OpenExecutive launches as self-hostable AI executive team

Open-Source Executive Agent System Now Available

Sente Labs has launched OpenExecutive, an open-source multi-agent AI system designed to function as a virtual executive team. The platform is released under the Apache 2.0 license and is available for self-hosting, allowing organizations to deploy the system on their own infrastructure without reliance on external cloud services.

The system orchestrates eight specialist agents coordinated through a single executive persona. These specialist roles span strategy, finance, people, legal, operations, marketing, product, and board communications—covering the functional areas typically found in C-suite and executive operations. The architecture uses a coordinator pattern where the executive persona acts as the decision-making hub, routing tasks to and synthesizing outputs from specialized agents.

Architecture and Technical Approach

Dan Kornas, associated with the project, has publicly described OpenExecutive as an open-source, multi-agent executive assistant with eight specialist roles. The project is maintained under the SenteLabsAI GitHub organization, making the full codebase and architecture transparent to developers and users.

The release represents a shift toward decentralized, self-hosted agent orchestration rather than API-dependent systems. By publishing under Apache 2.0—a permissive open-source license—OpenExecutive allows commercial and non-commercial users to fork, modify, and deploy the system without licensing restrictions. This approach positions the platform as infrastructure for organizations seeking to run autonomous agent teams locally.

Developer-Focused Release Strategy

The project's GitHub releases and commit history show iterative development and refinement of the multi-agent coordination layer. Organizations adopting OpenExecutive can integrate it with their own AI models, data sources, and decision-making workflows. The modular design of specialist agents means teams can enable or disable functional roles depending on operational needs.

For developers building agent applications, OpenExecutive serves as both a working example of multi-agent orchestration and a reusable framework. The open-source release removes barriers to experimentation and lowers the cost of entry for teams exploring executive-level agent automation without vendor lock-in.

The launch occurs amid broader movement toward self-hosted and open-source agent infrastructure, as enterprises increasingly seek alternatives to closed-platform solutions and look to customize agent behavior for domain-specific workflows.