MLflow vs Re_gent: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for MLflow and Re_gent side by side. This page compares data; it is not a hands-on review.
On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
MLflow
Manage your ML lifecycle: track, register, and deploy models
Best for you if:
- • You want open source
Re_gent
Version control for AI coding agents, tracking activity, prompts, and changes locally.
Best for you if:
- • You want provides deep insights into AI agent decisions and changes
| At a Glance | MLflow | Re_gent |
|---|---|---|
Starts at | Free 100% free | Free 100% free |
Category | Analytics Developer Tools | Developer Tools Version Control |
Rating | 4.3/5 SourceForge 4.3 67 reviews | n/a |
Free plan | Yes | Yes |
Choose MLflow or Re_gent?
Choose MLflow if
- You want open source
- You want experiment tracking
- You work in analytics, not developer tools
Choose Re_gent if
- You want provides deep insights into AI agent decisions and changes
- You want offers robust control over AI-generated code
- You work in developer tools, not analytics
In-Depth Analysis
MLflow
Manage your ML lifecycle: track, register, and deploy models
MLflow's open-source offering is exceptionally generous, being completely free ($0) for self-hosting.
Strengths
- Pro: Open source
- Pro: Experiment tracking
- Pro: Model registry
- Pro: Deployment support
- Pro: Self-hostable
Weaknesses
- Con: UI basic
- Con: Scale limitations
- Con: Setup required
- Con: Databricks dependency growing
- Con: Less modern feel
Key features
Re_gent
Version control for AI coding agents, tracking activity, prompts, and changes locally.
Strengths
- Pro: Provides deep insights into AI agent decisions and changes
- Pro: Offers robust control over AI-generated code
- Pro: Maintains a complete audit trail even if AI tools compact history
- Pro: Facilitates parallel work with multiple AI agents without conflicts
- Pro: Free and open-source (Apache-2.0 License)
Weaknesses
- Con: Currently in public alpha, may have limited features or stability
- Con: Limited integration with AI tools currently, though more are planned
Key features
Plans and prices: MLflow vs Re_gent
| Tool | Plans and prices | Source |
|---|---|---|
| MLflow |
| mlflow.org read Sep 30, 2026 |
| Re_gent | No plan prices on file | re-gent.dev |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on MLflow pricing and Re_gent pricing.
Key Takeaways
MLflow
- Choose if you want manage your ML lifecycle: track, register, and deploy models
Re_gent
- Choose if you want version control for AI coding agents, tracking activity, prompts, and changes locally
What the data shows
On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
- Only MLflow has a published user rating (4.3/5 from 67 reviews); Re_gent has none we can show.
- Both have a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do MLflow and Re_gent compare in 2026?
On the data below the two are close or not directly comparable, so we do not name a winner for this pair. Only MLflow has a published user rating (4.3/5 from 67 reviews); Re_gent has none we can show. Both have a free plan.
What are MLflow and Re_gent used for?
MLflow: Manage your ML lifecycle: track, register, and deploy models. Re_gent: Version control for AI coding agents, tracking activity, prompts, and changes locally.
What does MLflow cost vs Re_gent?
MLflow is free. Re_gent is free. Prices read on the vendors' pricing pages, latest check Sep 30, 2026.
What's the main difference between MLflow and Re_gent?
MLflow's main strength: open source. Re_gent's main strength: provides deep insights into AI agent decisions and changes.