v 0.1.0
Resilio v0.1.0 - First public release
This is the first release of Resilio, an AI-powered adaptive running coach for multi-sport athletes, built for local use in Claude Code/Codex workflows.
Highlights
- Local-first coaching workflow with YAML/JSON persistence
- Strava authentication and smart activity sync (including incremental sync behavior)
- Athlete profile and goal management
- Daily and weekly coaching outputs (
today,week,status) - Training load and readiness metrics (CTL/ATL/TSB, ACWR, readiness)
- VDOT tools for pace calculation and race prediction
- Planning toolkit for macro and weekly plans, plus approval flows
- Guardrails and risk checks for safer progression and recovery
- Memory and activity search features to preserve athlete context
- Weather context support for weekly planning
Package details
- Package:
resilio - Version:
0.1.0 - Python:
>=3.11,<4.0 - License: MIT
Notes
- This is an early foundational release; interfaces and workflows may evolve in upcoming versions.
- Current methodology depth is strongest for running, with multi-sport load awareness integrated.