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MCP server · Science

AI Dial Memory Backend

Persistent memory service for AI agents running on the DIAL platform, gives agents long-term memory across conversations by exposing MCP tools for storing and retrieving data.

Unclaimed ai-dialllm
34Low

Scored a month ago · breakdown

About AI Dial Memory Backend

AI Dial Memory Backend is an MCP server in the Science category: persistent memory service for AI agents running on the DIAL platform, gives agents long-term memory across conversations by exposing MCP tools for storing and retrieving data.

Install

From source
git clone https://github.com/epam/ai-dial-memory-backend

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 (4)

get_skillReturns the embedded skill instructions markdown. Agents call this once to load guidance on when/how to use memory tools.

Parameters not published.

prime_memoriesCalled once at dialogue start. Returns top-N core memories (by importance) plus episodic memories scoped to the current `app_name`.

Parameters not published.

search_archiveFull-text search over **episodic** memories. Returns matching `MemoryRow` objects.

Parameters not published.

store_memoryAppend a new memory row (`core` or `episodic`) with a content string, context label, and importance score (0.0–1.0).

Parameters not published.

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Questions

About AI Dial Memory Backend

How do I install AI Dial Memory Backend?

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

Is AI Dial Memory Backend 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 AI Dial Memory Backend still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.