All @claude-flow/neural versions
@claude-flow/neural @3.0.0-alpha.9
MIT
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2
Dependencies
0
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158.6 KB
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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
Maintainers
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
Dependencies (2)
| Package | Constraint | Registry Status |
|---|---|---|
| @ruvector/sona | 0.1.5 | auto_approved |
| @claude-flow/memory | ^3.0.0-alpha.16 | No greenflagged match |
Transitive Dependency Tree
2 transitive deps
max depth 1
├─
@claude-flow/memory
^3.0.0-alpha.16
├─
@ruvector/sona
0.1.5
→ 0.1.5
Commit: ca0a6fa5cb16 Browse source
Published to npm: