First release candidate for 0.1.0. RLMesh connects models to environments across process,
dependency, and machine boundaries with a Gymnasium-style API.
Added
- Serve Gymnasium-style environments and drive them with
reset,step,render, andcloseover
local or remote gRPC transports. - DLPack-native
Tensortransport with zero-copy NumPy, Torch, and JAX backends (#3). - Run served environments locally or rebuild them identically in an isolated sandbox (
SandboxEnv)
(#8). - Evaluate models locally, against a remote server, or inside a sandbox (
Model,RemoteModel,
SandboxModel) (#11). - Tag-driven IO adapters that resolve environment tags against model specs at runtime (#9).
- Negotiated workflow editions content-pinned to the
2026.06edition spec (#2). - Per-lane
NEXT_STEPautoreset contract for vector environments (#7).
Changed
- Hardened the public Python API, space wrappers, and transport for the stable surface (#5).