Agenta
LLMOps platform for prompt management, evaluation, and LLM observability
Overview
Agenta is an open-source LLMOps platform that provides collaborative prompt engineering, systematic LLM evaluation (including human and automated evaluators), and production observability with traces and metrics. Teams can version prompts, run A/B experiments, and monitor deployed LLM applications through a unified dashboard. It ships as a Docker Compose stack.
Where it falls short of OpenAI API
- Observability depth is shallower than dedicated tools like LangSmith or Arize for large-scale production
- No built-in model fine-tuning or training pipelines
- Evaluation framework requires custom code for complex domain-specific metrics
- Self-hosted deployment documentation is less polished than the cloud onboarding
We list the gaps honestly so you can decide if the trade-off is worth owning your data.
Tags
Claim this listing to keep it accurate, add a deploy template, or feature it on relevant pages.
Embed the Agenta difficulty badge in your README — it links back here.
[](https://openreplace.com/agenta)Similar open-source projects
Other self-hostable tools in the same space worth comparing.
Run large language models locally with a simple CLI and REST API
The most widely used web interface for running Stable Diffusion image generation locally
Open-source LLM app development platform with visual workflow, RAG, and agent builder
Feature-rich self-hosted chat UI for Ollama and OpenAI-compatible APIs