What Horizons does
Effective AI agents need the same things effective employees need: they need to understand how the business works, access the right tools and systems, improve through feedback, and operate within clear boundaries. Horizons provides all of this as an open platform.Understand the work
Agents fail when they lack context. Horizons connects siloed data (CRMs, ticketing tools, data warehouses, internal applications) and gives agents a shared semantic layer through Context Refresh connectors. Agents understand where information lives, how it flows, and what decisions matter.Plan, act, and solve problems
With shared context in place, agents need to actually do the work. Horizons provides a complete agent execution environment: register agent specs, run them in sandboxed environments, propose and approve actions, and build long-term memory that improves performance over time.Improve quality on real work
Horizons includes built-in optimization and evaluation:Identity, permissions, and boundaries
Every agent has its own identity. Horizons enforces tenant isolation, explicit permissions via org and project scoping, and clear audit trails through durable Event Sync.Get started
Horizons Quickstart
Run the server and make your first API calls
Horizons Overview
Architecture, concepts, and the full platform API
Self-hosting
Deploy Horizons on your infrastructure
Python SDK
Async client for the Horizons REST API