Comparison
agent-opt vs aideml
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 aideml if aIDE is an autonomous machine learning engineering agent designed to automate AI research and development tasks, enhancing code optimization through intelligent automation.
Markdown twin · agent-opt alternatives · aideml alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | agent-opt | aideml |
|---|---|---|
| Maintenance | Steady (35d since push) As of 3w · github_public_v1 | Active (18d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- aideml
- AI-Driven Exploration in the Space of Code
Stars
- agent-opt
- 71
- aideml
- 1.5k
Forks
- agent-opt
- 7
- aideml
- 212
Open issues
- agent-opt
- 0
- aideml
- 2
Language
- agent-opt
- Python
- aideml
- 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.
- aideml
- AIDE is an autonomous machine learning engineering agent designed to automate AI research and development tasks, enhancing code optimization through intelligent automation.
Persona
- agent-opt
- -
- aideml
- -
Runtime
- agent-opt
- -
- aideml
- -
License
- agent-opt
- Apache-2.0
- aideml
- MIT
Last pushed
- agent-opt
- Jun 30, 2026
- aideml
- Jul 15, 2026
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- aideml
- AI Agents, Model Training
Trust and health
Maintenance
- agent-opt
- Steady (60%)
- aideml
- Active (82%)
Days since push
- agent-opt
- 35d
- aideml
- 18d
Open issues (now)
- agent-opt
- 0
- aideml
- 2
OSV dependency advisories
- agent-opt
- No lockfile (source not queried)
- aideml
- Published findings
Full report
- agent-opt
- Trust report
- aideml
- Trust report
Shared compatibility
- Python · agent-opt: Python runtime · aideml: Python runtime
Choose agent-opt if…
- License: agent-opt is Apache-2.0, aideml is MIT.
- Tags unique to agent-opt: agent, aioptimization, automation, cicd.
- Also covers Evaluation & Observability.
- - 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 aideml if…
- License: aideml is MIT, agent-opt is Apache-2.0.
- Pricing: The tool is available for free under the MIT license. However, external services like the OpenAI API might incur costs based on their usage policies..
- Requirements: Min 4 GB RAM; Requires Docker; OpenAI API key is necessary for operation.; The tool supports setup through Docker or direct installation using pip for development use..
- Tags unique to aideml: automated-machine-learning, autonomous-agents, autoresearch, code-optimization.
- Also covers Model Training.
- aideml ships Docker support for self-hosted deployment.
- When you need sophisticated automation in the R&D phase of your AI projects, leveraging AI-driven exploration to refine code effectively.
When NOT to use aideml
- If you seek a tool that is extensively documented or has community support, as the repository might lack detailed instructions and user forums.
- For projects that require manual oversight at every stage of R&D; AIDE's strength lies in automating these processes, which may reduce human intervention more than desired.
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 (WecoAI/aideml) · observed Aug 3, 2026
- GitHub forks (WecoAI/aideml) · observed Aug 3, 2026
- Last push (WecoAI/aideml) · observed Jul 15, 2026
- License file (MIT) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-opt 71 · aideml 1.5k (synced Aug 4, 2026).
Common questions
- What is the difference between agent-opt and aideml?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. aideml: AI-Driven Exploration in the Space of Code. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-opt over aideml?
- Choose agent-opt over aideml when License: agent-opt is Apache-2.0, aideml is MIT; Tags unique to agent-opt: agent, aioptimization, automation, cicd; Also covers Evaluation & Observability; - When your project needs seamless CI/CD integration alongside automated optimization.
- When should I choose aideml over agent-opt?
- Choose aideml over agent-opt when License: aideml is MIT, agent-opt is Apache-2.0; Pricing: The tool is available for free under the MIT license. However, external services like the OpenAI API might incur costs based on their usage policies.; Requirements: Min 4 GB RAM; Requires Docker; OpenAI API key is necessary for operation.; The tool supports setup through Docker or direct installation using pip for development use.; Tags unique to aideml: automated-machine-learning, autonomous-agents, autoresearch, code-optimization; Also covers Model Training; aideml ships Docker support for self-hosted deployment; When you need sophisticated automation in the R&D phase of your AI projects, leveraging AI-driven exploration to refine code effectively.
- 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 aideml?
- If you seek a tool that is extensively documented or has community support, as the repository might lack detailed instructions and user forums. For projects that require manual oversight at every stage of R&D; AIDE's strength lies in automating these processes, which may reduce human intervention more than desired.
- Is agent-opt or aideml more popular on GitHub?
- aideml has more GitHub stars (1,460 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and aideml open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, aideml: MIT).
- Where can I find alternatives to agent-opt or aideml?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and aideml alternatives (agent-opt markdown twin, aideml 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 aideml?
- agent-opt: Steady. aideml: 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 aideml?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; aideml trust report.