AgentOps
AgentOps aims to improve AI agent development with tools for observability, evaluations, and replay analytics, offering a streamlined process for testing and debugging compliant AI agents through a user-friendly interface and comprehensive documentation
Where it fits
AgentOps is listed in Evaluation Frameworks. Use its original project documentation to confirm the features and setup for your intended workflow.
Find tools for evaluating agent outputs and workflows. Start with representative tasks and a written success definition so a score corresponds to a result your users actually need.
Before you choose
Use these category-level questions when reviewing this resource. They do not assert that this project supports a particular feature.
- Does the test set reflect real user tasks?
- Is task completion measured separately from answer style?
- Can the same examples be replayed after a change?
Sources & project links
About this listing
Imported directory snapshot · 2026-10-26. The description and classification come from the earlier directory, adapted from awesome-ai-agents; current project behavior has not been independently tested.
Pricing, licensing, supported models and hosting requirements may change. Check the original project before installing or paying. Inclusion is not an endorsement or a performance rating.
Historical repository popularity
The old directory displayed 5.9k GitHub stars. Its original observation date is unknown. This is retained as historical context, not a live count or quality score.