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.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions
Details
Creator
Mercor-Intelligence
Language
Python
Category
design
Published
1/20/2026

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.