jecsand838 opened a new issue, #653:
URL: https://github.com/apache/burr/issues/653

   **Is your feature request related to a problem? Please describe.**
   
   I’d like to use Burr’s state-machine / action-graph approach in environments 
where Rust is the primary deployment/runtime (e.g., Rust microservices, 
single-binary distribution, memory-safety requirements, low-latency workloads, 
WASM targets, etc.).
   
   Currently this means either running Burr as a separate Python service, 
embedding Python, or re-implementing similar functionality ad-hoc, each of 
which adds operational complexity and makes it harder to standardize on Burr as 
a core orchestration primitive across a Rust-heavy stack.
   
   **Describe the solution you'd like**
   
   I’d like to propose (and happily help implement) an officially supported or 
officially endorsed Rust implementation of Burr with the goal of full 
functional parity with the existing Python implementation, including:
   
   * **Core runtime parity:** actions, transitions, state semantics, sync/async 
execution, parallelism features, hooks, typing system behavior, etc.
   * **Persistence & tracking parity:** same data model and on-disk formats 
where applicable, so recorded runs are comparable/portable.
   * **Telemetry/observability parity:** compatible tracing/metrics behavior 
(and the same conceptual execution events).
   * **Tracking server + UI parity:** ideally, the existing UI can be used 
unchanged by matching the server API contract.
   * **CLI parity:** equivalent commands/subcommands and behavior, or a clearly 
documented mapping.
   
   Proposed Implementation approach:
   
   * Define the spec as golden/characterization tests derived from the 
reference implementation (recorded runs + normalized outputs).
   * Develop the test suite with a complete Rust project skeleton first.
   * Develop subsystem-by-subsystem until all goldens pass and expanding 
coverage until parity is reached.
   
   Questions for maintainers:
   
   * Would this be welcome as an official multi-language implementation or 
preferred as a community project first?
   * If official, should it live in this repo (subdir/workspace) or in a 
separate repo?
   
   **Describe alternatives you've considered**
   
   * **Rust wrapper around Python Burr** (PyO3 / embedding Python) to reuse 
existing behavior but with Rust entry-points.
   * **Running Burr as a separate Python service** and integrating over 
HTTP/IPC from Rust (keeps Burr unchanged, but adds runtime/ops overhead).
   * **Partial Rust port** (core runtime only) while keeping the existing 
tracking server/UI and/or persistence layer in Python.
   * **Implementing only server/API compatibility** in Rust while leaving 
runtime execution to Python (or vice versa).
   * Using other Rust state-machine/workflow crates instead of Burr (but that 
forfeits Burr’s model, tooling, and existing ecosystem).


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