Diving into the AI iceberg: What lies beneath your AI agents
Blog post from Temporal
A collaborative effort between Temporal, Neo4j, Auth0, and Redpanda has unveiled the complex infrastructure supporting AI agents, highlighting the essential components beneath the user interface. This initiative, centered around a Deep Research Agent developed at Temporal, illustrates the orchestration, data persistence, security, and real-time streaming necessary for AI applications. Temporal manages the workflow, ensuring durability and reliability across multiple agent interactions. Neo4j provides a knowledge graph for persistent memory and session continuity, while Auth0 secures user authentication and API interactions. Redpanda facilitates real-time event streaming for comprehensive monitoring and analytics. The integration of these technologies results in a resilient and production-ready AI system, demonstrating the importance of infrastructure in advancing AI capabilities beyond mere model performance.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 8 | 6,005 | 1,359 | 264 | +22% |
| Real-time | 7 | 5,601 | 1,340 | 262 | -2% |
| Multi-agent systems | 6 | 532 | 166 | 79 | -3% |
| Secrets Management | 6 | 2,476 | 387 | 132 | +15% |
| LLM | 2 | 6,196 | 1,155 | 243 | -32% |
| MCP | 2 | 7,550 | 833 | 207 | +6% |
| Observability | 2 | 4,166 | 768 | 194 | +22% |
| Vector Search | 2 | 1,895 | 382 | 133 | -16% |
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