Durable runtimes for production AI agents - persistence, recovery, and state

Durable runtimes for production AI agents - persistence, recovery, and state targets a $3.0B = 100k developer-first SaaS companies x $30k ACV. Rationale: target customers are SaaS companies with engineering teams likely to add agents, pricing assumes a $2.5k monthly runtime/ops subscription per product instance. total addressable market with low saturation and a year-over-year growth rate of 40% adoption growth in agent-enabled features among developer-first SaaS over next 3 years.

Key trends driving demand: Agent frameworks -- langchain and other agent stacks make workflows modular and popular, increasing demand for durable execution environments; Stateful AI workflows -- more agents require persistent memory, files, and browser state to deliver correct results; Serverless limits -- serverless functions are ephemeral and push teams to seek runtimes that support long-lived processes and recovery; Observability and reliability expectations -- enterprise customers expect SLAs and predictable recovery behaviors for automated agents.