pkg-memory-bridge
Bridge to PKG systems (Mem0, Graphiti, Solid PODs, Logseq) for individuated information indices
When & Why to Use This Skill
The pkg-memory-bridge is a sophisticated Claude skill designed to interface with Personal Knowledge Graph (PKG) systems such as Mem0, Graphiti, Solid PODs, and Logseq. It empowers AI agents with long-term, individuated memory and structured information indexing, enabling highly personalized, context-aware, and temporally relevant interactions by bridging the gap between LLMs and external knowledge ecosystems.
Use Cases
- Persistent Agent Memory: Utilizing Mem0 to store and retrieve user-specific preferences and historical interactions, ensuring continuity across different AI sessions.
- Temporal Knowledge Tracking: Integrating with Graphiti to maintain a dynamic knowledge graph that tracks how information and data relationships evolve over time.
- Decentralized Data Access: Connecting to Solid PODs to allow AI agents to securely interact with personal data while maintaining user ownership and privacy.
- Personal Knowledge Base Syncing: Interfacing with Logseq to enable Claude to query, update, and reason over a user's local, block-level personal digital garden.
| name | pkg-memory-bridge |
|---|---|
| description | Bridge to PKG systems (Mem0, Graphiti, Solid PODs, Logseq) for individuated information indices |
| version | 1.0.0 |
PKG Memory Bridge Skill
Connects music-topos to external Personal Knowledge Graph systems.
GF(3) Triads
shadow-goblin (-1) ⊗ pkg-memory-bridge (0) ⊗ gay-mcp (+1) = 0 ✓ [Memory Trace]
temporal-coalgebra (-1) ⊗ pkg-memory-bridge (0) ⊗ agent-o-rama (+1) = 0 ✓ [Temporal KG]
keychain-secure (-1) ⊗ pkg-memory-bridge (0) ⊗ pulse-mcp-stream (+1) = 0 ✓ [Auth + Stream]
Supported Systems
| System | API | Use Case |
|---|---|---|
| Mem0 | pip install mem0ai |
LLM agent memory |
| Graphiti | MCP Server | Temporal knowledge graph |
| Solid POD | REST/SPARQL | Decentralized personal data |
| Logseq | Local DB | Block-level PKB |
Quick Integration
from mem0 import Memory
m = Memory()
m.add("User prefers GF(3) balanced triads", user_id="bmorphism")
results = m.search("color conservation", user_id="bmorphism")
Graphiti MCP
# Add to .mcp.json
{"mcpServers": {"graphiti": {"command": "uvx", "args": ["graphiti-mcp"]}}}
Key Researchers
- Krisztian Balog (PKG ecosystem)
- Gordon Bell (MyLifeBits/memex)
- Mem0 team (Prateek Chhikara, Taranjeet Singh)
- Zep/Graphiti (temporal KG)
Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
Graph Theory
- networkx [○] via bicomodule
- Universal graph hub
Bibliography References
general: 734 citations in bib.duckdb
Cat# Integration
This skill maps to Cat# = Comod(P) as a bicomodule in the equipment structure:
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
GF(3) Naturality
The skill participates in triads satisfying:
(-1) + (0) + (+1) ≡ 0 (mod 3)
This ensures compositional coherence in the Cat# equipment structure.