Engram Memory FAQs

Question 1

What is Engram Memory?

Accepted Answer

Engram Memory is a self-hosted, three-tiered persistent memory system designed for AI agents. It uses semantic embeddings to store, search, and recall memories, ensuring zero API costs and full data privacy by running locally on your hardware.

Question 2

How does Engram Memory ensure zero API costs and data privacy?

Accepted Answer

By being entirely self-hosted. It deploys Qdrant (vector database) and FastEmbed (local embedding model) on your machine using Docker, meaning all data processing and storage occurs locally without any external API calls or data leaving your network.

Question 3

Which AI coding assistants can integrate with Engram Memory?

Accepted Answer

Engram Memory integrates seamlessly as an OpenClaw plugin or a universal MCP server, making it compatible with popular AI coding assistants like Claude Code, Cursor, Windsurf, and VS Code.

Question 4

What are the core memory operations offered by Engram Memory?

Accepted Answer

It provides essential tools for `memory_store` (saving memories with auto-classification), `memory_search` (semantic similarity search), `memory_recall` (auto-injecting relevant context), and `memory_forget` (removing memories).

Question 5

What is the three-tiered recall engine?

Accepted Answer

The three-tiered recall engine is Engram's advanced memory retrieval system, combining a Hot Cache for sub-millisecond access, a Hash Index for O(1) lookups, and Qdrant ANN for comprehensive vector similarity search, ensuring efficient and accurate memory recall.

Engram Memory

Engram Memory

主要功能

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主要功能

使用案例