Gnosem

Cross-vendor AI memory over the Model Context Protocol.

One persistent memory store thatClaude, 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.

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-timeapi_key. Save it — it's not shown again.

Auto-detects and configures Claude Desktop, Claude Code, Cursor, Windsurf, and Zed on this machine. Prompts for your API key, merges thegnosementry 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"]}}}'

Prototype caveats:single-user memory (no team sharing yet). No client-side encryption yet — memories are stored server-side in plaintext, encrypted at rest by Cloudflare. Semantic search uses Workers AI (BGE-base-en-v1.5, 768-dim). Rate limits: Cloudflare's default DDoS controls only.

Built on Cloudflare Workers + D1 + Vectorize + Workers AI.

Atlaso is a memory layer for AI tools — connect once and it automatically recalls the context that matters across Claude Code, Cursor, Codex, and every AI tool you use.

Privacy-first local memory vault every AI shares over MCP. Markdown + SQLite on your machine; Claude, ChatGPT, Cursor, and any MCP client read and write it live. No cloud, no account, no telemetry.

Generate random word pairs for the Imposter party game directly via Claude or Cursor. Let AI host your next social deduction game!

Shared company context and governed tools for ChatGPT, Claude, Codex and other MCP clients.

You decide what Claude remembers about you. LocalKeep is a personal timeline you curate—titled, dated, editable banks on your machine—then Claude looks them up via MCP instead of inventing uneditable cloud memory.

Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.

Persistent project context for AI coding agents: captures decisions, rationale, and rejected paths so agents stay consistent across Claude, Cursor, Codex, and any MCP enabled platform.

Private persistent memory for Claude, ChatGPT & Gemini via MCP — semantic search, zero-code setup.

Turn LinkedIn saved posts into a queryable knowledge base you can search, chat with, and connect to Claude or ChatGPT through MCP.

Cross-tool proactive memory + suggestions for Claude Code, Kimi Code, Cline, Cursor. Teach once, use everywhere.