AReaL: Simplify LLM Agent Apps
AReaL provides a flexible reinforcement learning bridge for large language model-based agents, allowing founders to build and train custom AI agents
- •When you need to integrate reinforcement learning with large language models for complex decision-making tasks
- •When you want to build custom AI agents that can learn from interactions and adapt to new situations
- •When you require a flexible and modular framework for building and training AI agents
python examples/train_llm_agent.py --env CartPole-v1 --model-size large --training-steps 10000
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/areal && curl -fsSL https://workflowstacks.com/api/skills/areal/claude-skill -o ~/.claude/skills/areal/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/areal && curl -fsSL https://workflowstacks.com/api/skills/areal/claude-skill -o ~/.claude/skills/areal/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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