Is this skill compatible with decentralized web standards?

Yes, through its support for Solid PODs, this skill allows Claude to interact with data stored in decentralized, user-controlled personal data stores.

How does Mem0 integration benefit Claude?

Mem0 provides a specialized memory layer for LLM agents, enabling Claude to recall specific facts, user preferences, and historical interactions more efficiently.

What is Graphiti MCP?

Graphiti MCP is a Model Context Protocol server that enables the management of temporal knowledge graphs, helping the AI understand how information evolves over time.

What is a Personal Knowledge Graph (PKG)?

A PKG is a system that allows individuals to store and manage their data and knowledge in a structured, searchable format that AI agents can access to provide personalized context.

Does this skill support local data storage?

Yes, it integrates with Logseq, a local-first, privacy-focused knowledge base, allowing the AI to bridge local blocks with its memory.

PKG Memory Bridge

Name: PKG Memory Bridge
Author: plurigrid

byplurigrid

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Data Science & ML

Bridges Claude to external Personal Knowledge Graph systems like Mem0, Graphiti, and Solid PODs for persistent AI memory.

About

The PKG Memory Bridge is a specialized skill that enables Claude to interface with diverse Personal Knowledge Graph (PKG) systems to create a persistent, individuated memory layer. By integrating with tools like Mem0 for long-term agent memory, Graphiti for temporal knowledge graphs, and Solid PODs for decentralized data storage, this skill allows AI agents to maintain deep context and user-specific history. It is an essential component for developers building sophisticated assistants that need to synchronize information across local databases like Logseq and cloud-based memory indices while maintaining topological coherence.

Key Features

Local block-level synchronization with Logseq knowledge bases
Support for Graphiti MCP to manage complex temporal knowledge graphs
2 GitHub stars
Seamless integration with Mem0 for persistent LLM agent memory
Decentralized data management via Solid POD REST and SPARQL interfaces
Topological composition using GF(3) balanced triads for agent coherence

Use Cases

Building decentralized applications that store user-generated AI insights in Solid PODs
Developing personalized AI assistants that remember user preferences across sessions
Automating the population of personal knowledge bases from AI-driven research

About

Key Features

Local block-level synchronization with Logseq knowledge bases
Support for Graphiti MCP to manage complex temporal knowledge graphs
2 GitHub stars
Seamless integration with Mem0 for persistent LLM agent memory
Decentralized data management via Solid POD REST and SPARQL interfaces
Topological composition using GF(3) balanced triads for agent coherence

Use Cases

Building decentralized applications that store user-generated AI insights in Solid PODs
Developing personalized AI assistants that remember user preferences across sessions
Automating the population of personal knowledge bases from AI-driven research