Open-source platform for prompt playgrounds, evaluation and tracing
Agenta is an open-source platform for the parts of LLM development that usually get improvised: prompt editing, evaluation and tracing. You define a prompt or a chain in the browser playground, test it against a set of inputs, compare variants on the same data, and then expose the chosen version through an API. Because it self-hosts, prompts and evaluation datasets stay inside your own infrastructure, and teams that need to keep customer text away from third parties can still get a usable workflow. It is aimed at engineers who want structure around experiments without adopting a fully managed vendor.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
llm teams, prompt experimentation, self-hosted evaluation and internal tooling
If you're comparing similar products, check the alternatives below, or browse all tools in the AI Prompt Tools category.
You can, and many teams do because it keeps prompts and test data in their own environment. A managed cloud option exists for teams that would rather not run the infrastructure.
You build a dataset of inputs, run several prompt or chain variants across it, and compare the outputs side by side. Scoring can be manual or automated depending on what you are checking.
No. It also traces requests through an application and supports chained variants, so it covers the pipeline around the prompt rather than a single text box.
Community library of shared prompts with a chat interface to run them
Open-source tracing, evaluation and prompt management for LLM applications
Free educational resource teaching prompt engineering from basics to research topics
Searchable gallery of AI image prompts shown alongside the images they made