# shyamsaktawat/OpenAlpha_Evolve

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

Repository: https://github.com/shyamsaktawat/OpenAlpha_Evolve
Canonical: https://ross.abutalabs.com/products/openalpha_evolve
Language: Python
License: MIT
License Family: permissive
Topics: alphafold, evolutionary-algorithms, google, discovery, evolution-computing, evolutionary-algorithm, genetic-algorithm, iterative-methods, optimize, alphacode, coding-agent, distributed-evolutionary-algorithms, iterative-refinement, llm-engineering, llm-ensemble, llm-inference, openevolve
Last push: 2025-05-31T16:34:33+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 24, release rhythm 35, longevity 33
- inputs: {"age_days": 473, "days_push": 459, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1049, forks 154 (observed 2026-08-28T04:03:22.666937+00:00)

## What it is
OpenAlpha_Evolve is an open-source Python framework inspired by DeepMind's AlphaEvolve that uses LLMs to iteratively generate, test, and evolve algorithmic solutions. It employs a modular agent-based architecture with an evolutionary cycle of prompt design, code generation, evaluation, and mutation.

## Use cases
- evolve algorithms automatically with llms
- generate and refine code using genetic algorithms
- build autonomous coding agents
- experiment with llm-driven program synthesis
- optimize algorithms through iterative mutation
- research evolutionary code generation

## When to choose
- you want an open-source, extensible platform for evolutionary code generation research
- you need an accessible alternative to closed AlphaEvolve-style systems
- you want to explore LLM-driven autonomous problem solving with LiteLLM support

## When to avoid
- you need a production-ready, battle-tested code generation tool
- you want a simple one-shot code generator without evolutionary overhead
- you cannot afford LLM API costs for iterative candidate evaluation

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, machine-learning, prompt-engineering, testing
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: python, cross-platform
- tags: evolutionary-algorithms, genetic-algorithm, autonomous-coding-agents, code-generation, litellm, alphaevolve, iterative-refinement, ai-agents, algorithms

## Member repositories
- shyamsaktawat/OpenAlpha_Evolve (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.666937+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:00:33.310792+00:00, confidence not recorded.
  - readme: https://github.com/shyamsaktawat/OpenAlpha_Evolve (fetched 2026-08-28T04:03:22.666937+00:00, sha 75745f1e060f)
- Data as of 2026-08-30T08:39:29.467469+00:00.