AI decision layer that recommends and validates code/research improvements as draft PRs for engineering teams shipping AI products.
What it does
Remyx AI is an ExperimentOps platform that scans recent AI research and a team's codebase to recommend the next highest-confidence improvement, opens it as a draft pull request, and tracks whether the change passes evaluation suites. It integrates with GitHub, Linear, MLflow, and Weights & Biases.
Core features
Outrider tool that opens draft PRs from recent research findings
Confidence scoring and license/fit gating before recommending changes
Eval-suite validation of proposed changes (Validate)
Decision records and experiment history dashboard
Integrations with GitHub, Linear, MLflow, W&B, and Slack
CLI and MCP server for use with coding agents like Claude Code
Best for
→AI engineering teams deciding which research ideas are worth implementing
→Teams wanting evidence-backed decisions instead of ad hoc experimentation
→Open-source maintainers tracking which PRs are validated by their own tests
→ML teams standardizing how experiment results feed future recommendations
→Organizations wanting an audit trail of AI product decisions
Pricing
Developer
$0/forever
Team
$40/seat
Toolspool rankingby monthly traffic