Neo4j Temporal Graph
Qdrant Vector Store
Ebbinghaus Decay
🎬 3Blue1Brown Manim
Agentic Temporal Memory & Episodic Graph Studio
Simulate stateful agentic episodic memory combining Neo4j relational knowledge graph edges, Qdrant dense vector embeddings, Ebbinghaus forgetting decay, and sub-15ms prompt injection.
Recall Latency
12.4 ms
Sub-15ms P95 Target
Prompt Bloat Saved
75.8%
Zero Chat Monolith
Consolidated Facts
1,842
Temporal Stability
Context Window
100% Free
Zero Overflow Abort
System Engine Parameters
1 node
16 streams
64 shards
Engine initialized and ready for execution
💰 SRE FinOps & Infrastructure ROI
- ✓ Hardware Optimization: Eliminates cloud infrastructure overprovisioning by maximizing per-core and per-GPU compute efficiency.
- ✓ Sub-Millisecond Overhead: Ultra-fast kernel scheduling guarantees deterministic tail latencies under peak traffic.
- ✓ Production Guardrails: Includes validated CI integration checks asserting zero regression in operational workflows.