Inspectable workflow orchestration with state machines
Open-source implementation work on Python statechart semantics, actors, clocks, and XState-compatible workflow definitions.
state = lights.initial_state
assert state.value == "green"
state = lights.transition(state, "TIMER")
assert state.value == "yellow"An excerpt of the documented traffic-light example: an explicit event changes the state. This is source evidence, not production adoption.
Read the complete exampleDurable AI and automation workflows need explicit state and actor boundaries when retries, time, human decisions, and partial failure matter.
Implemented, Contributed, Authored
Public source and technical writing expose the implementation surface and its current limitations.
Intervention
- Implemented statechart and actor behavior in Python
- Worked on clocks and XState-compatible workflow definitions
- Documented the shared workflow contract and current limitations
Inspectable artifacts
- Public source repository
- Tests
- Technical workflow-contract note
The public source and writing provide inspectable implementation evidence for an evolving workflow prototype.
Claim boundary
The repository is implementation evidence for an evolving prototype; it is not evidence of production adoption, durability, or operational outcomes.
Not publicly proven
- - There is no public evidence of production adoption or durable-execution guarantees.
- - Upstream acceptance and a stable public release remain unresolved.
Inspect the public artifacts
Last verified 2026-08-20