Jeff Hollan on Building Long-Running Agents with Foundry
Microsoft Foundry now offers generally available hosted agents, enabling developers to build long-running AI agents across frameworks, languages, and models with native compute and continuous optimization.
The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.
Microsoft Foundry’s Hosted Agents, now generally available, provide developers with a production-ready runtime for AI agents built using any framework, language, or model. This eliminates infrastructure bottlenecks by offering agent-native compute, allowing teams to transition from basic prompts to robust, long-running autonomous systems without managing underlying infrastructure.
The integration with GitHub Copilot, Microsoft IQ, Teams, and Agent 365 enables continuous learning and optimization, transforming AI from simple assistants into persistent, self-improving agents. This shift moves beyond one-shot interactions, emphasizing system reliability to prevent small errors from compounding into significant failures over extended operations.
By enabling agents to work across frameworks and models while continuously compounding learnings within Foundry, Microsoft is facilitating a shift from static automation to dynamic, self-improving workflows. This structural evolution supports enterprise-scale intelligence by providing the infrastructure needed for persistent, long-running systems.
The release underscores a broader trend toward operational maturity in enterprise AI, where organizations must redesign workflows around clarity, accountability, and clean data. Long-running agents expose inefficiencies in processes and ownership, making them a test of organizational readiness rather than just an IT implementation.