What makes Engram Rs different from other memory systems?
It uses a three-layer cognitive architecture with automatic decay, promotion, and consolidation, mimicking human memory dynamics rather than a flat storage approach.
E
Engram Rs MCP Server
@kael-bit
关于 Engram Rs MCP Server
Hierarchical memory for AI agents. Three-layer (buffer/working/core) with automatic decay, promotion, and semantic search.
Engram Rs MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"engram": {
"command": "npx",
"args": [
"-y",
"engram-rs-mcp"
],
"env": {
"ENGRAM_URL": "http://localhost:3917",
"ENGRAM_API_KEY": "",
"ENGRAM_NAMESPACE": ""
}
}
}
}Engram Rs MCP Server 工具
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,在临时沙箱中运行此服务器并实时获取工具列表。
概览
What is Engram Rs?
Engram Rs is a Model Context Protocol (MCP) server that gives AI agents persistent, human-like memory. It organizes memories through three cognitive layers — buffer (short-term), working (active knowledge), and core (long-term) — with automatic decay, promotion, and consolidation. Built as a local-first, single-binary Rust server using SQLite, it is designed for developers adding long-term memory to MCP-compatible AI clients.
How to use Engram Rs?
Download the platform-specific Rust binary and run it with any MCP client that supports stdio transport, such as Claude Desktop, Cursor, or Windsurf. The server exposes tools for storing, searching, deduplicating, and managing memories across isolated namespaces, and it can extract session context from LLM conversations.
Key features of Engram Rs
- Three-tier memory: buffer, working, and core layers
- Semantic search via HNSW vector index
- Automatic deduplication and merging of memories
- Namespace isolation for multi-agent setups
- Session context extraction from LLM conversations
- Local-first, single-binary Rust server with SQLite
Use cases of Engram Rs
- Give conversational AI agents persistent, long-term memory across sessions
- Manage multiple agent identities with isolated memory namespaces
- Extract and consolidate key information from ongoing LLM conversations
- Maintain context and knowledge without relying on proprietary cloud services
常见问题
What runtime or dependencies are required?
None beyond the compiled Rust binary. It is a local-first, single‑binary server that uses SQLite – no external databases, cloud services, or additional runtimes needed.
Where are memories stored?
All memories are stored locally in an SQLite database managed by the Rust server. No data is sent to external services.
What transport and authentication does it use?
It uses the MCP protocol over stdio transport. Authentication is not covered in the README.
What clients does Engram Rs work with?
It works with Claude Desktop, Cursor, Windsurf, and any MCP‑compatible client that supports stdio transport.
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