Optima-CityU / LLM4AD_Next
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
Why this job: works in the areas we cover, but does not say which job it does
What it does
- LLM-Powered Design & 🧬 Evolutionary Optimization combined to automatically evolve top-performing code.
- Interactive Configuration (llm4ad chat). Your conversational AI consultant that generates the entire runnable app framework.
- Evolve-Block Advisor & Recommender. Point LLM4AD_Next at any repository, and it will scan, score, and recommend exactly *which* blocks of code are most promising to evolve to hit your goals.
- AutoResearch. Run an AutoResearchClaw research workflow; choose llm4ad experiment mode to evolve algorithms and retain the original code when candidates do not improve their evaluation scores.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 719
- +22 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.1.0
- Released 44 days ago
- Built with
- Python
- 55% of the code
Is it looked after?
- Contributors
- 4
- Last 90 days
- Issues
- 50% closed
- 3 still open
- Pull requests
- 135 merged
- 3 waiting
- Releases
- 2
- 2 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 55%
- TypeScript 44%
- HTML 1%
- CSS <1%
Topics
- alpha-evolve
- alphacode
- openevolve
- openloop
- open-loop
- open-evolve
- deepmind
- discovery
- discovery-loop
- evolution-strategies
- evolutionary-algorithm
- evolutionary-computation
Project record
- JobOther AI tools
- StatusListed
- Commits458
- Forks47
- Watching2
- Stars in 28 days+103
- CreatedJun 9, 2026
- First seen by usNov 7, 2026
- CheckedNov 12, 2026