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@claude-flow/neural

Self-Optimizing Neural Architecture (SONA) for Claude Flow — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual lear

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ruvnet

Keywords

aiagentsai-agentsmulti-agentmulti-agent-systemsagenticagentic-aiagentic-systemsclaude-flowrufloclaudeclaude-codeanthropicneuralneural-networkneural-networkssonaself-optimizingself-improvingadaptive-learningcontinual-learninglifelong-learningonline-learningreinforcement-learningrldeep-rlppoproximal-policy-optimizationdqndeep-q-networka2cadvantage-actor-criticq-learningsarsadecision-transformercuriosity-drivenexplorationpolicy-gradientvalue-functionloralow-rank-adaptationewcelastic-weight-consolidationcatastrophic-forgettingflash-attentionfast-attentionmixture-of-expertsmoeexpert-routingtrajectorytrajectory-learningexperience-replaypattern-recognitionpattern-matchingpattern-extractionpattern-evolutionreasoningreasoning-bankreasoning-tracesself-consistencyensembleembeddingsvector-embeddingsvector-searchhnswsemantic-searchcosine-similarityagentdbmemoryknowledge-distillationmodel-compressionquantizationfine-tuningtransfer-learningmeta-learningmcpmodel-context-protocolllmllm-agentsagent-orchestrationagent-coordinationmlmachine-learningtypescriptesmwasmopen-source

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