refinery

Open Source

Data Annotation and Synthesis Updated Feb 15, 2026

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Compared with 12 other Data Annotation and Synthesis agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed (open-source).

🎯 Use Cases

Annotating and labeling text data for NLP models Synthesizing training data for machine learning Cleaning and maintaining large NLP datasets Evaluating dataset quality and consistency Collaborative data annotation for team projects

⚖️ Pros & Cons

✅ Pros

Open-source and self-hostable, offering flexibility and control
Designed specifically for NLP data workflows
Supports scaling and maintaining large datasets

❌ Cons

Requires technical expertise to deploy and maintain
May lack some enterprise features compared to commercial alternatives
Limited to NLP use cases (not designed for other data types)

Overview

refinery is an open-source tool designed to help data scientists scale, assess, and maintain natural language datasets. It provides functionalities for data annotation, synthesis, and quality control, making it easier to manage large-scale NLP projects.

Problem It Solves

It solves the challenge of efficiently annotating and refining natural language data for machine learning models, reducing manual effort and improving dataset quality.

Target Audience: Developers and teams working with data annotation and synthesis 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 refinery, 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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