lakeFS

Open Source

Model Data and Experiment Management Updated Feb 15, 2026

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Compared with 11 other Model Data and Experiment Management agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed (community edition is free; enterprise features may require contact for pricing).

🎯 Use Cases

Rolling back accidental data deletions or corruptions Testing ML model pipelines on isolated branches of data Reproducing past experiments with exact dataset versions Collaborative data lake development without conflicts

⚖️ Pros & Cons

✅ Pros

Git-like operations for data lakes (commit, branch, merge)
Works with existing object storage (no vendor lock-in)
Atomic changes prevent partial updates or corruption

❌ Cons

Requires integration with existing storage systems
Overhead for small-scale datasets may not be justified
Learning curve for teams unfamiliar with version control concepts

Overview

lakeFS provides version control for data lakes, enabling atomic commits, branching, and rollback capabilities on top of object storage like S3. It treats data like code, allowing teams to manage changes reproducibly and collaborate without corrupting datasets.

Problem It Solves

Prevents data corruption and inconsistencies in data lakes by introducing Git-like versioning, making it safe to experiment with or modify large datasets.

Target Audience: Developers and teams working with model data and experiment management automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are lakeFS, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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