Features
Recommends candidate improvements from recent research matched to codebase
Opens draft PRs with reasoning and diff on GitHub
Gates recommendations on fit, reachability, and license checks
Funnels candidates from 25 prompts down to 1 high-confidence PR
ExperimentOps dashboard for portfolio view and decision records
CLI tool (pip install remyxai) for local use
MCP server for Claude Code and other MCP clients
REST API access to the recommendation engine
Research Interests for daily paper digest
Integration with GitHub, Linear, MLflow, Weights & Biases, Slack
Community Discord support
Open-source repositories on GitHub
Server-side key handling via scoped GitHub App
Observe-only mode with human-gated merges
Solar-powered rover with controlled illumination
Per-plant high-resolution imaging across growing season
AI-powered pest, weed, and disease detection per plant
Real-time plant growth monitoring
Automated yield forecasting from imagery and environmental data
Crop phenotyping via computer vision (leaf size, biomass)
Quality inspection for fruits and vegetables
Food waste reduction analytics
Integration of satellite, weather, and soil data layers
Multi-angle image capture with controlled rolling speeds
Machine learning to identify plant-environment interaction patterns
Data collection in muddy fields and bright sunlight
Terabyte-scale image datasets per field
Controlled rolling speeds and sophisticated sensors
