Aether is an open-source control plane designed to unify and simplify the infrastructure stack required for deploying enterprise-class AI agents. It addresses the challenge of moving from prototype agent systems to production-ready, enterprise deployments by consolidating messaging, just-in-time (JIT) orchestration, identity and access control, audit logging, agent state management, and durable task execution into a single protocol. This approach reduces the need for separate integrations across multiple infrastructure components, allowing organizations to build auditable, multi-tenant, durable, observable, and access-controlled agent systems more efficiently.
The platform operates via a bidirectional gRPC stream that multiplexes messages, state operations, configuration snapshots, task assignments, and signals per principal, eliminating the need for additional wiring or side channels. Aether supports agents that can spin up on demand, with persistent messaging and orchestrator integration to handle agent lifecycle events such as scaling to zero, version pinning, and sandboxing. Durable tasks in Aether are designed to survive process crashes and network partitions, with features like atomic claim, checkpoint, completion, retry, and automatic reaping of stragglers when leases expire.
Identity management is enforced at the protocol layer, with eight principal types and routing permissions controlled by Casbin-backed access control lists (ACLs). Audit logging is comprehensive, capturing connections, messages, key-value writes, and ACL decisions by default, with retention options and query access through an admin API. The system is built for scalability, using stateless gateways and persisting shared state in Redis and RabbitMQ Streams, enabling clients to reconnect and resume operations seamlessly. Aether can be self-hosted anywhere, with SDKs available for Go, Python, and TypeScript, and offers a lightweight AetherLite version that runs as a single binary for edge or embedded use cases.
0 license, supporting deployment scenarios ranging from customer-facing chatbots and multi-agent collaboration to human-in-the-loop operations, durable task pipelines, cross-datacenter agent fabrics, and integration of legacy REST or WebSocket APIs into agent fleets. Its unified protocol and infrastructure abstraction make it suitable for a wide range of enterprise AI agent applications.
In the Autonomous agents & workflows space, Aether takes a focused approach. It focuses on simplifying the deployment and management of enterprise AI agents with unified orchestration and control. It is built as an open-source project for AI infrastructure engineers and developers. Aether is open source under the Apache-2.0 license. The product ships for the web and the command line, and it can be self-hosted.
Behind Aether is scitrera, and the product first shipped in 2026. Development happens publicly on GitHub with 76 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Aether occupies a relatively distinct niche. Key capabilities include agent orchestration, messaging bus, and identity management. It exposes integrations via a public API.
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