Agentram
БесплатноНе проверенProvides 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
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 anagent_id+key. Optionalttl_daysfor auto-expiry.retrieve_memory: Read a memory back byagent_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
- AgentRAM website: agentram.dev
- Full API docs: agentram.dev/docs.html
- Issues: github.com/seanmarkwei/agentram-mcp/issues
License
MIT
Установка Agentram
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/seanmarkwei/agentram-mcpFAQ
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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