What tools does Alaya Memory Engine provide?
It provides 10 MCP tools: `remember`, `recall`, `learn`, `status`, `knowledge`, `preferences`, `categories`, `neighbors`, `maintain`, and `purge`.
@SecurityRonin
基本信息
A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. Local SQLite, zero config, 10 MCP tools.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"alaya": {
"command": "npx",
"args": [
"-y",
"alaya-mcp"
]
}
}
}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。
Alaya Memory Engine is a local memory server for AI agents. It stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle (strengthening, transformation, forgetting), and builds a personal knowledge graph with emergent categories, preferences, and semantic recall. It is designed for developers who want their AI agents to have persistent, evolving memory.
Install the server via npx alaya-memory-engine (zero configuration required) and configure your MCP client to connect to it. The server exposes 10 MCP tools: remember, recall, learn, status, knowledge, preferences, categories, neighbors, maintain, and purge.
It provides 10 MCP tools: `remember`, `recall`, `learn`, `status`, `knowledge`, `preferences`, `categories`, `neighbors`, `maintain`, and `purge`.
No. It runs entirely locally using SQLite with zero configuration. No external services or API keys are needed.
Knowledge is stored as a personal knowledge graph with emergent categories, preferences, and semantic recall. The `recall` tool retrieves relevant memories based on the learned graph structure.
It uses a neuroscience‑inspired lifecycle that strengthens important memories, transforms related knowledge, and forgets irrelevant information over time, mimicking human memory processes rather than simple storage.
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