remyx-ai
Remyx is a decision-intelligence platform for teams shipping AI that ranks candidate improvements to code and agents, drafts gated PRs, validates changes against eval suites (offline and A/B), and learns from every result to prioritize the next best change.
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Quick Overview
Best for: Developer Tools
What it does
Developer Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
Developer Tools
Pricing snapshot
Free
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remyx-ai
Remyx is a decision layer designed for teams shipping AI: it surfaces, ranks, and validates candidate improvements (prompts, retrieval, routing, model changes, etc.) against a codebase, constraints, and historical results. The platform recommends the next highest-confidence change, can open draft PRs (Outrider) with the reasoning and diffs, runs evaluations (offline and A/B), and records outcomes so subsequent recommendations improve. Remyx targets engineering and product teams running AI in production and integrates with common developer and ML tooling.
Remyx AI: ExperimentOps platform for AI development, model building, and production.
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Claim this listing for $29Key Features
Automated recommendations
Ranks candidate improvements against your codebase, constraints, and past results and recommends the highest-confidence change or explains why to hold.
Outrider: draft PR generation
Opens real draft PRs on repositories with selection reasoning and diffs (examples shown for public repos).
Validation and evaluation integration
Runs your eval suite (offline and A/B), applies policy gates (pass/warn/fail), and supports promote/comment workflows; starts in observe-only by default.
End-to-end learning loop
Every evaluation, experiment, and production outcome becomes evidence so recommendations get sharper over time.
Integrations and stack compatibility
Works with GitHub, Linear, MLflow, W&B, Slack and others to record experiments and outcomes across planning, shipping, measuring, and build/run steps.
CLI, MCP server, and REST API
Provides remyxai-cli (pip-installable), MCP server for Claude Code and other clients, and REST API access to the engine.
Security and deployment options
Runs server-side through a scoped GitHub App with per-repo access, server-side key handling, human gates on merges, SSO & audit logs, and options for VPC or self-hosted deployment.
Pricing
Start for free — the site advertises 'Start for free' and notes early access with an initial group of teams (no detailed pricing tiers shown on the page).
Use Cases
AI engineer — Run better experiments
Automate prioritization of candidate changes and carry forward experiment evidence so engineers can evaluate ideas faster and focus on changes most likely to improve results.
Team lead — Make better decisions
Use a shared system of record for experiments and outcomes to prioritize work based on evidence rather than isolated findings, with visibility across experiments.
Organizations shipping AI — Close the loop
Systematically recommend, ship, measure, and decide on changes across the stack so organizational learning compounds over time.
Integrations
GitHub
Scoped per-repo GitHub App for opening draft PRs and running server-side operations.
Linear / Jira
Integrates with planning and tracking tools to record planned and shipped experiments.
MLflow
Records offline experiment results and measurements as part of the experiment record.
Weights & Biases (W&B)
Captures measurement and learning artifacts from experiments and runs.
Slack
Integrates for team notifications and collaboration about recommendations and results.
Claude Code, Modal, Hugging Face
Supports build/run providers (Claude Code is listed as available today; more providers planned).
Arize / Langfuse / Statsig / LaunchDarkly
Tools listed for measuring and learning from offline and online experiment outcomes and feature rollout systems.
Benefits
Limitations
Frequently Asked Questions
Claim this listing to publish FAQs.
Getting Started
- 1 Start for free via the remyx.ai site to create an account or access early access.
- 2 Install the CLI: pip install remyxai, or use provided MCP clients and the remyxai-cli.
- 3 Connect your repo via the scoped GitHub App (Outrider) and configure your eval suite and policy gates.
- 4 Run Outrider to surface recommendations and review draft PRs, then validate with offline/A-B evals and promote approved changes.
Support
docs
Docs, guides, concepts, and reference materials are linked from the site.
CLI
remyxai-cli available (pip install remyxai) for local or CI usage.
book a call
Site includes a 'Book a call' call-to-action for sales or onboarding discussions.
community / repos
Open-source repositories and community links (GitHub, Hugging Face, Substack, LinkedIn) are referenced on the site.
API
REST API access to the engine is mentioned; the site links to docs, guides, concepts, and reference material.
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