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 | 7,309 | 1,584 | 286 | +10% |
| Real-time | 7 | 6,487 | 1,570 | 284 | -12% |
| Multi-agent systems | 6 | 623 | 210 | 88 | -4% |
| Secrets Management | 6 | 2,697 | 451 | 146 | +10% |
| LLM | 2 | 6,898 | 1,301 | 264 | -35% |
| MCP | 2 | 11,090 | 963 | 226 | -17% |
| Observability | 2 | 4,491 | 864 | 207 | +9% |
| Vector Search | 2 | 2,170 | 450 | 146 | -18% |
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