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LAB 02 // RESEARCH PROTOTYPE/INTERACTIVE SIMULATION

SHADOW

LOCAL-FIRST AI ASSISTANT

“Autonomous intelligence, context retrieval, and capability sandboxing on local silicon.”

TARGET INFERENCE:LOCAL ON-DEVICE SILICON
TARGET MEMORY:EPSILION HNSW VECTOR GRAPH
LAB SIMULATION:DETERMINISTIC LOCAL BROWSER
STATUS:INTERACTIVE PROTOTYPE
INTELLIGENCE WORKBENCH:
IDLE // STANDBY
ILLUSTRATIVE SIMULATION // DETERMINISTIC LOCAL BENCH
CONTEXT CONSTELLATION // LOCAL MEMORY MAP
REQUEST•MEMORY REF•TOOL•
INGRESS AXIS // 01EPSILION MEMORY CLUSTER // 02SYNTHESIS // 03ConditionsInvokesReferencesReferencesReferencesGroundsGroundsGroundsFeedsUSER INTENTUser RequestIngress QueryWORKING CONTEXTWorking ScopeLocal Session BoundaryILLUSTRATIVE MEMORYepsilion.spec.mdArchitecture DocumentILLUSTRATIVE MEMORYvector_store.rsStorage ImplementationILLUSTRATIVE MEMORYzero_leakage.policyPrivacy InvariantSIMULATED TOOLepsilion_graph_querySimulated CapabilityRESPONSE RESULTEditorial SynthesisConversational Output
TAP NODE TO INSPECT CONTEXT:
CONTEXT INSPECTOR
USER INTENT

User Request

ROLE // Ingress Query

The user asks for historical context regarding the Epsilion architecture.

SYSTEM FUNCTION:Primary prompt entering the local assistant runtime.
ILLUSTRATIVE CONTEXT PAYLOAD:
Query: "What do you remember about Epsilion?" · Format: Text Ingress · Zero external routing.
CONNECTED RELATIONSHIPS (2):
ILLUSTRATIVE SAMPLE NODELOCAL BROWSER SIMULATION
Awaiting simulation dispatch. Click to inspect live log frames.
Click to expand
01 / ON-DEVICE INFERENCE

Local intelligence processes intent directly on device silicon. Prompts and contextual graphs remain confined to host memory.

02 / EPSILION CONTEXT GRAPH

Persistent memories and architectural documents form an on-device semantic graph, grounding user inquiries without external API leaks.

03 / DETERMINISTIC WORKBENCH

This interactive exhibit is a deterministic simulation demonstrating the local agent lifecycle, context mapping, and capabilities sandboxing.