Jean Memory

Created By
jonathan-politzkia year ago
Premium, consistent memory and long-term storage across AI applications. Remote MCP server.
Overview

What is Jean Memory?

Jean Memory is a secure, unified memory layer that works across all AI applications, allowing AI assistants to remember user preferences and context while maintaining privacy.

How to use Jean Memory?

Users can sign up for the hosted service at jeanmemory.com or run it locally by cloning the repository and following the setup instructions. The integration involves a simple command to connect AI tools.

Key features of Jean Memory?

  • Cross-Application Memory: Share context seamlessly between various AI tools.
  • MCP Protocol: Built for maximum compatibility with AI applications.
  • Local & Cloud Options: Users can choose between hosted or local deployment.
  • Developer-Friendly: Easy APIs and setup commands.

Use cases of Jean Memory?

  1. Personal AI Assistant: Remember user preferences across AI interactions.
  2. Development Work: Maintain context across coding sessions in different tools.
  3. Research & Writing: Track insights and references across platforms.
  4. Customer Support: Build AI that remembers customer history and preferences.

FAQ from Jean Memory?

  • Is my data secure?

Yes! Jean Memory uses end-to-end encryption to keep your memories private.

  • Can I run Jean Memory locally?

Yes! You can choose to run it locally for complete control over your data.

  • What applications does Jean Memory support?

It works with any MCP-compatible application, including Claude, Cursor, and more.

Server Config

{
  "mcpServers": {
    "jean-memory": {
      "command": "npx",
      "args": [
        "-y",
        "supergateway",
        "--sse",
        "https://api.jeanmemory.com/mcp/claude/sse/773e2c10-1fd1-48cb-bc15-7674aaa9b09c"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
jonathan-politzki
Star
-
Language
-
License
-

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

3 hours ago
Gpt Scrambler

2 days ago