Comparison
agent-opt vs AssetOpsBench
Verdict
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; pick AssetOpsBench if assetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT.
Markdown twin · agent-opt alternatives · AssetOpsBench alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | agent-opt | AssetOpsBench |
|---|---|---|
| Maintenance | Steady (35d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · 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
- agent-opt
- Open Source Library for Automated Optimization of AI Agent Workflows
- AssetOpsBench
- Framework for building and evaluating AI agents targeting Industry 4.0 asset operations
Stars
- agent-opt
- 71
- AssetOpsBench
- 2.1k
Forks
- agent-opt
- 7
- AssetOpsBench
- 294
Open issues
- agent-opt
- 0
- AssetOpsBench
- 45
Language
- agent-opt
- Python
- AssetOpsBench
- Python
Adopt for
- 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.
- AssetOpsBench
- AssetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management.
Persona
- agent-opt
- -
- AssetOpsBench
- -
Runtime
- agent-opt
- -
- AssetOpsBench
- -
License
- agent-opt
- Apache-2.0
- AssetOpsBench
- Apache-2.0
Last pushed
- agent-opt
- Jun 30, 2026
- AssetOpsBench
- Jul 26, 2026
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- AssetOpsBench
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-opt
- Steady (60%)
- AssetOpsBench
- Very active (96%)
Days since push
- agent-opt
- 35d
- AssetOpsBench
- 0d
Open issues (now)
- agent-opt
- 0
- AssetOpsBench
- 45
Full report
- agent-opt
- Trust report
- AssetOpsBench
- Trust report
Shared compatibility
- Python · agent-opt: Python runtime · AssetOpsBench: Python runtime
Choose agent-opt if…
- Tags unique to agent-opt: agent, ai-agents, aioptimization, automation.
- - When your project needs seamless CI/CD integration alongside automated optimization
- Leaner open-issue backlog (0).
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
Choose AssetOpsBench if…
- Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot.
- When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments
- More GitHub stars (2.1k vs 71) - visibility, not fit.
When NOT to use AssetOpsBench
- If your project focus is on general-purpose AI outside the domain-specific context of industrial operations
- Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (IBM/AssetOpsBench) · observed Jul 27, 2026
- GitHub forks (IBM/AssetOpsBench) · observed Jul 27, 2026
- Last push (IBM/AssetOpsBench) · observed Jul 26, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 71 · AssetOpsBench 2.1k (synced Aug 4, 2026).
Common questions
- What is the difference between agent-opt and AssetOpsBench?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. AssetOpsBench: Framework for building and evaluating AI agents targeting Industry 4.0 asset operations. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-opt over AssetOpsBench?
- Choose agent-opt over AssetOpsBench when Tags unique to agent-opt: agent, ai-agents, aioptimization, automation; - When your project needs seamless CI/CD integration alongside automated optimization; Leaner open-issue backlog (0).
- When should I choose AssetOpsBench over agent-opt?
- Choose AssetOpsBench over agent-opt when Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot; When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments; More GitHub stars (2.1k vs 71) - visibility, not fit.
- 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
- When should I avoid AssetOpsBench?
- If your project focus is on general-purpose AI outside the domain-specific context of industrial operations Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management
- Is agent-opt or AssetOpsBench more popular on GitHub?
- AssetOpsBench has more GitHub stars (2,069 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and AssetOpsBench open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, AssetOpsBench: Apache-2.0).
- Where can I find alternatives to agent-opt or AssetOpsBench?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and AssetOpsBench alternatives (agent-opt markdown twin, AssetOpsBench 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, agent-opt or AssetOpsBench?
- agent-opt: Steady. AssetOpsBench: Very active. 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 agent-opt and AssetOpsBench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; AssetOpsBench trust report.