A JSON-based workflow language where AI agents define, compile, and execute reliable and consistent workflows.
Purpose-built for agents to author. An agent solves a task once, captures the logic as a validated workflow, and that workflow runs deterministically from that point forward with no re-prompting and no drift.
Tool calls, branching, and data flow execute with fixed logic. THat means no prompt drift and no hallucinated detours. LLM intelligence is scoped to the steps that need it, so the rest of your workflow behaves the same way every time.
Validate the control-flow, data-flow, and types before the workflow is ever deployed. Through careful static analysis, Remoraflow catches broken references, type mismatches, and unreachable steps at compile time, eliminating runtime surprises and wasted LLM calls.
Define approval policies that determine which tools can run, which inputs they can have, and whether they require a user to sign off. Workflows can also request explicit user input, delegating sensitive decisions to an authority rather than an LLM.
Compatible with Temporal, Inngest, and AWS Durable Execution out of the box. Workflows sleep or block on conditions for long periods without consuming serverless resources, and resume exactly where they left off.