S

Sacred

Open Source
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.

🎯 Use Cases

Tracking hyperparameters and model configurations across experiments Reproducing past experiments with exact settings and dependencies Comparing results from different experimental runs Logging metrics and artifacts for analysis and reporting

⚖️ Pros & Cons

✅ Pros

  • Lightweight and easy to integrate with existing ML workflows
  • Supports various backends for logging (e.g., MongoDB, filesystem)
  • Encourages reproducibility through detailed experiment tracking

❌ Cons

  • Requires manual setup for advanced logging and storage backends
  • Limited built-in visualization tools for experiment analysis
  • Primarily focused on experiment tracking rather than full lifecycle management

Overview

Sacred is a Python library designed to manage and track machine learning experiments, providing tools for configuration, logging, and reproducibility. It helps researchers organize experiment parameters, metrics, and artifacts in a structured way.

Problem It Solves

It solves the challenge of tracking and reproducing complex machine learning experiments by systematically logging configurations, dependencies, and results.

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

Sample System Prompt


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

            

Tools & Technologies

LLM APIs Python

Alternatives

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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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Sacred