AgentOps
AgentOps-AI/agentops
Agent monitoring and cost tracking for multi-step agents. GitHub: AgentOps-AI/agentops (~5.8k stars).
GitHub repository
Overview
AgentOps (AgentOps-AI/agentops) is listed in LimeDock Directories as an AI agent resource. Agent monitoring and cost tracking for multi-step agents. Group: memory-infra. Community size: ~5.8k GitHub stars. Repo (copy/paste): https://github.com/AgentOps-AI/agentops This page is a plain-English guide so searches for the GitHub project can land on how teams actually use it.
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Link
Installation guide
Open the GitHub repository, then follow the README for your stack.
Official GitHub repository: https://github.com/AgentOps-AI/agentops GitHub path: AgentOps-AI/agentops
How to open it: 1. Copy: https://github.com/AgentOps-AI/agentops 2. Clone or follow the README for your OS/stack. 3. Start with the smallest example before production use.
How to use it
**Simple example** Agent bills are rising and you can’t see which step costs money.
1. Install AgentOps SDK. 2. Wrap one agent run. 3. Review cost + failure dashboards weekly.
Example prompts
- “Instrument our CrewAI/AutoGen job with AgentOps.”
- “AgentOps vs Langfuse?”
- “Cost attribution by tool call.”
Use cases and examples
- Evaluate AgentOps-AI/agentops as an AI agent building block
- Pilot AgentOps on one staging workflow
- Compare against agents you already pay for
- Document a team playbook after the pilot
Prerequisites
- SDK install
- Agent entrypoints
Tips
- If you can’t meter it, you can’t manage it.
- Alert on cost spikes.