{"data":{"slug":"algorithmicsuperintelligence-openevolve","name":"openevolve","tagline":"Open-source implementation of AlphaEvolve evolutionary computation 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implementation of AlphaEvolve","homepage_url":null,"license":"Apache-2.0","open_issues":116,"watchers":57,"ai_summary":"A tool for developing and evolving algorithms using techniques similar to those used by DeepMind in their AlphaCode project, emphasizing distributed evolutionary algorithms","readme_excerpt":"## 🚀 Quick Start\n\nGet from zero to evolving code in **30 seconds**:\n\n```bash\n\n---\n\n# Install OpenEvolve\npip install openevolve\n\n---\n\n### Requirements\n- **Python**: 3.10+ \n- **LLM Access**: Any OpenAI-compatible API, or [Claude Code CLI](https://docs.anthropic.com/en/docs/claude-code)\n- **Optional**: Docker for containerized runs\n\n---\n\n### Installation Options\n\n<details>\n<summary><b>📦 PyPI (Recommended)</b></summary>\n\n```bash\npip install openevolve\n```\n\n</details>\n\n<details>\n<summary><b>🔧 Development Install</b></summary>\n\n```bash\ngit clone https://github.com/algorithmicsuperintelligence/openevolve.git\ncd openevolve\npip install -e \".[dev]\"\n```\n\n</details>\n\n<details>\n<summary><b>🐳 Docker</b></summary>\n\n```bash\n\n---\n\n### Cost Estimation\n\n**Cost depends on your LLM provider and iterations:**\n\n- **o3**: ~$0.15-0.60 per iteration (depending on code size)\n- **o3-mini**: ~$0.03-0.12 per iteration (more cost-effective)\n- **Gemini-2.5-Pro**: ~$0.08-0.30 per iteration\n- **Gemini-2.5-Flash**: ~$0.01-0.05 per iteration (fastest and cheapest)\n- **Local models**: Nearly free after setup\n- **OptiLLM**: Use cheaper models with test-time compute for better results\n\n**Cost-saving tips:**\n- Start with fewer iterations (100-200)\n- Use o3-mini, Gemini-2.5-Flash or local models for exploration\n- Use cascade evaluation to filter bad programs early\n- Configure smaller population sizes initially\n\n---\n\n# Install and authenticate\nnpm install -g @anthropic-ai/claude-code\nclaude login\n```\n\n```yaml\n\n---\n\n# Install visualization dependencies\npip install -r scripts/requirements.txt","github_created_at":"2025-05-15T11:46:52+00:00","created_at":"2026-07-11T11:42:27.920124+00:00","updated_at":"2026-08-24T18:00:50.1458+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"model-training","name":"Model 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focusing on replicating or enhancing features of DeepMind's AlphaEvolve in a Python environment","For projects needing advanced distributed evolutionary algorithms with open accessibility"],"when_not_to_use":["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"],"source":"enrich:decision_facts","observed_at":"2026-07-16T20:58:29.866Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"openevolve: Open-source evolutionary computation framework inspired by DeepMind's AlphaCode for distributed algorithm evolution."}]}}