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MCP server · RAG

Papez

· github.com/Astrix-Labs/papez

Open-source causal graph memory for AI agents. 85.55 on LoCoMo under a frozen, reproducible protocol. MCP server with ACT-R scoring, spreading activation, and active forgetting.

Unclaimed agentsaiai-agentsai-memorycausal-graphcausal-graphsclaudeknowledge-graphllmlocomomcpmemoryopenaipgvectorpostgresqlpythonragvector-search
InstallView source
39Low

Scored yesterday · breakdown

About Papez

Papez is an MCP server in the RAG category: open-source causal graph memory for AI agents. 85.55 on LoCoMo under a frozen, reproducible protocol. MCP server with ACT-R scoring, spreading activation, and active forgetting. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/Astrix-Labs/papez

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 Papez

How do I install Papez?

Run git clone https://github.com/Astrix-Labs/papez, 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 Papez 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 Papez still maintained?

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