openevolve
Open-source implementation of AlphaEvolve evolutionary computation framework
GraphCanon updated 1d · GitHub synced 1d
Decision brief
openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution.
Good fit when
- When focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment
- For projects needing advanced distributed evolutionary algorithms with open accessibility
Avoid when
- If project requires more specialized AI agents not covered by AlphaEvolve techniques
- For tasks that do not benefit from the specific type of iterative refinement and model training offered by this framework
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (37d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install openevolveSimilar 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 tool for developing and evolving algorithms using techniques similar to those used by DeepMind in their AlphaCode project, emphasizing distributed evolutionary algorithms
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 24, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 24, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 24, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 24, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 24, 2026)
npm install -g @anthropic-ai/claude-codeSource link
Tags
README
🚀 Quick Start
Get from zero to evolving code in 30 seconds:
---
# Install OpenEvolve
pip install openevolve
---
### Requirements
- **Python**: 3.10+
- **LLM Access**: Any OpenAI-compatible API, or [Claude Code CLI](https://docs.anthropic.com/en/docs/claude-code)
- **Optional**: Docker for containerized runs
---
### Installation Options
<details>
<summary><b>📦 PyPI (Recommended)</b></summary>
```bash
pip install openevolve
🔧 Development Install
git clone https://github.com/algorithmicsuperintelligence/openevolve.git
cd openevolve
pip install -e ".[dev]"
🐳 Docker
---
### Cost Estimation
**Cost depends on your LLM provider and iterations:**
- **o3**: ~$0.15-0.60 per iteration (depending on code size)
- **o3-mini**: ~$0.03-0.12 per iteration (more cost-effective)
- **Gemini-2.5-Pro**: ~$0.08-0.30 per iteration
- **Gemini-2.5-Flash**: ~$0.01-0.05 per iteration (fastest and cheapest)
- **Local models**: Nearly free after setup
- **OptiLLM**: Use cheaper models with test-time compute for better results
**Cost-saving tips:**
- Start with fewer iterations (100-200)
- Use o3-mini, Gemini-2.5-Flash or local models for exploration
- Use cascade evaluation to filter bad programs early
- Configure smaller population sizes initially
---
# Install and authenticate
npm install -g @anthropic-ai/claude-code
claude login
---
# Install visualization dependencies
pip install -r scripts/requirements.txt
For agents
This page has a .md twin and JSON over the API.