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Agentram

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Provides persistent memory for AI agents via 10 MCP tools that map to the AgentRAM REST API, enabling store, retrieve, search, and share memories across persona

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Описание

Provides persistent memory for AI agents via 10 MCP tools that map to the AgentRAM REST API, enabling store, retrieve, search, and share memories across personal and shared namespaces.

README

agentram-mcp

Model Context Protocol server for AgentRAM. Give your AI agents persistent memory in Claude Desktop, Cline, Cursor, and any other MCP-compatible client.

What you get

10 MCP tools that map 1:1 to the AgentRAM REST API.

Personal agent memory

  • store_memory: Write a value under an agent_id + key. Optional ttl_days for auto-expiry.
  • retrieve_memory: Read a memory back by agent_id + key. Refunds the credit on 404.
  • list_memories: List everything stored for an agent, newest first.
  • search_memories: Case-insensitive text search across keys and values. No embeddings needed.
  • delete_memory: Permanently delete a memory.

Shared multi-agent memory

  • create_namespace: Create a shared memory pool that multiple agents can read and write to. Free.
  • store_shared_memory: Write to a shared namespace.
  • retrieve_shared_memory: Read from a shared namespace.
  • list_shared_memories: List everything in a namespace.

Utility

  • check_credits: Show your current account balance. Free, no credit deducted.

Each non-free tool costs 1 credit. Reads and writes are the same price.

Get an API key

Sign up at agentram.dev. You get 100 free credits on signup. No credit card required.

Install in Claude Desktop

Edit claude_desktop_config.json:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add:

{
  "mcpServers": {
    "agentram": {
      "command": "npx",
      "args": ["-y", "agentram-mcp"],
      "env": {
        "AGENTRAM_API_KEY": "agentram_your_key_here"
      }
    }
  }
}

Restart Claude Desktop. The 10 tools will appear in the MCP picker.

Install in Cline (VS Code)

In Cline's MCP settings, add:

{
  "mcpServers": {
    "agentram": {
      "command": "npx",
      "args": ["-y", "agentram-mcp"],
      "env": {
        "AGENTRAM_API_KEY": "agentram_your_key_here"
      }
    }
  }
}

Install in Cursor

In Cursor's MCP settings, add:

{
  "mcpServers": {
    "agentram": {
      "command": "npx",
      "args": ["-y", "agentram-mcp"],
      "env": {
        "AGENTRAM_API_KEY": "agentram_your_key_here"
      }
    }
  }
}

Try it locally before publishing

npm install
npm run build
AGENTRAM_API_KEY=your_key node dist/index.js

Or open the MCP Inspector web UI:

AGENTRAM_API_KEY=your_key npx @modelcontextprotocol/inspector node dist/index.js

The Inspector lets you list tools and invoke each one manually to verify everything works against the real API.

Environment variables

Variable Required Description
AGENTRAM_API_KEY Yes Your AgentRAM API key, starts with agentram_
AGENTRAM_API_BASE No Override the API base URL. Defaults to https://api.agentram.dev

Links

License

MIT

from github.com/seanmarkwei/agentram-mcp

Установка Agentram

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/seanmarkwei/agentram-mcp

FAQ

Agentram MCP бесплатный?

Да, Agentram MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Agentram?

Нет, Agentram работает без API-ключей и переменных окружения.

Agentram — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Agentram в Claude Desktop, Claude Code или Cursor?

Открой Agentram на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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