Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/algorithmicsuperintelligence/openevolve/claude-mdgit clone --depth 1 https://github.com/algorithmicsuperintelligence/openevolveWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00880 | $0.00880 |
| Opus 5 | $0.00440 | $0.00440 |
| Sonnet 5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
openevolve CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Overview
OpenEvolve is an open-source implementation of Google DeepMind's AlphaEvolve system - an evolutionary coding agent that uses LLMs to optimize code through iterative evolution. The framework can evolve code in multiple languages (Python, R, Rust, etc.) for tasks like scientific computing, optimization, and algorithm discovery.
Essential Commands
Development Setup
# Install in development mode with all dependencies
pip install -e ".[dev]"
# Or use Makefile
make install
Running Tests
# Run all tests
python -m unittest discover tests
# Or use Makefile
make test
Code Formatting
# Format with Black
python -m black openevolve examples tests scripts
# Or use Makefile
make lint
Running OpenEvolve
# Basic evolution run
python openevolve-run.py path/to/initial_program.py path/to/evaluator.py --config path/to/config.yaml --iterations 1000
# Resume from checkpoint
python openevolve-run.py path/to/initial_program.py path/to/evaluator.py \
--config path/to/config.yaml \
--checkpoint path/to/checkpoint_directory \
--iterations 50
Visualization
# View evolution tree
python scripts/visualizer.py --path examples/function_minimization/openevolve_output/checkpoints/checkpoint_100/
High-Level Architecture
Core Components
-
Controller (
openevolve/controller.py): Main orchestrator that manages the evolution process using ProcessPoolExecutor for parallel iteration execution. -
Database (
openevolve/database.py): Implements MAP-Elites algorithm with island-based evolution:- Programs mapped to multi-dimensional feature grid
- Multiple isolated populations (islands) evolve independently
- Periodic migration between islands prevents convergence
- Tracks absolute best program separately
-
Evaluator (
openevolve/evaluator.py): Cascade evaluation pattern:- Stage 1: Quick validation
- Stage 2: Basic performance testing
- Stage 3: Comprehensive evaluation
- Programs must pass thresholds at each stage
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 118 lines · 880 tokens per session scan A 958d391a3f40
openevolve CLAUDE.md is an instructions file published in the GitHub repository algorithmicsuperintelligence/openevolve (7,290 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 880 tokens to every session, about $0.0044 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
seektty AGENTS.md
Instructions for Hilbert-beinghappy/seektty: This repository ships one out-of-tree DeepSeek Harness Bundle. Harness remains the only owner of Agent, Session, model, settings, permissions, Profile, plugin, and persistence state.
amp-acp AGENTS.md
Instructions for tao12345666333/amp-acp, covering agents.md, commands, architecture and code style.
roamcode AGENTS.md
Instructions for burakgon/roamcode, covering repository instructions for coding agents, public-repository safety, stable release and ota contract, releasing a stable version and ota changes.
dev-workspace AGENTS.md
Instructions for iwe-org/dev-workspace, covering agent operating manual, start of every session, the operating loop, conventions and iwe basics.
ob-1 AGENTS.md
Instructions for Overbrilliant/ob-1, covering agents.md, project index, stack, commands and key files.
kumo-coding-agent AGENTS.md
Instructions for kumo-ai/kumo-coding-agent: All instructions, routing tables, and rules are in CLAUDE.md. Read that file as the entry point for this agent.