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agentops

AgentOps-AI/agentops

Python SDK for AI agent monitoring and LLM cost tracking

GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026

121views this month

5.8k stars612 forksLast push Jun 25, 2026 Python MIT

Decision brief

AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.

Good fit when

  • Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
  • Real-time session replays are required with minimal setup effort

Avoid when

  • If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
  • In case self-hosting of components is impractical due to resource constraints

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Steady (49d since push)
As of Aug 14, 2026
Provenance
Not a fork · Organization account
As of Aug 14, 2026
Security (OSV)
No lockfile
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install agentops
PyPI

How it fits your stack(2)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

AgentOps-AI/agentops is an open-source Python-based toolkit that supports monitoring artificial intelligence agents, benchmarking performance metrics, and managing costs associated with Large Language Model usage. Integrations include several prominent platforms such as Langchain, CrewAI, and OpenAI Agents SDK.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Aug 14, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 19, 2026)

```python import agentops
Source link

Tags

README

Quick Start ⌨️ Session replays in 2 lines of code Initialize the AgentOps client and automatically get analytics on all your LLM calls. Get an API key `` app/README.md`: Run the App and Backend (Dashboard + API) <details <summary Agent Debugging</summary <a href="https://app.agen...

For agents

This page has a .md twin and JSON over the API.

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