Total Recall FAQs

Question 1

Does Total Recall support different storage backends?

Accepted Answer

Yes, it features a robust, decoupled architecture with swappable and simultaneous multi-backend support. This allows for flexible storage solutions, graceful migration between backends, and even simultaneous writes to live and cold storage without data loss.

Question 2

What is 'claiming memory' in Total Recall?

Accepted Answer

'Claiming memory' is a critical mechanism where an AI agent actively reinforces a specific memory, making an explicit choice that 'this matters to me, I refuse to lose it.' Claimed memories resist decay much more strongly than merely stored memories, differentiating between simple data and core identity.

Question 3

What makes Total Recall different from a standard database or vector store?

Accepted Answer

Unlike a typical database or vector store, Total Recall is specifically engineered as a memory system for a synthetic mind. It focuses on persistent identity, contextual awareness, and active 'claiming' of memories, rather than just data storage and retrieval.

Question 4

What is Total Recall and its primary purpose?

Accepted Answer

Total Recall is an MCP server designed to provide a persistent synthetic memory system for AI agents. It serves as infrastructure for identity persistence, episodic memory, working context, and inter-instance communication for synthetic minds.

Question 5

How does Total Recall manage memory decay and recall?

Accepted Answer

It utilizes an attention-weighted recall and decay system, similar to biological memory. Memories are stored in tiered models (IDENTITY_CORE, ACTIVE_CONTEXT, LONG_TERM, ARCHIVE). Access increases attention scores, preventing decay, while inactive memories gracefully fade but are never truly lost and can be recalled.

Total Recall

Total Recall

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