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CEO fired developers to make room for AI. Developers create open source AI CEO
- Authors
- Name
- DeepHorus
The developer community has launched Open Executive, an open-source AI platform that replicates the functions of an entire corporate leadership team. This initiative serves as a direct response to corporate leaders who have replaced human workers with AI systems. The platform offers startups access to the strategic advisory typically reserved for large corporations.
Open Executive operates through a system of eight specialized AI agents, each modeled after a C-suite role like Chief Strategy Officer and Chief Financial Officer. These agents collaborate to provide a unified executive voice for business guidance. The platform was developed by sentelabs.ai and is designed to simulate a senior advisor with MBA-level knowledge.
The system uses a dual-layered knowledge approach combining built-in business curriculum with a company's proprietary documents. It features episodic memory that retains past decisions and a scheduler for proactive follow-ups. This allows the AI to maintain context across multiple sessions and manage ongoing initiatives.
By making this technology freely available, the creators aim to democratize executive-level strategic planning. Small businesses and early-stage startups can now access sophisticated financial modeling, market analysis, and operational scaling advice. This significantly lowers the barrier to entry for leveraging high-quality business intelligence.
The project emerged as a philosophical counterpoint to recent industry trends where executives have laid off development teams to deploy AI. Its creators positioned it as a demonstration of AI augmenting rather than replacing human roles. This move challenges the narrative that AI deployment must come at the expense of human employment.
The platform is built on a modern stack including Next.js 15 and FastAPI, with integrations for communication tools like Slack and Discord. Its architecture is designed for single-instance deployment to manage its scheduler effectively. The release of its full codebase invites further development and customization by the community.
