Your LLM doesn't
know you.
One markdown folder. Every model — Claude, ChatGPT, Cursor, Gemini — knows you.
Stop re-explaining yourself every conversation. The portable LLM wiki is a vendor-neutral personal context store: your decisions, relationships, and operating principles in plain markdown, in your git, queryable over HTTP or MCP. Watch it work below — the answer is streaming live from the wiki.
Three operations.
That's the whole protocol.
see the spec →POST /owner/ingestPOST /wiki/chat/streamPOST /owner/lint/swarmPlug it into any LLM.
The wiki is vendor-neutral by design. Cursor, Claude, ChatGPT, Gemini, a local Llama — anything that can fetch a URL or speak MCP gets your context for free.
https://your-wiki.example.com/api/backend/.well-known/llm-wiki.json{
"mcpServers": {
"portable-llm-wiki": {
"command": "npx",
"args": ["-y", "portable-llm-wiki-mcp"],
"env": { "WIKI_BASE_URL": "https://your-wiki.example.com" }
}
}
}Host your own.
three paths, pick yoursThe whole protocol fits in one repo. No accounts, no hosted plan. Your markdown, your token, your URL.
render.yaml → Blueprintnpx create-portable-llm-wikidocker compose upAbout this demo
you're seeing thewiki-demo/ seedThis deployed instance is seeded with Avery Chen, a fictional founding engineer at Strand Bio — a synthetic-biology startup. Twenty-five pages across her entities, operating principles, career decisions (leaving grad school, joining Strand, postponing the Series A), saved deliberations, and source digests. Avery is here so the wiki has something real to talk about; when you host your own, you replace the folder with your own markdown.