Alaya Memory Engine
@SecurityRonin
关于 Alaya Memory Engine
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.
基本信息
配置
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
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Alaya Memory Engine?
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.
How to use Alaya Memory Engine?
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.
Key features of Alaya Memory Engine
- Stores conversation episodes for long-term memory
- Consolidates knowledge via strengthening, transformation, and forgetting
- Builds a personal knowledge graph from interactions
- Discovers emergent categories, preferences, and semantic recall
- Runs fully local with SQLite and no external configuration
- Provides 10 dedicated MCP tools for memory management
Use cases of Alaya Memory Engine
- Giving conversational AI agents persistent, personalized memory
- Building a self‑updating knowledge base from user interactions
- Learning and adapting to user preferences over time
- Enabling semantic recall of past episodes and relationships
FAQ from Alaya Memory Engine
What tools does Alaya Memory Engine provide?
It provides 10 MCP tools: remember, recall, learn, status, knowledge, preferences, categories, neighbors, maintain, and purge.
Does Alaya Memory Engine require a cloud service or external API?
No. It runs entirely locally using SQLite with zero configuration. No external services or API keys are needed.
How is knowledge organized and retrieved?
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.
What makes Alaya Memory Engine different from a simple database or file storage?
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.
What transport or authentication does the server use?
—
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