Durable workflows — and durable AI agents — on Supabase alone
📰 Dev.to AI
Learn to build durable workflows and AI agents using Supabase alone, eliminating the need for additional infrastructure
Action Steps
- Apply the Resonate Server SQL file to your Supabase project to enable durable execution
- Configure pg_cron on your Postgres database to schedule and run workflows
- Build a durable workflow using the resonate-pg implementation
- Test and deploy your workflow on Supabase
- Integrate AI agents with your durable workflow to create a robust and scalable system
Who Needs to Know This
Developers and DevOps teams can benefit from this approach to simplify their workflow management and AI agent deployment, reducing the complexity of their infrastructure
Key Insight
💡 You can create durable workflows and AI agents on Supabase alone, without needing additional infrastructure, by leveraging the resonate-pg implementation
Share This
🚀 Simplify your workflow management and AI agent deployment with Supabase and resonate-pg! 🤖
Key Takeaways
Learn to build durable workflows and AI agents using Supabase alone, eliminating the need for additional infrastructure
Full Article
Durable execution usually means new infrastructure: an orchestrator to run, a queue to feed it, a scheduler to wake things up. resonate-pg collapses all of that into the database you already have. It is the Resonate Server implemented as one SQL file — 1,351 lines of PL/pgSQL — and any Postgres 16+ with pg_cron becomes a durable execution engine when you apply it. On Supabase, that has a striking consequence. A stock project already has everything the system needs: <stron
DeepCamp AI