Cross-vendor AI memory over the Model Context Protocol.
One persistent memory store that Claude, ChatGPT, Cursor, Windsurf, Kimi, Gemini — anything that speaks MCP or can call an HTTP tool — can read and write to. Write a fact in one, recall it from any other.
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Search a demo memory graph — no signup, no config. This is the same engine you'd wire your models into.
curl -sX POST https://gnosem.dev/signup \
-H "Content-Type: application/json" \
-d '{"email":"you@example.com"}'
Returns a one-time api_key. Save it — it's not shown again.
npx gnosem-install
Auto-detects and configures Claude Desktop, Claude Code, Cursor, Windsurf, and Zed on this machine. Prompts for your API key, merges the gnosem entry into each config alongside your existing MCP servers, backs up every file it touches. Then restart the affected clients.
Prefer to configure manually? Add this to your client's MCP config:
{
"mcpServers": {
"gnosem": {
"url": "https://gnosem.dev/mcp",
"headers": { "Authorization": "Bearer gn_your_key_here" }
}
}
}
After restart, your assistant sees 5 tools: memory_write, memory_search, memory_list, memory_forget, memory_supersede.
curl -sX POST https://gnosem.dev/mcp \
-H "Authorization: Bearer gn_your_key" \
-H "Content-Type: application/json" \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"memory_write","arguments":{"content":"I prefer Postgres over MongoDB for greenfield work.","written_by":"manual","tags":["preference","stack"]}}}'
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