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LittleHorse's Saddle Command Center 1.3 introduces critical infrastructure for managing AI agents by enforcing deterministic workflows that separate judgment from action execution. This "decision worker pattern" directly addresses enterprise fragmentation, allowing organizations to safely integrate autonomous agents with existing legacy systems and microservices without ceding full control. The release marks a significant step toward scalable agent orchestration where business logic remains version-controlled and auditable alongside AI capabilities.
LittleHorse adds agent controls and free serverless trial to its ‘Business-as-Code’ orchestration platform
LittleHorse Enterprises LLC, a maker of workflow orchestration software spanning multiple applications, today announced version 1.3 of its Saddle Command Center, adding no-code agent deployment, prebuilt task workers, a JavaScript software development kit, and a free serverless trial to its platform for coordinating artificial intelligence agents and conventional software. The privately held company describes Saddle […] The post LittleHorse adds agent controls and free serverless trial to its ‘Business-as-Code’ orchestration platform appeared first on SiliconANGLE.
LittleHorse Enterprises LLC, a maker of workflow orchestration software spanning multiple applications, today announced version 1.3 of its Saddle Command Center, adding no-code agent deployment, prebuilt task workers, a JavaScript software development kit, and a free serverless trial to its platform for coordinating artificial intelligence agents and conventional software. The privately held company describes Saddle Command Center as an “action layer” that sits across agents, microservices, software-as-a-service applications and event streams. Its approach, called “Business-as-Code,” converts a business process…
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