What is an atom in Memory Engine?
An atom is a unit of knowledge that can represent facts, decisions, events, preferences, logs, procedures, notes, or session messages. Each atom has properties like weight, recency, confidence, and optional TTL.
@SimoneB79
基本信息
Atomic memory model — knowledge stored as atoms (facts, decisions, events, preferences, logs, procedures, notes, session messages)
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"memory-engine": {
"url": "http://localhost:8085/sse",
"transport": "sse"
}
}
}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。
Memory Engine is an MCP server that implements an atomic memory model for storing and retrieving knowledge as atoms (facts, decisions, events, preferences, logs, procedures, notes, session messages). It uses multi-factor ranking (FTS relevance × confidence × recency × weight), organic decay, and a learning engine to manage memory over time.
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An atom is a unit of knowledge that can represent facts, decisions, events, preferences, logs, procedures, notes, or session messages. Each atom has properties like weight, recency, confidence, and optional TTL.
Recall uses a multi-factor formula: FTS relevance × confidence × recency × weight. This is not just BM25 but combines multiple signals to prioritize important or timely knowledge.
Yes, Memory Engine supports a one-way sync from existing markdown notes. The import is designed for coexistence with, not replacement of, your original files.
Atoms undergo organic decay, losing weight if not accessed. Critical atoms can be flagged for review. Additionally, atoms with TTL expire automatically.

Ask your Takibi Base collections anything; get answers with cited passages and a support score.
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One permissioned folder your team and your AI agents both log into.

Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.
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