dev.gnosem/gnosem

Cross-vendor AI memory over MCP.
One memory store. Every model. Claude, ChatGPT, Gemini, Kimi, Cursor, Windsurf — anything that speaks MCP.

gnosem.dev · pricing · llms.txt

What it is

Gnosem is a hosted Model Context Protocol server that gives each user one persistent memory store — readable and writeable from every MCP-capable AI client. Vendor-agnostic by design: a fact saved from Claude is visible in ChatGPT, Cursor, Windsurf, Zed, Kimi, and any other MCP client (or plain HTTP tool call) using the same API key.

The problem it solves: every AI vendor has its own proprietary memory. OpenAI's ChatGPT memory doesn't work in Claude. Anthropic's projects don't cross into GPT. Multi-model users retell context in every session. Gnosem is the neutral layer between vendors.

Tools exposed

• memory_write — save a fact, preference, decision, or note. content, tags?, written_by? (provenance), session_id?, no_optimize?
• memory_search — semantic search across your memories. query, k?, raw?
• memory_list — list recent memories in reverse-chronological order. limit?, cursor?, raw?
• memory_forget — soft-delete a memory by id
• memory_supersede — replace a stale memory with a corrected one

AI-optimized storage

Long memories (>400 chars) are automatically compressed on write to a structured-facts form (Workers AI, llama-3.1-8b-instruct-fast) with a strict prompt: TOPIC=..., PROJECT=..., DECISION=..., STACK=..., PROBLEM=.... The reading LLM ingests the compact form by default — fewer tokens, same meaning. The raw prose is preserved and returned as content_raw; pass raw:true to invert. Pass no_optimize:true on write to skip compression entirely.

Compression is guarded — if the model output isn't actually shorter, gnosem falls back to storing raw only. Fail-open: any AI error still saves the memory.

Quickstart

npx gnosem-install

Auto-detects and configures every MCP-capable client on your machine (Claude Desktop, Claude Code, Cursor, Windsurf, Zed). Prompts for your API key and merges the gnosem entry alongside your existing servers. Restart the affected clients — the five memory tools appear immediately.

Get an API key at gnosem.dev, or via the API:

curl -sX POST https://gnosem.dev/signup \
  -H "Content-Type: application/json" \
  -d '{"email":"you@example.com"}'

The key is displayed once. Save it.

Manual config (any MCP client)

{
  "mcpServers": {
    "gnosem": {
      "url": "https://gnosem.dev/mcp",
      "headers": { "Authorization": "Bearer gn_your_api_key" }
    }
  }
}

Quickstart — any HTTP client

# Write
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 for greenfield work.","written_by":"claude-code","tags":["preference"]}}}'

# Search
curl -sX POST https://gnosem.dev/mcp \
  -H "Authorization: Bearer gn_your_key" -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"memory_search","arguments":{"query":"database preference","k":5}}}'

Pricing

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... View full README on GitHub