agentops
Coding agents degrade silently without operational feedback loops — AgentOps adds memory, validation, and session telemetry that compound over time, turning …
The operational layer for coding agents. Memory, validation, and feedback loops that compound between sessions.
- Track agent performance metrics across coding sessions
- Validate agent outputs against expected patterns automatically
- Build persistent memory that improves agent quality over time
Coding agents degrade silently without operational feedback loops — AgentOps adds memory, validation, and session telemetry that compound over time, turning one-shot agents into systems that learn from every run.
Development teams running Claude Code or other coding agents in production who need observability, memory persistence, and quality feedback loops.
https://github.com/boshu2/agentops
By boshu2
How to Get It
claude plugins install boshu2/agentops
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me track agent performance metrics across coding sessions
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Show HN: Token price calculator for 400+ LLMs — Hacker News · 268 pts
- A Taxonomy of AgentOps — Hacker News · 67 pts
- Operating AI agents in production feels like flying blind — so I mapped the Agen — Reddit · 6 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 425 GitHub stars; 12 contributors; last commit 1d ago; license Apache-2.0.
Things to check
- Recently discovered. Looks promising but has limited community feedback so far. We added it early so you can evaluate it before the crowd finds it.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 425 GitHub stars; 12 contributors; last commit 1d ago; license Apache-2.0.