Provides personalized running advice by analyzing Strava data with an LLM agent.
Sponsored
An AI-powered running coach that connects to your Strava account to offer data-driven training advice. It leverages large language models, specifically Claude, to analyze your actual training history, identify potential injury risk patterns, and suggest specific workouts with targets. The coach remembers your goals and preferences, persisting conversation history and athlete memory in PostgreSQL, and is accessible via a Telegram bot or command-line interface.
Key Features
01Analyzes actual Strava training history for personalized advice
02Flags injury risk patterns based on training data
03Suggests specific workouts with detailed targets
04Remembers facts about the user across conversations (goals, injury history, preferences)
05Persists conversation history and memory in PostgreSQL
060 GitHub stars
Use Cases
01Automating running coaching interactions through a chat bot or CLI
02Receiving personalized running training plans and advice
03Identifying and mitigating potential injury risks in training
