Runtime

Exosphere is an open source runtime that makes AI agents resilient to failure and able to scale across distributed compute. Its documentation describes it as an infrastructure layer for background AI workflows and agents that is reliable, affordable and simple to adopt, and says that with a few changes to existing agent code a team can take an agent from demo to deployment. The runtime executes workflows through a lightweight state based model. Built in retry policies use exponential backoff and jitter, and workflows can fan out dynamically to many parallel agents with automatic load distribution. Execution is organized as dynamic graphs of nodes, designed for durable agentic flows, and workflow state persists across restarts and failures through graph level key value storage. A visual dashboard provides real time execution tracking, debugging and management of workflows. The docs walk through running the Exosphere State Manager and Dashboard locally, creating a node and registering it with the runtime, triggering agent workflows, and deploying and monitoring them. Documentation also covers inference APIs, and the project accepts community contributions under a stated open source commitment. It is aimed at developers building data pipelines, AI agents and complex workflow orchestrations who need production grade reliability without writing their own retry and recovery machinery. The runtime is open source and the documentation publishes no pricing.