CEO Fired Developers for AI. So They Built an Open-Source AI CEO

Description and use

Developers fired for AI built OpenExecutive, an open‑source AI system that emulates a virtual CEO with eight specialist agents, showcasing advanced multi‑agent orchestration and gaining community traction.

Problem

A CEO fired the engineering team to replace them with AI, leaving developers without work. They needed a way to continue contributing and demonstrate the value of AI in executive roles.

Outcome

OpenExecutive demonstrates that a multi‑agent AI system can emulate executive functions, achieving significant community traction and highlighting the maturity of open‑source AI tooling.

Workflow

• 1. Identify executive functions to emulate (strategy, finance, HR, legal, ops, marketing, product, board comms).
• 2. Design eight specialist agents, each with a domain, model tier, and domain-filtered RAG.
• 3. Implement an Executive orchestrator that routes queries to relevant specialists in parallel using asyncio.gather.
• 4. Build two-layer RAG: Layer 1 with built-in MBA knowledge in ChromaDB; Layer 2 with company-specific docs.
• 5. Integrate Anthropic tool use and prompt caching (three cache blocks with 1h TTL).
• 6. Add episodic memory via SQLite to store past decisions.
• 7. Deploy with FastAPI and Python, expose a single API endpoint.
• 8. Run the system, monitor API costs, and iterate on caching and RAG.
• 9. Share the repo on GitHub and promote via Hacker News.

Evidence

OpenExecutive is an AI system that acts as a virtual executive team — backed by eight specialist agents

Source

The system uses Anthropic tool use to call specialists in parallel via asyncio.gather

Source

The HN thread had 687 comments and hit #1 with 996 points

Source

The repo has 2,100+ GitHub stars and is Apache 2.0 licensed

Source