Comparison
agent-opt vs WeaveBench
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 WeaveBench if weaveBench is designed for evaluating computer-use agents that integrate both GUI and CLI interactions in real-world scenarios across various work domains.
Markdown twin · agent-opt alternatives · WeaveBench alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | agent-opt | WeaveBench |
|---|---|---|
| Maintenance | Steady (35d since push) As of 2w · github_public_v1 | Very active (6d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- WeaveBench
- A Long-Horizon Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces
Stars
- agent-opt
- 71
- WeaveBench
- 157
Forks
- agent-opt
- 7
- WeaveBench
- 1
Open issues
- agent-opt
- 0
- WeaveBench
- 4
Language
- agent-opt
- Python
- WeaveBench
- 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.
- WeaveBench
- WeaveBench is designed for evaluating computer-use agents that integrate both GUI and CLI interactions in real-world scenarios across various work domains.
Persona
- agent-opt
- -
- WeaveBench
- -
Runtime
- agent-opt
- -
- WeaveBench
- -
License
- agent-opt
- Apache-2.0
- WeaveBench
- MIT
Last pushed
- agent-opt
- Jun 30, 2026
- WeaveBench
- Jul 22, 2026
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- WeaveBench
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-opt
- Steady (60%)
- WeaveBench
- Very active (96%)
Days since push
- agent-opt
- 35d
- WeaveBench
- 6d
Open issues (now)
- agent-opt
- 0
- WeaveBench
- 4
OSV dependency advisories
- agent-opt
- No lockfile (source not queried)
- WeaveBench
- Published findings
Full report
- agent-opt
- Trust report
- WeaveBench
- Trust report
Choose agent-opt if…
- License: agent-opt is Apache-2.0, WeaveBench is MIT.
- Tags unique to agent-opt: agent, ai-agents, aioptimization, automation.
- - 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
Choose WeaveBench if…
- License: WeaveBench is MIT, agent-opt is Apache-2.0.
- Tags unique to WeaveBench: agent-as-judge, benchmark, computer-use-agent, gui-agent.
- Use WeaveBench if you need to assess agents capable of handling tasks that require intermingling graphical user interface operations with command-line or code-based actions.
When NOT to use WeaveBench
- Avoid WeaveBench if your testing needs do not involve scenarios that require the integration of both GUI and CLI operations.
- Do not use it when you are specifically interested only in benchmarking agents designed for single-channel tasks, either strictly CLI-based or purely graphical interface-driven.
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 (weavebench/WeaveBench) · observed Jul 29, 2026
- GitHub forks (weavebench/WeaveBench) · observed Jul 29, 2026
- Last push (weavebench/WeaveBench) · observed Jul 22, 2026
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 71 · WeaveBench 157 (synced Aug 4, 2026).
Common questions
- What is the difference between agent-opt and WeaveBench?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. WeaveBench: A Long-Horizon Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-opt over WeaveBench?
- Choose agent-opt over WeaveBench when License: agent-opt is Apache-2.0, WeaveBench is MIT; Tags unique to agent-opt: agent, ai-agents, aioptimization, automation; - When your project needs seamless CI/CD integration alongside automated optimization.
- When should I choose WeaveBench over agent-opt?
- Choose WeaveBench over agent-opt when License: WeaveBench is MIT, agent-opt is Apache-2.0; Tags unique to WeaveBench: agent-as-judge, benchmark, computer-use-agent, gui-agent; Use WeaveBench if you need to assess agents capable of handling tasks that require intermingling graphical user interface operations with command-line or code-based actions.
- 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 WeaveBench?
- Avoid WeaveBench if your testing needs do not involve scenarios that require the integration of both GUI and CLI operations. Do not use it when you are specifically interested only in benchmarking agents designed for single-channel tasks, either strictly CLI-based or purely graphical interface-driven.
- Is agent-opt or WeaveBench more popular on GitHub?
- WeaveBench has more GitHub stars (157 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and WeaveBench open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, WeaveBench: MIT).
- Where can I find alternatives to agent-opt or WeaveBench?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and WeaveBench alternatives (agent-opt markdown twin, WeaveBench 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 WeaveBench?
- agent-opt: Steady. WeaveBench: 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 WeaveBench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; WeaveBench trust report.