Build, deploy, and manage AI agents that do real work. Fully open source. Deploy on your infrastructure, embed in your own product, or run as a managed service. No closed ecosystem, no waiting list.
Enterprise agent platforms are emerging, but they’re closed, vendor-locked, and available only to select customers. Horizons is the open-source alternative: the same end-to-end capabilities (shared business context, agent execution, optimization, identity and permissions) that you own and control completely.
Horizons is production-ready today. Clone the repo, run the server, and start building. Use it internally, or ship it to your own customers as part of your product.
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
git clone https://github.com/synth-laboratories/Horizons.git
cd Horizons
docker compose up
