Show HN: Sgai – Goal-driven multi-agent software dev (GOAL.md → working code)
sandgardenhq Wednesday, February 25, 2026
Hey HN,
We built Sgai to experiment with a different model of AI-assisted development.
Instead of prompting step-by-step, you define an outcome in GOAL.md (what should be built, not how), and Sgai runs a coordinated set of AI agents to execute it.
- It decomposes the goal into a DAG of roles (developer → reviewer → safety analyst, etc.) - It asks clarifying questions when needed - It writes code, runs tests, and iterates - Completion gates (e.g. make test) determine when it's actually done
Everything runs locally in your repo. There’s a web dashboard showing real-time execution of the agent graph. Nothing auto-pushes to GitHub.
We’ve used it internally for prototyping small apps and internal tooling. It’s still early and rough in places, but functional enough to share.
Demo (4 min): https://youtu.be/NYmjhwLUg8Q GitHub: https://github.com/sandgardenhq/sgai
Open source (Go). Works with Anthropic, OpenAI, or local models via opencode.
Curious what people think about DAG-based multi-agent workflows for coding. Has anyone here experimented with similar approaches?