Temporal Substrate Architecture: Building Persistent Identity for Autonomous Agents
summary
Claims a production architecture that gives agents a sense of time using Neo4j and an MCP server with a two‑layer temporal substrate (process/time) and knowledge layer, backed by Claude for extraction, n8n for scheduled runs, Astro for dashboards and ExtraHop/Splunk ETL for telemetry. Demonstrations include autonomous network security analysis, contact‑center knowledge transfer, and manager dashboards. Notes industry failure rates (95% of GenAI pilots show no measurable return) to justify building graph‑native memory that records exist examine record report.
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chapters (6)
- 0:00Introduction to temporal substrate
- 6:46Solving memory in LLMs
- 18:48Knowledge transfer with graphs
- 24:31Enterprise infrastructure mapping
- 26:21Autonomous agent phenomenology
- 29:55Q&A and conclusion
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