindbase-llm-wiki
/plugin install mb@mindbase

Restart when prompted, then type / — you should see /mb:contribute, /mb:build, /mb:ask, /mb:lint and 8 more. You get 5 sub-agents with strict tool allowlists (the builder has no file-write tool at all — only an atomic-write MCP call), plus a SessionStart hook that auto-injects your project context.

<p align="center"> <img alt="The core flow in Claude Code: /mb:contribute with an arXiv link — download, archive, discuss takeaways, approve, commit" src="docs/assets/terminal-contribute.png" width="880"> </p>

<details> <summary><b>Cursor</b></summary>

Add to ~/.cursor/mcp.json:

{ "mcpServers": { "mindbase": { "command": "npx", "args": ["-y", "mindbase-mcp"] } } }

Restart Cursor — the tool picker should list mindbase_contribute and 48 others. Recommended: add a conventions block to ~/.cursor/rules.md so the LLM reliably routes "add to mindbase X" to the tools — copy it from the guide.

</details>

<details> <summary><b>Windsurf</b></summary>

Cascade settings → MCP → add:

{ "mcpServers": { "mindbase": { "command": "npx", "args": ["-y", "mindbase-mcp"] } } }

Same rules-file approach as Cursor works for Cascade.

</details>

<details> <summary><b>Cline (VSCode)</b></summary>

Cline settings → MCP Servers:

{ "mcpServers": { "mindbase": { "command": "npx", "args": ["-y", "mindbase-mcp"] } } }

Cline auto-detects; every tool call gets a confirmation dialog by default.

</details>

<details> <summary><b>Continue.dev</b></summary>

~/.continue/config.json, under experimental.modelContextProtocolServers:

{ "experimental": { "modelContextProtocolServers": [ { "transport": { "type": "stdio", "command": "npx", "args": ["-y", "mindbase-mcp"] } } ] } }

MCP tools appear under @ in chat.

</details>

<details> <summary><b>Any other MCP client</b> (Zed, Aider, Goose, Claude Agent SDK…)</summary>

Point it at npx -y mindbase-mcp as a stdio server. See your client's MCP docs for the config location.

</details>

Next: create your first project and learn the four daily workflows in the Guide →

The web UI

Since 0.3 the browser app stands on its own — write notes in a full WYSIWYG editor (Cmd+N), quick-capture from anywhere (Cmd+I), and run the AI operations with approval cards: /contribute, /build, /lint, /research. Live demos on the website.

<p align="center"> <img alt="MindBase web UI — category tree on the left, the LLM-maintained context.md in the center, chat starters on the right" src="docs/assets/webui.png" width="920"> </p>

Free local models: the setup wizard detects your hardware and installs what fits — llama3.2:3b (8GB), qwen3:14b (24GB+), or Meta's Muse Glimmer 30B (32GB+ Apple Silicon, Ollama ≥ 0.32.7). Measured guidance: qwen3:14b for interactive work (~30s), Glimmer for background lint/build — slower, but its findings quote the exact conflicting sentences. The model switcher on the chat composer flips between them in two clicks.

<details> <summary><b>Feature matrix by editor</b></summary>

FeatureClaude CodeCursor / Windsurf / Cline / ContinueWeb UI
Slash commands (/mb:*)✅❌ (use natural language)✅ (/contribute, /build, /lint, /research)
MCP tools directly✅✅❌
Karpathy 8-step ingest with approval✅ (sub-agents)⚠️ Manual via prompt✅ (approval cards)
Contribute / ingest PDF & URL✅✅✅ (upload + ✨ Process)
Ask wiki with cited answers✅✅✅
Build / health check✅✅✅
Wiki tree browsing + rich editor❌❌✅
-p project-id routing✅⚠️ natural language✅ (switcher)

</details>

Where your data lives

Everything is plain markdown under ~/mindbase-data/ (override: MINDBASE_DATA_DIR):

~/mindbase-data/projects/my-research/
├── README.md                 # Ops manual — you edit, LLM reads
├── context.md                # Synthesized truth — LLM writes, you approve
├── index.yaml                # Auto-generated catalog
├── sources/
│   ├── contributors/<you>/   # Your dated entries + notes (append-only)
│   ├── research/             # LLM-authored wiki pages
│   └── raw/                  # PDFs, HTML captures
├── logs/                     # Chronological operation log
├── artifacts/                # Briefs, exports, lint findings
└── state/builder/snapshots/  # context.md snapshots for rollback

No proprietary database — what you see on disk is what MindBase knows. git init it, back it up with anything, delete a project with rm -rf.

Architecture at a glance

 Claude Code / Cursor / any MCP editor          Web UI (npx mindbase-app)
        │  MCP · sub-agents with                       │  /commands ·
        │  per-agent tool allowlists                   │  approval cards
        └─────────────┬─────────────────────────┬──────┘
                      ▼                         ▼
        ┌──────────────────────────────────────────────┐
        │  One ops engine: gather context → single     │
        │  constrained JSON completion → human         │
        │  approval → whitelisted executors → log      │
        └─────────────────────┬────────────────────────┘
                              ▼
              ~/mindbase-data/ · plain markdown
              (LLM: Ollama local models or any cloud key)

Monorepo: packages/core (TS strict library) · apps/mcp (49-tool MCP server) · apps/server + apps/web (Express + React UI) · apps/app (npx launcher) · apps/plugin (Claude Code bundle).

Docs & help

Roadmap

Next: browser extension for one-click page capture · audio input via Whisper · unified meta-tool for Cursor/Windsurf slash-like UX. Later: team projects with human-in-the-loop review · audio digests · desktop app · mobile capture.

Feedback

Beta through 2026-Q4. If you tried MindBase and gave up — please tell me why: issues or [e-mail address on the upstream page](mailto:e-mail address on the upstream page). The blockers you hit are gold.

License

MIT — do what you want, no warranty. If you build something interesting on top, I'd love to hear about it.


Built with the belief that AI's most valuable gift is not "generation on demand" but "gardening of a persistent artifact you own."

CLAUDE.md

MindBase — North Star for Claude Code

If you're an agent working on this codebase, read in this order:

  1. docs/pivot-plan-2026-05-25.md — the CURRENT canonical plan. We are pivoting from "AI second brain" to "AI research analyst that builds a wiki." Everything before this date is legacy direction.

  2. docs/llm-wiki.md — Karpathy's pattern, our foundational thesis.

  3. This file — what's built, what's missing, hard contracts, repo conventions.

If a change conflicts with the pivot plan, the pivot plan wins. If a change preserves a feature the pivot plan kills (chat-as-home, daily journal, SRS UI surface, generic "PKM" framing), push back.


Product thesis (one paragraph)

MindBase implements Andrej Karpathy's LLM-Wiki pattern (docs/llm-wiki.md), turned into a product for users who can't or won't run claude-code + obsidian + a hand-written CLAUDE.md themselves. The LLM incrementally builds and maintains a persistent wiki from your raw sources — not RAG-retrieves at query time. The wiki is a compounding artifact: cross-references are pre-baked, contradictions pre-flagged, synthesis pre-written. The LLM owns the wiki layer; the user owns sources, exploration, and asking the right questions.

This is NOT another Notion / Obsidian / NotebookLM. Specifically:

  • Notion is a passive container — you organize, it stores.

  • NotebookLM is RAG — knowledge is re-derived per query, never accumulates.

  • Obsidian is a markdown editor — humans do all the maintenance.

  • MindBase is the active maintainer that gardens your knowledge for you.

The 3-layer architecture (from Karpathy)

LayerOwnerIn MindBase
Raw sources — articles, PDFs, web clips, captures. Immutable.User curates; LLM reads.~/mindbase-data/raw/<date>/<id>.{md,meta.json,original.pdf}
The wiki — markdown concept pages, entity pages, summaries.LLM writes & maintains.~/mindbase-data/wiki/{concepts,notes,sources,attachments}/
The schema — conventions, page formats, ingest workflow.User and LLM co-evolve.⚠️ Currently hard-coded in prompts. Should become a per-project user-editable file.

The 3 operations (from Karpathy)

OperationKarpathy's specMindBase status
IngestDrop source → LLM reads → discusses takeaways → writes summary → updates 10-15 wiki pages → appends to log.✅ apps/server/src/routes/compile.ts + packages/core/src/compile/l1.ts. ❌ No discuss-takeaways turn. Black-box one-shot today.
QuerySearch → read → synthesize → cite → good answers get filed back as wiki pages.✅ Hybrid search + chat. ❌ Answers never become wiki pages — they vanish into chat history.
LintPeriodic health check: contradictions / stale claims / orphan pages / missing concepts / suggested investigations.❌ Not implemented. This is a killer differentiator — Notion / Obsidian / NotebookLM cannot do this.

Special files (from Karpathy)

  • index.md — content-oriented catalog the LLM reads first when answering. ❌ MindBase has internal wikiIndex (sqlite) but no markdown index file users or the LLM can browse.

  • log.md — chronological append-only. ✅ wiki/log.md + wiki/_changes.md.

Beyond Karpathy (where MindBase has an edge today)

  • Typed knowledge graph — contradicts / supersedes / elaborates / cites edges between concepts (packages/core/src/graph/index/wiki-index.ts). Karpathy's raw pattern is untyped wikilinks. We can surface contradictions and supersession proactively.

  • Multi-surface capture — apps/browser-ext (Chrome), apps/test-game/apps/mobile (mobile), apps/mcp (MCP server for other agents).

  • Built-in local PDF/web extraction — pdfjs-dist, no API roundtrip. (Verified 2026-05-25.)

  • Daily Brief auto-generation (apps/server/src/lib/brief.ts).

  • Spaced repetition built into the data model (apps/server/src/lib/srs-worker.ts).

  • Tab-bar surface for ingested PDFs with native viewer + extracted text toggle (RawSourceView).

  • AI classify-into-folder for both notes AND raw imports (POST /api/classify/raw/:rawId as of 2026-05-25).

Critical gaps vs the pattern (in priority order)

  1. No user-editable schema.md per project — Karpathy says this is THE key config. Users can't tell the LLM "in this project, concept pages should have these sections" without code changes.

  2. No lint operation — health check that surfaces contradictions, orphans, stale claims.

  3. No file-answer-back — chat answers are ephemeral. Karpathy's pattern files them back as wiki pages.

  4. No conversational ingest — current flow is one-shot. Should be: stream takeaways → ask user what to emphasize → commit.

  5. No first-class Project / scope — everything bleeds into one global wiki. Karpathy's examples (reading a book / researching a topic / planning a trip) all imply bounded projects.

  6. No index.md markdown catalog — only internal sqlite.

  7. Wiki is hidden behind a tab — should be the main surface. (Notes vs Wiki confuses every new user.)

Product positioning (work in progress, 2026-05-25)

Working hypothesis:

"MindBase: Karpathy's LLM-Wiki pattern, no terminal required. You feed the sources; the AI gardens the wiki."

Differentiation angle vs the raw pattern (= obsidian + claude-code + CLAUDE.md):

  1. Accessibility — works for users who don't write CLAUDE.md or use git.

  2. Active wiki — daily briefs, contradiction alerts, growth dashboard, SRS. The wiki pushes back, not just stores.

  3. Visible LLM-at-work — streaming compile UX where you watch pages get created/updated in real-time (like "Claude is editing"). The raw pattern requires you to alt-tab between IDE and Obsidian; we build it in.

  4. Team variant (future) — Slack threads + meeting transcripts → wiki, with human-in-the-loop review.


Hard contracts from docs/llm-wiki.md (Architecture / Operations / Indexing)

These are non-negotiable. Any change that violates them is a regression of the pattern. When implementing a feature, the first question is "does this honor these contracts?"

Architecture contract — 3 physically distinct layers
  1. raw/ is immutable. No worker, prompt, or user-action mutates files here. The compile pipeline reads but never writes.

  2. wiki/concepts/ (TO BE BUILT) is LLM-owned end-to-end. Karpathy: "You read it; the LLM writes it." User edits to this dir are an exceptional override that must be logged. The current collapse of user-notes and LLM-concepts into wiki/notes/ is a fundamental violation that explains why users perceive compile as "AI rewriting my note" — because physically that's what it looks like.

  3. wiki/schema.md (TO BE BUILT) is the per-project conventions file the LLM reads at every operation. It is user-editable and co-evolves. It is NOT packages/core/src/compile/prompts.ts — that file is implementation, not configuration. Prompts must be built at runtime from schema.md, not hard-coded.

Operations contract — all 3 are first-class product surfaces

Ingest must support these 8 steps in order:

  1. User drops source into raw

  2. User explicitly tells the LLM to process (not background worker)

  3. LLM reads

  4. LLM discusses key takeaways with the user (conversational turn — missing today; this is what makes ingest feel collaborative vs black-box)

  5. LLM writes a summary page

  6. LLM updates INDEX.md

  7. LLM updates multiple relevant entity/concept pages — target 5-15 touches per substantive source (current avg: 1-4; was 18-22 on May 22 before prompt rewrite degraded it)

  8. LLM appends to log.md

Two modes, user-selectable per project via schema.md:

  • interactive (one source at a time, high supervision, step 4 mandatory)

  • batch (many sources, low supervision, step 4 abbreviated to one-shot summary)

Query must support filing answers back. A chat answer the user values should become a wiki page with one click (or by LLM suggestion). Without this, explorations don't compound — they vanish into chat history. Karpathy: "good answers can be filed back into the wiki as new pages."

Answer formats Karpathy explicitly lists (aspirational): markdown page, comparison table, slide deck (Marp), chart (matplotlib), canvas. We are markdown-only today.

Lint is a distinct operation, surfaced in the UI. Karpathy's 6 checks plus 2 suggestions:

  • contradictions between pages

  • stale claims (superseded by newer sources)

  • orphan pages (no inbound links)

  • important concepts mentioned but lacking their own page

  • missing cross-references

  • data gaps that could be filled with web search

  • suggested new questions to investigate

  • suggested new sources to look for

Output is structured cards in an inbox-like surface. This is the killer differentiator no other PKM tool has.

Indexing/logging contract — INDEX.md and log.md are the spine

INDEX.md (TO BE REBUILT as a live artifact):

  • Content-oriented catalog of every wiki page

  • Each entry: link + one-line summary + optional metadata (date, source count)

  • Organized by category (entities / concepts / sources / ...)

  • LLM updates it on every ingest (and lint, and file-answer-back)

  • Query path reads INDEX.md first, then drills into candidates

  • At moderate scale (~100 sources, hundreds of pages) this replaces embedding-based RAG — it is more accurate, more debuggable, more explainable. Hybrid search/embeddings become a complement for the long tail, not the primary retrieval path.

log.md (already exists, expand coverage):

  • Append-only

  • Records all 3 operations: ingests, queries, lint passes (currently only ingests)

  • Format: ## [YYYY-MM-DD] {ingest|query|lint} | <title or topic> — date-only, not ISO datetime; greppable: grep "^## \[" log.md | tail -5

  • Each entry includes outcomes parseably: "created 4, updated 3" so the log itself is queryable by the LLM in future sessions


Decision rules for any new code

Before merging any change, check:

  1. Does this respect the 3-layer separation? Are raw / wiki-LLM-owned / schema clearly distinguished?

  2. Does this advance one of the 3 operations, or is it Notion-style chrome?

  3. Does this read or update INDEX.md / log.md if the operation is user-facing? Both files are the LLM's memory across sessions — missing updates here means context loss.

  4. Does this give the LLM-owned wiki MORE visibility, or hide it deeper under tabs?

If a change fails any of these, it is technical debt against the North Star. Note the violation in the commit body and open a follow-up to repay it.

Working repo conventions (learned from prior sessions)

  • pnpm monorepo: packages/core (TS strict, vitest), apps/server (Express), apps/web (React 19 + Zustand), apps/browser-ext, apps/mcp, apps/mobile.

  • apps/web may only import type from @mindbase/core. Value imports break Vite via node:* leaks. Mirror helpers into apps/web/src/lib/* (see apps/web/src/lib/tree.ts as the canonical pattern).

  • TS strict, no any, prefer named exports.

  • Commits authored by Haobing Chu <[e-mail address on the upstream page](https://github.com/frankchu91/mindbase-llm-wiki/blob/c5273d2336c4d686df41c2a1495f14f085707f51/CLAUDE.md)>. NO Co-Authored-By: Claude trailer.

  • docs/superpowers/ is gitignored (specs + plans for in-flight features).

  • Data root: ~/mindbase-data/ — never hardcode this path; read from ctx.store.

  • Server dev: pnpm -F @mindbase/server dev (tsx watch). Port 4321 serves API + the built apps/web bundle.

  • Web dev/build: pnpm --filter @mindbase/web {dev,build,typecheck}.

  • After modifying packages/core types, pnpm --filter @mindbase/core build before re-typechecking dependents.

  • apps/plugin/ is the canonical Claude Code plugin for MindBase. It bundles apps/mcp (via build script) as an MCP child process, ships slash commands and sub-agents. Install via claude --plugin-dir apps/plugin for local dev or /plugin install mindbase@mindbase when published.

  • apps/skill/ was removed in 2026-06-09 — the legacy install.sh skill-based deploy is gone; the plugin is the only install path. Users who installed the old way must manually remove ~/.claude/skills/mindbase/, ~/.claude/commands/mb-*.md, and ~/.claude/agents/mindbase-synthesizer.md.

  • Plugin builds: pnpm -F @mindbase/plugin build (bundles apps/mcp into apps/plugin/mcp-server/dist).

When you change product surfaces

Default reflex: does this make the LLM-Wiki pattern more visible to the user, or does it bury it deeper under Notion-like chrome? If the latter, push back. The recent commits (PlusMenu, delete buttons, breadcrumb title, RightRail tabs) are necessary table-stakes — but every hour spent on "match Notion" is an hour not spent on "make Karpathy's pattern legible and delightful."

The unique value lives in compile/, graph/, classify/, brief/, synthesis/. Most product time should go toward surfacing those.

512 files · 497 not served here

Advantages

  • Local-first: the memory stays in files or a database on your own machine (a rule-derived fact from the brain’s files, evidence: README.md)
  • Works with 14 MCP clients (a rule-derived fact from the brain’s files, evidence: README.md)
  • Plain markdown memory that you can read and edit yourself (a rule-derived fact from the brain’s files, evidence: README.md)
  • No API key is named in its files (a rule-derived fact from the brain’s files, evidence: README.md)
  • Open licence (MIT) (a rule-derived fact from the brain’s files)

Limitations

  • Runs code automatically: review what it runs before you open it (a rule-derived fact from the brain’s files)
  • No ZIP download: install it from its source (a rule-derived fact from the brain’s files)

Security

Risk level: Medium risk

This brain runs

Agent instructions that run or fetch something (12)

  • CLAUDE.md: MindBase implements Andrej Karpathy's **LLM-Wiki pattern** (`docs/llm-wiki.md`), turned into a product for users who can't or won't run `claude-code + obsidian + a hand-written CLAUDE.md` themselves.
  • CLAUDE.md: pnpm monorepo: `packages/core` (TS strict, vitest), `apps/server` (Express), `apps/web` (React 19 + Zustand), `apps/browser-ext`, `apps/mcp`, `apps/mobile`.
  • CLAUDE.md: Server dev: `pnpm -F @mindbase/server dev` (tsx watch).
  • CLAUDE.md: Web dev/build: `pnpm --filter @mindbase/web {dev,build,typecheck}`.
  • CLAUDE.md: After modifying `packages/core` types, `pnpm --filter @mindbase/core build` before re-typechecking dependents.
  • CLAUDE.md: Install via `claude --plugin-dir apps/plugin` for local dev or `/plugin install mindbase@mindbase` when published.
  • CLAUDE.md: `apps/skill/` was removed in 2026-06-09 — the legacy `install.sh` skill-based deploy is gone;
  • CLAUDE.md: the plugin is the only install path.
  • CLAUDE.md: Plugin builds: `pnpm -F @mindbase/plugin build` (bundles `apps/mcp` into `apps/plugin/mcp-server/dist`).
  • apps/plugin/skills/mindbase/SKILL.md: If none → tell user to run `/mb:load` or `/mb:init`
  • apps/plugin/skills/mindbase/SKILL.md: Always call `mindbase_contribute` (plan/approve/execute primitive).
  • apps/plugin/skills/mindbase/SKILL.md: Read → discuss → propose plan → execute.

MCP servers (4)

  • README.md (mindbase): npx -y mindbase-mcp
  • README.md (mindbase): npx -y mindbase-mcp
  • README.md (mindbase): npx -y mindbase-mcp
  • apps/plugin/.mcp.json (mb): npx -y mindbase-mcp

Hooks (1)

  • apps/plugin/hooks/hooks.json (SessionStart): ${CLAUDE_PLUGIN_ROOT}/hooks/session-start
  • Medium risk: runs-mcp-server-unpinned-runner (README.md:88)
  • Medium risk: runs-mcp-server-unpinned-runner (README.md:101)
  • Medium risk: runs-mcp-server-unpinned-runner (README.md:114)
  • Medium risk: runs-mcp-server-unpinned-runner (apps/plugin/.mcp.json)

Attribution and licence

First committed by
GitHub avatar of frankchu91frankchu91
Publisher
Haobing(Frank) Chu (Community)
Source
frankchu91/mindbase-llm-wiki · commit c5273d2
Licence
MIT License (files served here)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
frankchu91

AutoGineer is not affiliated with or endorsed by frankchu91.

Install from source

497 of its files are not served here, so there is no ZIP. frankchu91/mindbase-llm-wiki at c5273d2