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com.usememra/memra

Official registry Security

Persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall, contradiction detection.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http memra 'https://usememra.com/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "memra": {
            "type": "http",
            "url": "https://usememra.com/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Memra MCP Server
  2. What it gives your agent
  3. Setup
  4. Docs

Memra MCP Server

Persistent memory for AI agents — remote MCP server. EU-hosted (Helsinki), privacy-first, deterministic recall with no LLM in the hot path.

Endpoint: https://usememra.com/mcp (Streamable HTTP) · Registry: com.usememra/memra · Free tier, no credit card.

What it gives your agent

  • memra_remember / memra_recall — store facts, decisions, patterns; hybrid semantic + lexical (BM25) search that also matches exact identifiers and error codes
  • Write-time contradiction detection — storing a fact that clashes with existing knowledge returns conflicts[] so the agent can supersede the outdated one
  • Read-your-writes — every write returns a revision token; recall with wait_for_revision is deterministic
  • memra_supersede + memra_history — memories retire with full audit chains instead of going stale
  • Staleness signals — every result carries staleness_score / last_confirmed; the agent decides what to trust
  • Token-budget recall — max_tokens: 2000 returns the best memories that fit your context window
  • memra_bootstrap — priority context at session start
  • Multi-tenant namespaces, PII masking (7 EU language models), read-only scoped keys for subagents

Setup

Get an API key at usememra.com (free tier), then:

Claude Code

claude mcp add --transport http memra https://usememra.com/mcp --header "Authorization: Bearer memra_live_YOUR_KEY"

Cursor / Cline / any MCP client (mcp.json)

{
  "mcpServers": {
    "memra": {
      "url": "https://usememra.com/mcp",
      "headers": { "Authorization": "Bearer memra_live_YOUR_KEY" }
    }
  }
}

Fully offline alternative: pip install memra-local — same tools, SQLite + ONNX embeddings, zero cloud calls.

Docs

SDKs: pip install memra-sdk · npm install @usememra/sdk · composer require memra/sdk

Frequently asked questions

What is com.usememra/memra?

Persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall, contradiction detection.

How do I install com.usememra/memra?

It runs as a remote server. In Claude Code: claude mcp add --transport http memra 'https://usememra.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does com.usememra/memra need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is com.usememra/memra open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains com.usememra/memra?

It is published by usememra. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.