The sell is obvious: change prompts, swap models, and tweak workflows without redeploys — a real time-saver for iterating agent behavior. They include useful operational pieces like HTTP tool hooks and encrypted credential storage, but core items promised on the page (observability, version rollback, flexible model providers) are still 'coming soon', so it's useful now but not yet a complete operations stack.
AI/ML engineers, backend/platform developers, product teams and enterprises building and operating AI agent systems
TypeScript agent runtime with HITL and cost tracking, but crowded against Replicate, Modal, and LangGraph Cloud.
Uses Elixir OTP to orchestrate Python agents with 3.77 KB memory overhead.
AST operations beat fragile text patches for AI agent code edits.
Pydantic schema to production API with pause/resume and human approval in one docker compose.
Enterprise agent orchestration with governance, but YAML + policies aren't novel.
Agents manage their own context window through a transparent local proxy.
