Is Engram Mcp Server free to use?
Yes, it is free during the public beta and does not require a credit card.
@lumetra-io
基本信息
Give your AI agents a memory they can trust. Engram lets your AI remember past conversations, facts, and decisions, so it feels more like a real teammate.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"engram": {
"url": "https://engram.lumetra.io",
"headers": {
"X-API-Key": "<your-api-key>"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Engram Mcp Server is a hosted MCP (Model Context Protocol) server that gives AI agents reliable, persistent memory. It allows agents to remember past conversations, facts, and decisions, making them feel more like real teammates. The service is provided by Lumetra and is free during public beta with no credit card required.
To use Engram Mcp Server, sign up at lumetra.io to get an API key, then configure your MCP client (e.g., Claude Code, Windsurf, Cursor) with the server URL https://engram.lumetra.io and your API key in the appropriate config file or command. After restarting the client, the agent will have access to memory tools like store_memory, search_memories, and delete_by_event.
explain_retrieval to show why results were chosenYes, it is free during the public beta and does not require a credit card.
No. Engram is a hosted service running at `https://engram.lumetra.io`; there is no local installation required.
The README provides configuration examples for Claude Code, Windsurf, and Cursor. It also notes that other MCP clients are supported via the same configuration pattern.
The tools include: `store_memory`, `store_memories`, `search_memories`, `memory_index`, `delete_by_event`, and `explain_retrieval`.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

MCP connector for Snipara, the Project Brain for AI coding agents

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference
评论