OpenAlpha_Evolve
Framework for autonomous coding agents using evolutionary algorithms
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Autonomous coding agents evolve via advanced algorithms.
Good fit when
- Integration of iterative refinement into code generation processes
- Research involving autonomous software development experiments
Avoid when
- When needing immediate, human-tuned feedback for code improvements
- For projects preferring deterministic outcomes over evolved solutions
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (476d since push)
- As of Sep 19, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 19, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install OpenAlpha_EvolveSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based framework inspired by DeepMind's AlphaEvolve, aimed at developing autonomous code-generating agents using advanced evolutionary algorithms
Capability facts
- Languages
- python
Source: github.language · Sep 19, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
🏁 Getting Started 1. Prerequisites : Python 3.10+ for package management for cloning Docker : For sandboxed code evaluation. Ensure Docker Desktop (Windows/Mac) or Docker Engine (Linux) is installed and running. Visit docker.com for installation instructions. 2. Clone the Reposi...
For agents
This page has a .md twin and JSON over the API.