Today’s update includes a major announcement about Losant's Gateway Edge Agent, along with new features for managing full-scale edge deployments and using AI assistants to debug workflows.
Following SUSE's acquisition of Losant in February 2026, our teams immediately began the work of integrating our companies, our products and our cultures. SUSE is, above all else, an open-source company; and while Losant does maintain a couple libraries with some community usage (such as Redis GCRA and SSL Validator), our core platform and its components have always been proprietary.
Today, we're proud to release our Gateway Edge Agent as an open-source project. Our engineering team has worked hard over the last several months separating the GEA from the platform code base and preparing it for this initial open-source release, and we're extremely excited to share this with our users.
Publishing the GEA's source code is just the first step in involving the larger community in the project; over the next several months, we plan to improve the developer experience in several ways, such as:
One of SUSE's core values is that "nobody is smarter than everybody", and we're putting that philosophy into action with today's open-source release. Our team can't wait to see how Losant users contribute to the GEA project.
The open-source GEA release also comes with a new edge workflow node for managing and monitoring Kubernetes clusters.
The Kubernetes Node allows a GEA instance to query, create and modify containerized applications running in a K8S cluster, whether the GEA is running within the cluster or alongside it.
Using this new node, application developers can monitor the health of containerized, cloud-native deployments running at the edge, and modify those deployments — manually or automatically in response to external events — from either the Losant cloud control plane or in the GEA itself.
As edge IoT deployments become more complex and integrate with other services and data sources (including AI tools and models), cluster management through Kubernetes becomes a vital component of any stack, and Losant's Gateway Edge Agent is now an excellent first-class tool for facilitating communication between the cloud and edge workloads.
Finally, we continue to add new features to Losant's MCP server, enabling developers to leverage their favorite AI tools to build multi-tenant, end-user-facing applications.
Today's release exposes two new tools:
losant_flow_debug_listener: Allows for attaching a listener to a workflow debug stream and optionally invoking a Virtual Button, allowing your agent to see how a given payload moves through the workflow and the end result of the execution. losant_flow_diagnostics: Allows for querying a workflow's historical run statistics (including execution times and frequencies) and recent errors.Using these new tools, developers can more easily debug workflows, including tracking down unexpected results and improving performance. Combined with the other tools exposed by the MCP server, we expect this to accelerate application development even more for our users.
With every new release, we listen to your feedback. By combining your suggestions with our roadmap, we can continue to improve the platform while maintaining its ease of use. Let us know what you think in the Losant Forums.