Agenta is an open-source platform designed to help developers and teams manage, test, and evaluate prompts and LLM-based applications. Built with experimentation in mind, Agenta supports the full lifecycle of prompt engineering—from rapid testing and version control to A/B testing and human feedback evaluation. Unlike simple prompt generators, Agenta emphasizes iterative development, deployment-readiness, and collaborative workflows for applications powered by large language models (LLMs).

Agenta is aimed at AI developers, machine learning engineers, product teams, and researchers who want to systematically improve the performance of LLM-based tools. It integrates with various backends and supports both manual and automated evaluations of model responses, making it particularly suitable for teams working on complex or production-ready AI applications.

What are the main features of Agenta?

Prompt versioning and lifecycle management

Agenta enables structured tracking and comparison of prompt iterations.

• Create, edit, and manage different versions of a prompt in a centralized workspace.

• Track performance changes between versions using built-in metrics.

• Helps teams maintain consistency while experimenting with prompt design.

A/B testing for LLM outputs

Run controlled experiments to compare outputs across prompt variations.

• Easily deploy A/B tests with different prompt versions or model parameters.

• Visualize and compare responses side by side.

• Collect qualitative feedback or quantitative ratings to guide improvements.

Human and automatic evaluation tools

Assess model responses with hybrid evaluation options.

• Human-in-the-loop workflows for subjective assessments like tone, clarity, or relevance.

• Automated metrics for evaluating factual accuracy, coherence, and token usage.

• Supports flexible evaluation criteria depending on project needs.

Integration-ready for LLM apps

Agenta is designed to integrate with your application stack.

• REST API to connect with custom apps, frontends, or workflows.

• Works with popular LLM providers like OpenAI and Hugging Face.

• Can be used in staging or production environments for live evaluation.

Collaborative and open-source infrastructure

Built for teams who need transparency and flexibility.

• Multi-user support with shared projects and version history.

• Host on your own infrastructure or use managed deployment.

• Fully open-source, allowing code-level customization and community contributions.

Why choose Agenta?

• Built for experimentation: Enables structured testing, comparison, and evaluation of prompts.

• Designed for teams: Supports collaboration, version control, and shared evaluation.

• Flexible evaluation framework: Combine human and automated methods for performance tracking.

• Integration with real applications: Ready to connect with actual LLM-powered tools and workflows.

• Transparent and extensible: Open-source foundation supports customization and scaling.