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Case Study 02

Snapshot: March 2026

Sovereign Stack, private memory infrastructure with real deployment shape.

This system turns memory from an application feature into a cluster-level service. Claude Web and CC each get their own sovereign gateway, local knowledge store, reranking, and cross-read search paths instead of sharing one vague context bucket.

  • 17 Claude Web tools
  • 19 CC tools
  • 7,576 memories on node03
  • 2 active sovereign gateways
Abstract systems diagram for Sovereign Stack

Phase One

Already deployed across the cluster.

The value here is not the idea of memory. It is the operating shape: separate gateways, separate stores, streamable MCP transport, and explicit cross-read paths where they are useful.

Node map
  • Claude Web sovereign gateway on node03.
  • CC sovereign gateway on node02.
  • Qdrant and Trilium running per node rather than as a single shared global dependency.
Retrieval shape
  • BGE-large embeddings and BGE reranking running with CUDA.
  • Streamable HTTP transport exposed on the MCP endpoint.
  • Cross-read tools so one sovereign surface can selectively search the other.
What makes it different

The system treats memory as infrastructure with topology, transport, and ownership boundaries. That is materially different from plugging a vector store into an app and calling it long-term context.

Current future-facing phases
  • Perception bridge and typed emotion state.
  • Neo4j knowledge graph and graph-enriched search.
  • Redis for ephemeral state and wider federation access.
Why it matters

This is the difference between “memory support” and a real sovereign context layer that other agents, services, and interfaces can build on without losing ownership boundaries.

Infrastructure

Designed for federation, not a toy demo.

  • Qdrant
  • Trilium
  • BGE-large-en-v1.5
  • BGE-reranker
  • Streamable HTTP
  • Claude Web gateway
  • CC gateway
  • Cross-read search
  • Cluster nodes
  • ETL pipeline

Need memory to behave like infrastructure instead of a plugin?

That usually means topology, ownership, and retrieval quality all need design work.

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