{"@context":"https://w3id.org/codemeta/3.0","@type":"SoftwareSourceCode","identifier":"pkg:npm/%40agentic-robotics/self-learning","name":"@agentic-robotics/self-learning","description":"AI-powered self-learning optimization system with swarm intelligence, PSO, NSGA-II, evolutionary algorithms for autonomous robotics, multi-agent systems, and continuous learning","version":"1.0.0","softwareVersion":"1.0.0","license":"https://spdx.org/licenses/MIT","codeRepository":"https://github.com/ruvnet/agentic-robotics","url":"https://ruv.io/agentic-robotics","keywords":["robotics","self-learning","optimization","swarm-intelligence","machine-learning","artificial-intelligence","particle-swarm-optimization","pso","nsga-ii","multi-objective-optimization","evolutionary-algorithms","genetic-algorithms","autonomous-systems","autonomous-robots","adaptive-learning","reinforcement-learning","multi-agent-systems","agentic-flow","openrouter","agentdb","memory-bank","continuous-learning","online-learning","meta-learning","transfer-learning","hyperparameter-optimization","automated-tuning","benchmark","performance-optimization","real-time-learning","navigation","path-planning","swarm-robotics","collective-intelligence","mcp","model-context-protocol","typescript","cli","nodejs","ai-agents","deepseek","gemini","claude","gpt-4","pareto-optimal","trade-off-analysis"],"maintainer":[{"@type":"Person","name":"ruvnet"}],"author":[{"@type":"Person","name":"ruvnet"}],"copyrightHolder":[{"@type":"Person","name":"ruvnet"}],"dateCreated":"2025-11-17","dateModified":"2025-11-17","datePublished":"2025-11-17","copyrightYear":2025,"downloadUrl":"https://registry.npmjs.org/@agentic-robotics/self-learning/-/self-learning-1.0.0.tgz","applicationCategory":"npm","runtimePlatform":"npm","sameAs":["https://www.npmjs.com/package/@agentic-robotics/self-learning"],"funder":[{"@type":"Organization","url":"https://github.com/sponsors/ruvnet"}]}