Agentdb Learning
Skill Verified ActiveCreate and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
To empower developers to build and optimize self-learning AI agents by providing a robust toolkit for creating and training reinforcement learning plugins.
Features
- Create AI learning plugins with 9 RL algorithms
- Train models using CLI or API
- Supports Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more
- Includes WASM-accelerated inference for faster training
- Manages plugins with commands like list, info, and template listing
Use Cases
- Building self-learning agents
- Implementing reinforcement learning in AI
- Optimizing agent behavior through experience
- Learning from logged historical data (Decision Transformer)
Non-Goals
- Providing general AI agent orchestration beyond learning plugin development
- Replacing core AI development frameworks
- Handling real-time inference for deployed models (focus is on training)
Installation
npx skills add ruvnet/rufloRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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