1. Conduid
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  3. Memory V3
MCP server · RAG

Memory V3

Brain-inspired persistent memory for AI coding assistants. MAGMA multi-graph, 3-stage retrieval, ACT-R + surprise scoring, constitutional governance, sleep consolidation, self-linking Zettelkasten. Successor to memory-v2.

34Low

Scored a month ago · breakdown

About Memory V3

Memory V3 is an MCP server published by Haustorium12 in the RAG category: brain-inspired persistent memory for AI coding assistants. MAGMA multi-graph, 3-stage retrieval, ACT-R + surprise scoring, constitutional governance, sleep consolidation, self-linking Zettelkasten. Successor to memory-v2.

The repository has 5 stars and 5 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/Haustorium12/memory-v3

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (5)

add_memoryStore a new memory with auto-classification (governance layer, structure type, surprise score). Routes through credential scan, embedding, novelty check, and optional async write queue. Zettelkasten auto-linking runs in a background thread.

Parameters not published.

forgetArchive a memory to the graveyard. Protected memories and Layer 1/2 memories are rejected.

Parameters not published.

getRetrieve a single memory by ID with full content, metadata, governance info, and verification status.

Parameters not published.

link_memoriesCreate a manual bidirectional zettelkasten link between two memories with an optional description.

Parameters not published.

updateModify an existing memory's content, tags, protected status, governance layer, or structure type.

Parameters not published.

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Questions

About Memory V3

How do I install Memory V3?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Memory V3 safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Memory V3 still maintained?

The last commit was 6 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.