Manage stateful AI agents: persistent memory, actions, and tool integration

Manage stateful AI agents: persistent memory, actions, and tool integration targets a $50.0B = 50,000 global enterprises x $1M annual spend on AI agent/platform tooling total addressable market with medium saturation and a year-over-year growth rate of 45%.

Key trends driving demand: Agentization-of-software -- Organizations are moving from single-turn chat to multi-step autonomous agents, creating demand for runtimes and state management.; RAG-and-memory-maturation -- Vector DBs, embeddings, and memory patterns make persistent, contextual agents practical and more accurate across sessions.; Function-calling-and-plugins -- Model-native function calling and plugin ecosystems enable agents to execute real actions, increasing need for safe orchestration and governance.; Observability-for-AI -- Production AI requires audit logs, lineage, and performance metrics, driving platforms that centralize agent telemetry..