Drag AI agents from canvas to production
Build, orchestrate, and run AI agents and workflows on a visual canvas — backed by a parallel DAG engine, per-node cost attribution, real multi-tenancy, and API-first design. Not a toy: built for shipping from day one.
Free plan: 100 runs / month · no credit card required
Idea to live API, in three steps
- 01
Drag & compose
9 node types cover the mainstream orchestration scenarios: LLM, RAG, condition, loop, HTTP, template, subflow. The compiler validates every save — what you wire up is what runs.
- 02
Run with one click
Nodes in the same layer execute in parallel automatically. SSE streams every token live, with per-node status, retries, and built-in rate limiting.
- 03
Publish as an API
Expose any workflow as a REST / SSE endpoint with M2M auth. Tokens, cost, and latency are metered per workspace, automatically.
Others demo well. We ship reliably.
Plenty of tools can orchestrate an LLM call. Most treat multi-tenancy, observability, and the execution engine as afterthoughts. We treat them as the foundation.
A production-grade engine
Layered topological compilation, goroutine parallelism, a PostgreSQL-backed durable queue, and retries that never replay content your users have already seen.
First-class observability
Token, cost, and latency attributed to every node. OpenTelemetry and Prometheus built in; every run can be replayed.
Real multi-tenancy
PostgreSQL row-level security enforced at the database layer — not an application-side WHERE clause. Four RBAC roles and audit logs included.
Model-agnostic, API-first
Route by fast / balanced / quality aliases across Anthropic, OpenAI, and more, with automatic failover. OpenAPI 3.1 contract-driven throughout.
From free trial to private deployment
Your next production agent starts on a blank canvas
The Free plan includes 100 runs and 500K tokens per month — enough to ship a real workflow. No credit card required.