FusionBrainLab / gigaevo-core
Evolutionary algorithm that uses Large Language Models (LLMs) to automatically improve programs through iterative mutation and selection
Why this job: works in the areas we cover, but does not say which job it does
What it does
Evolutionary algorithm framework that uses Large Language Models to automatically improve programs through iterative mutation and selection (MAP-Elites). Programs are Python functions; fitness is task performance. The framework is task-agnostic and supports single runs, multi-island evolution, and prompt co-evolution.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 127
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 2 months ago
- Built with
- Python
- 98% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 2 waiting
- Releases
- 1
- 1 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 98%
- JavaScript 1%
- Jupyter Notebook <1%
- TeX <1%
Topics
- evolution
- language-model
- llm
Project record
- JobOther AI tools
- StatusListed
- Commits1,876
- Forks28
- Watching2
- Stars in 28 days0
- CreatedNov 17, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026