design
Run AI with Archipelago
Get AI agent evaluation for RL environments with archipelago, for founders using Python, now
247 stars56 forksPythonGuide quality 8/10Updated 8/28/2026100% free · open source
What it does
Archipelago allows you to evaluate and run AI agents against reinforcement learning environments, providing a harness for testing and comparing agent performance.
When to use it
- •When you need to compare the performance of different AI agents in the same environment
- •When you want to evaluate the effectiveness of an AI agent in a custom reinforcement learning environment
- •When you need to standardize the evaluation process for AI agents across multiple environments
Ready-to-paste prompt
python examples/cartpole.py -c config.json -e CartPole-v1 -a PPO
Heads up: Ensure you have the correct version of Python and the required dependencies installed, as specified in the `setup.py` file, to avoid compatibility issues
Saves to your device
Use with Claude
New
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
✅ Light setup
Installs with a command or two; your AI agent can do it for you.
Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/archipelago && curl -fsSL https://workflowstacks.com/api/skills/archipelago/claude-skill -o ~/.claude/skills/archipelago/SKILL.mdOpen in another AI app
Opens the app with this repo with the prompt ready to go — no copy-paste needed.
Use with Claude
New
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
✅ Light setup
Installs with a command or two; your AI agent can do it for you.
Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/archipelago && curl -fsSL https://workflowstacks.com/api/skills/archipelago/claude-skill -o ~/.claude/skills/archipelago/SKILL.mdOpen in another AI app
Opens the app with this repo with the prompt ready to go — no copy-paste needed.
Details
Creator
Mercor-Intelligence
Language
Python
Category
design
Published
1/20/2026
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