Latent Space Hub
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Latent Space Hub
LS Wiki-Base for the Latent Space community. Podcasts, articles, AI news, conference talks, papers β searchable via semantic vector search and connected in a wiki-base.
Built on the RA-H foundation, deployed as its own product.
Tech Stack
- Framework: Next.js 15 + TypeScript + Tailwind CSS
- Database: Turso (cloud SQLite via
@libsql/client) - Search: Turso native vector search (F32_BLOB + vector_top_k) + FTS5
- AI: Anthropic (Claude) + OpenAI (GPT) models via Vercel AI SDK β BYO keys
- MCP: Model Context Protocol server for AI agent access
- Deployment: Vercel (readonly mode for public)
Local Development
git clone https://github.com/bradwmorris/latent-space-hub.git
cd latent-space-hub
cp .env.example .env.local # Add your Turso + API keys
npm install
npm run dev # localhost:3000
Required Environment Variables
TURSO_DATABASE_URL= # Your Turso database URL
TURSO_AUTH_TOKEN= # Turso auth token
ANTHROPIC_API_KEY= # For Claude models
OPENAI_API_KEY= # For GPT models + embeddings
Project Layout
app/ Next.js App Router (pages + API routes)
src/
components/ UI components (2-panel layout)
services/
database/ Turso client, node/edge/chunk services
agents/ Agent logic
embedding/ Embedding generation
extractors/ YouTube, website, PDF extraction
tools/ MCP tools + database CRUD tools
config/
prompts/ Agent system prompts
guides/ Built-in markdown guides
apps/
mcp-server/ MCP server (HTTP + stdio)
docs/ System documentation
docs/development/ Dev workflow, backlog, PRDs
Agent Entrypoint
For agent context and ordered skill loading, start at AGENTS.md.
Commands
| Command | Description |
|---|---|
npm run dev | Dev server at localhost:3000 |
npm run build | Production build |
npm run type-check | TypeScript validation |
MCP Integration
Connect Claude Code or any MCP-compatible assistant:
{
"mcpServers": {
"latent-space": {
"command": "node",
"args": ["/path/to/latent-space-hub/apps/mcp-server/stdio-server.js"]
}
}
}
Want to Self-Host Your Own?
This repo is the Latent Space community wiki-base. If you want to run your own local-first wiki-base with a private SQLite database, use the open-source version: RA-H Open Source.
Contributing
See CONTRIBUTING.md. Issues and PRs welcome.
