Comparison
agentops vs agent-opt
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick agent-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
Markdown twin · agentops alternatives · agent-opt alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentops | agent-opt |
|---|---|---|
| Maintenance | Steady (49d since push) As of 1w · github_public_v1 | Steady (35d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- agent-opt
- Open Source Library for Automated Optimization of AI Agent Workflows
Stars
- agentops
- 5.8k
- agent-opt
- 71
Forks
- agentops
- 612
- agent-opt
- 7
Open issues
- agentops
- 176
- agent-opt
- 0
Language
- agentops
- Python
- agent-opt
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- agent-opt
- Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
Persona
- agentops
- -
- agent-opt
- -
Runtime
- agentops
- -
- agent-opt
- -
License
- agentops
- MIT
- agent-opt
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- agent-opt
- Jun 30, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- agent-opt
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- agentops
- 49d
- agent-opt
- 35d
Open issues (now)
- agentops
- 176
- agent-opt
- 0
Full report
- agentops
- Trust report
- agent-opt
- Trust report
Shared compatibility
- Python · agentops: Python runtime · agent-opt: Python runtime
Choose agentops if…
- License: agentops is MIT, agent-opt is Apache-2.0.
- Tags unique to agentops: benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
When NOT to use agentops
- 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
Choose agent-opt if…
- License: agent-opt is Apache-2.0, agentops is MIT.
- Tags unique to agent-opt: agent, aioptimization, automation, cicd.
- - When your project needs seamless CI/CD integration alongside automated optimization
When NOT to use agent-opt
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10
- - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Aug 14, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Aug 14, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (future-agi/agent-opt) · observed Aug 4, 2026
- GitHub forks (future-agi/agent-opt) · observed Aug 4, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · agent-opt 71 (synced Aug 14, 2026).
Common questions
- What is the difference between agentops and agent-opt?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over agent-opt?
- Choose agentops over agent-opt when License: agentops is MIT, agent-opt is Apache-2.0; Tags unique to agentops: benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose agent-opt over agentops?
- Choose agent-opt over agentops when License: agent-opt is Apache-2.0, agentops is MIT; Tags unique to agent-opt: agent, aioptimization, automation, cicd; - When your project needs seamless CI/CD integration alongside automated optimization.
- When should I avoid agentops?
- 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
- When should I avoid agent-opt?
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
- Is agentops or agent-opt more popular on GitHub?
- agentops has more GitHub stars (5,771 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and agent-opt open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, agent-opt: Apache-2.0).
- Where can I find alternatives to agentops or agent-opt?
- GraphCanon lists graph-backed alternatives at agentops alternatives and agent-opt alternatives (agentops markdown twin, agent-opt markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agentops or agent-opt?
- agentops: Steady. agent-opt: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agentops and agent-opt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; agent-opt trust report.