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 | 6,200 | 1,430 | 272 | +10% |
| Real-time | 7 | 6,055 | 1,444 | 270 | -11% |
| Multi-agent systems | 6 | 556 | 175 | 81 | -7% |
| Secrets Management | 6 | 2,539 | 400 | 136 | +9% |
| LLM | 2 | 6,292 | 1,205 | 252 | -36% |
| MCP | 2 | 7,755 | 862 | 214 | 0% |
| Observability | 2 | 4,261 | 791 | 201 | +16% |
| Vector Search | 2 | 1,918 | 398 | 137 | -21% |
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