3 ms·
Restack – AI agent platform separating product iteration from infrastructure
- andreas_mauer 1y agoThe core problem: AI agents require measuring and iterating on subjective behavior - tone, decision-making, context usage. From experience, the best setup is when product managers take care of improving agent behavior, while engineers build workflows and infrastructure. Restack's approach: - Engineers build workflows in Python. Temporal and Kubernetes handle reliability and scalability. - Product teams and domain experts A/B test and version control prompts and context management, without engineering required for behavioral iteration. Technical stack (open source): - React for frontend - Temporal for retries and long-running workflows - Kubernetes with horizontal pod autoscaler for agent scaling - Context store built on Clickhouse - Full observability and agent tracing - MCP-compatible workflows