Build reliable LLM apps together with integrated prompt management, evaluation, and observability.
Data updated Jul 1, 2026 · next refresh within 24h · Traffic data: SimilarWeb (estimated)
Agenta is an open-source LLMOps platform that helps AI engineers and subject matter experts build reliable AI applications.
Agenta is an AI tool tracked by Relve in the AI SEO Tools category. It uses a Freemium pricing model and runs on the web at agenta.ai.
The Relve catalog tracks 400+ live tools in AI Operations Tools. Agenta is part of the editorial tracking surface, with a Domain Rating of 42 on Ahrefs' authority scale.
Closest alternatives: Activepieces, Adaptor Die, Adept, Adereso, AG11 Lab. Compare Agenta head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.
Best for: teams looking for ai seo tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Agenta on a rolling 24-hour cycle (last updated Jul 1, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.
Centralize prompts, evaluations, and traces
Agenta allows teams to keep all their prompts, evaluations, and traces in one platform, eliminating scattered workflows. This centralization enhances collaboration among team members and ensures that everyone has access to the same information.
Unified playground for prompt testing
The unified playground enables teams to compare prompts and models side-by-side, facilitating experimentation. Users can load traces and test sets, making it easier to identify which prompts perform best under various conditions.
Version prompts and track changes
Agenta allows developers to version prompts and keep track of changes over time. This feature ensures that teams can revert to previous versions if needed and maintain a clear history of prompt modifications.
Automated evaluation with LLMs
Agenta provides a systematic process for automated evaluation using LLMs at scale before production. This feature helps teams validate changes and ensure that new prompts improve performance without breaking existing functionality.
Human annotation for feedback
Subject matter experts can review results and provide feedback through human annotation. This integration of expert insights into the evaluation workflow enhances the quality of the AI outputs and ensures alignment with user expectations.
Online evaluation for production applications
Agenta supports online evaluation for applications already in production, allowing teams to monitor performance in real-time. This feature helps identify issues quickly and ensures that the application continues to meet user needs.
Trace every request
Agenta enables teams to trace every request made to their AI systems, helping to pinpoint exact failure points. This feature is crucial for debugging and understanding the behavior of the application in production.
Annotate traces with team feedback
Users can annotate traces with feedback from their team or gather insights from end-users. This collaborative approach to feedback helps improve the system's performance and user satisfaction.
Monitoring performance and detecting regressions
Agenta provides tools for monitoring the performance of AI systems and detecting regressions through live evaluations. This proactive approach ensures that any decline in performance is addressed promptly.
A UI for domain experts
Agenta offers a user interface that allows domain experts to safely edit and experiment with prompts without needing to touch the code. This feature empowers non-developers to contribute to the development process effectively.
Full API and UI parity
Agenta ensures that both programmatic and UI workflows are integrated into one central hub. This feature allows teams to work seamlessly across different interfaces, enhancing collaboration and efficiency.
Hobby
Pro
Business
Enterprise
Native integrations· 5
API access· 3
Prompt Engineering and Management
For: AI Engineer
Evaluation
For: AI Engineer
Observability
For: AI Engineer
Collaboration between Developers and Product Teams
For: Product Manager
Integration with Any LLM App Workflow
For: AI Engineer
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Traffic data: SimilarWeb (estimated) · updated Jul 1, 2026
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