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MCP server · RAG

OmniMem

Self-hosted semantic memory for AI Agents. Persistent sessions, experience scoring, and a graveyard for dead ends, backed by knowledge acquired from the RSS you read and stored in a Valkey vector search then exposed as an MCP server.

39Low

Scored 10 hours ago · breakdown

About OmniMem

OmniMem is an MCP server in the RAG category: self-hosted semantic memory for AI Agents. Persistent sessions, experience scoring, and a graveyard for dead ends, backed by knowledge acquired from the RSS you read and stored in a Valkey vector search then exposed as an MCP server. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/richarvey/OmniMem

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.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.
Questions

About OmniMem

How do I install OmniMem?

Run git clone https://github.com/richarvey/OmniMem, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is OmniMem safe to use with an AI agent?

Its trust score is 39 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 OmniMem still maintained?

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