{"_id":"@claude-flow/neural","_rev":"11-77a83c764c36ac36cd0312d5cc715799","name":"@claude-flow/neural","dist-tags":{"v3alpha":"3.0.0-alpha.9","alpha":"3.0.0-alpha.9","latest":"3.0.0-alpha.9"},"versions":{"3.0.0-alpha.1":{"name":"@claude-flow/neural","version":"3.0.0-alpha.1","_id":"@claude-flow/neural@3.0.0-alpha.1","maintainers":[{"name":"ruvnet","email":"ruv@ruv.net"}],"dist":{"shasum":"472e808119a15edccb9a2ab9597651fc8430ceeb","tarball":"https://registry.npmjs.org/@claude-flow/neural/-/neural-3.0.0-alpha.1.tgz","fileCount":223,"integrity":"sha512-Qco1DeXa+2FGFEWWQvY6x2iUQWaHJbSGCLUKaqROyeFWZmcRYL7oO3ZmwGkdhyRMxV9fMt1mYPaV9buv1vHHRw==","signatures":[{"sig":"MEUCIQC7iDtsafPUN2HlnfENF+zW05G4+Trq9rwk1W+qQK5NnAIgCRTebGb3hWGhqR4xWycNN6uHtKGYzzQcVEOZcQ4D7p0=","keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U"}],"unpackedSize":1692897},"main":"dist/index.js","type":"module","types":"dist/index.d.ts","exports":{".":"./dist/index.js"},"gitHead":"eddd37df1857aa406d944f35a110323012f169a3","scripts":{"test":"vitest run","build":"tsc"},"_npmUser":{"name":"ruvnet","email":"ruv@ruv.net"},"_npmVersion":"10.9.4","description":"Neural module - SONA learning integration, neural modes","directories":{},"_nodeVersion":"22.21.1","dependencies":{"@ruvector/sona":"latest","@claude-flow/memory":"^3.0.0-alpha.1"},"publishConfig":{"tag":"v3alpha","access":"public"},"_hasShrinkwrap":false,"_npmOperationalInternal":{"tmp":"tmp/neural_3.0.0-alpha.1_1767735888930_0.6534149477047189","host":"s3://npm-registry-packages-npm-production"}},"3.0.0-alpha.2":{"name":"@claude-flow/neural","version":"3.0.0-alpha.2","_id":"@claude-flow/neural@3.0.0-alpha.2","maintainers":[{"name":"ruvnet","email":"ruv@ruv.net"}],"dist":{"shasum":"85f71324f2167e5b1d8104ea014fd6346306593c","tarball":"https://registry.npmjs.org/@claude-flow/neural/-/neural-3.0.0-alpha.2.tgz","fileCount":224,"integrity":"sha512-CFUQGAKRuCuFL5Yjb4Bn+hap5lS2q/ee6EujXd3ts2FsDyLMYy4RL3bqlTAYoawfMYuO32EUI0bVD5sMjr8C+g==","signatures":[{"sig":"MEUCIQDm8pFyjT7SHhN+I8m/WFTVux7AMV5/lTt9R3JuCevzfwIgJgaQ7D5CC2dUgSwFF/oC4bgig7ZEHtBv4YZIG4tXC34=","keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U"}],"unpackedSize":1692898},"main":"dist/index.js","type":"module","types":"dist/index.d.ts","exports":{".":"./dist/index.js"},"gitHead":"eddd37df1857aa406d944f35a110323012f169a3","scripts":{"test":"vitest run","build":"tsc"},"_npmUser":{"name":"ruvnet","email":"ruv@ruv.net"},"_npmVersion":"10.9.4","description":"Neural module - SONA learning integration, neural modes","directories":{},"_nodeVersion":"22.21.1","dependencies":{"@ruvector/sona":"latest","@claude-flow/memory":"^3.0.0-alpha.2"},"publishConfig":{"tag":"v3alpha","access":"public"},"_hasShrinkwrap":false,"readmeFilename":"README.md","_npmOperationalInternal":{"tmp":"tmp/neural_3.0.0-alpha.2_1767737955353_0.2694762408473992","host":"s3://npm-registry-packages-npm-production"}},"3.0.0-alpha.7":{"name":"@claude-flow/neural","version":"3.0.0-alpha.7","_id":"@claude-flow/neural@3.0.0-alpha.7","maintainers":[{"name":"ruvnet","email":"ruv@ruv.net"}],"dist":{"shasum":"0f1d7afa76451954855aaa80f714e90c1c7a400d","tarball":"https://registry.npmjs.org/@claude-flow/neural/-/neural-3.0.0-alpha.7.tgz","fileCount":232,"integrity":"sha512-OsL/IPMa62S3pwRo0EZ5tAbEdyhD6ALrUZdEj5o6MTPmFt5Xn6PD5uWcX2C5yEMCG/sAIM+Lpb3MDKqIi9avHA==","signatures":[{"sig":"MEYCIQCOFW15LHnFgTgNBsUHfqw8Jyt9tKw7LaQhW3acjadG0QIhANB+0eieVzmpCCVa86rIjxYISU3T2ks16gRWBjtYSICZ","keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U"}],"unpackedSize":1689811},"main":"dist/index.js","type":"module","types":"dist/index.d.ts","exports":{".":"./dist/index.js"},"gitHead":"931dbc25a418d441c8605c0bd66fb19614b97647","scripts":{"test":"vitest run","build":"tsc"},"_npmUser":{"name":"ruvnet","email":"ruv@ruv.net"},"_npmVersion":"10.9.4","description":"Neural module - SONA learning integration, neural modes","directories":{},"_nodeVersion":"22.21.1","dependencies":{"@ruvector/sona":"latest","@claude-flow/memory":"^3.0.0-alpha.2"},"publishConfig":{"tag":"v3alpha","access":"public"},"_hasShrinkwrap":false,"readmeFilename":"README.md","_npmOperationalInternal":{"tmp":"tmp/neural_3.0.0-alpha.7_1769209597349_0.054544506348519706","host":"s3://npm-registry-packages-npm-production"}},"3.0.0-alpha.8":{"name":"@claude-flow/neural","version":"3.0.0-alpha.8","keywords":["ai","agents","ai-agents","multi-agent","multi-agent-systems","agentic","agentic-ai","agentic-systems","claude-flow","ruflo","claude","claude-code","anthropic","neural","neural-network","neural-networks","sona","self-optimizing","self-improving","adaptive-learning","continual-learning","lifelong-learning","online-learning","reinforcement-learning","rl","deep-rl","ppo","proximal-policy-optimization","dqn","deep-q-network","a2c","advantage-actor-critic","q-learning","sarsa","decision-transformer","curiosity-driven","exploration","policy-gradient","value-function","lora","low-rank-adaptation","ewc","elastic-weight-consolidation","catastrophic-forgetting","flash-attention","fast-attention","mixture-of-experts","moe","expert-routing","trajectory","trajectory-learning","experience-replay","pattern-recognition","pattern-matching","pattern-extraction","pattern-evolution","reasoning","reasoning-bank","reasoning-traces","self-consistency","ensemble","embeddings","vector-embeddings","vector-search","hnsw","semantic-search","cosine-similarity","agentdb","memory","knowledge-distillation","model-compression","quantization","fine-tuning","transfer-learning","meta-learning","mcp","model-context-protocol","llm","llm-agents","agent-orchestration","agent-coordination","ml","machine-learning","typescript","esm","wasm","open-source"],"author":{"url":"https://github.com/ruvnet","name":"ruvnet"},"license":"MIT","_id":"@claude-flow/neural@3.0.0-alpha.8","maintainers":[{"name":"ruvnet","email":"ruv@ruv.net"}],"homepage":"https://github.com/ruvnet/ruflo","bugs":{"url":"https://github.com/ruvnet/ruflo/issues"},"dist":{"shasum":"cedb4a69e1821f7fa68fb6560dd01c8660018fdc","tarball":"https://registry.npmjs.org/@claude-flow/neural/-/neural-3.0.0-alpha.8.tgz","fileCount":130,"integrity":"sha512-+aPg0o6NfaGgw+toEVYdnxxbdtJTOBCtZcqC3BMHkor2AW3UigXoldhMc9T1w+Top11biZy3ZwrvwXHHcLjD4g==","signatures":[{"sig":"MEYCIQDpcwg05ot60yPE20wsJVIBWMoiZTWPrbwcIqtYbJZXsAIhAO2HcslAI8f9AcvPcz5OyCkWZrI6ToEm91NbJl/ZC3LM","keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U"}],"unpackedSize":828557},"main":"dist/index.js","type":"module","types":"dist/index.d.ts","exports":{".":"./dist/index.js"},"gitHead":"6b9392f089b57b4082818820f1972c6dfa07110f","scripts":{"test":"vitest run","build":"tsc"},"_npmUser":{"name":"ruvnet","email":"ruv@ruv.net"},"repository":{"url":"git+https://github.com/ruvnet/ruflo.git","type":"git","directory":"v3/@claude-flow/neural"},"_npmVersion":"10.9.4","description":"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","directories":{},"_nodeVersion":"22.22.1","dependencies":{"@ruvector/sona":"latest","@claude-flow/memory":"^3.0.0-alpha.2"},"publishConfig":{"tag":"v3alpha","access":"public"},"_hasShrinkwrap":false,"readmeFilename":"README.md","optionalDependencies":{"agentdb":"^2.0.0 || ^3.0.0-alpha.1"},"_npmOperationalInternal":{"tmp":"tmp/neural_3.0.0-alpha.8_1778035953705_0.7151014112558725","host":"s3://npm-registry-packages-npm-production"}},"3.0.0-alpha.9":{"name":"@claude-flow/neural","version":"3.0.0-alpha.9","keywords":["ai","agents","ai-agents","multi-agent","multi-agent-systems","agentic","agentic-ai","agentic-systems","claude-flow","ruflo","claude","claude-code","anthropic","neural","neural-network","neural-networks","sona","self-optimizing","self-improving","adaptive-learning","continual-learning","lifelong-learning","online-learning","reinforcement-learning","rl","deep-rl","ppo","proximal-policy-optimization","dqn","deep-q-network","a2c","advantage-actor-critic","q-learning","sarsa","decision-transformer","curiosity-driven","exploration","policy-gradient","value-function","lora","low-rank-adaptation","ewc","elastic-weight-consolidation","catastrophic-forgetting","flash-attention","fast-attention","mixture-of-experts","moe","expert-routing","trajectory","trajectory-learning","experience-replay","pattern-recognition","pattern-matching","pattern-extraction","pattern-evolution","reasoning","reasoning-bank","reasoning-traces","self-consistency","ensemble","embeddings","vector-embeddings","vector-search","hnsw","semantic-search","cosine-similarity","agentdb","memory","knowledge-distillation","model-compression","quantization","fine-tuning","transfer-learning","meta-learning","mcp","model-context-protocol","llm","llm-agents","agent-orchestration","agent-coordination","ml","machine-learning","typescript","esm","wasm","open-source"],"author":{"url":"https://github.com/ruvnet","name":"ruvnet"},"license":"MIT","_id":"@claude-flow/neural@3.0.0-alpha.9","maintainers":[{"name":"ruvnet","email":"ruv@ruv.net"}],"homepage":"https://github.com/ruvnet/ruflo","bugs":{"url":"https://github.com/ruvnet/ruflo/issues"},"dist":{"shasum":"fca3943d58db13f2b9da2fea5a49d983da1ddfc4","tarball":"https://registry.npmjs.org/@claude-flow/neural/-/neural-3.0.0-alpha.9.tgz","fileCount":130,"integrity":"sha512-u7mx6rQxHrpCyKVtP600QorSJrEhoqYEyGZgYVU1kGWwYitScJH3rzWzss95Dn+RazcCAk7yElEG/iSbhtxU6g==","signatures":[{"sig":"MEUCIEPfswsUA5rWnabJS2IP0WVHFo6CpH62dTr6vpMf85rAAiEAgRM2LF9Mi8Tvsn0UZMiuXXeqmi02EaabbctQtKpNjMs=","keyid":"SHA256:DhQ8wR5APBvFHLF/+Tc+AYvPOdTpcIDqOhxsBHRwC7U"}],"unpackedSize":829432},"main":"dist/index.js","type":"module","types":"dist/index.d.ts","exports":{".":"./dist/index.js"},"gitHead":"ca0a6fa5cb1678b5c57c9289bc09a036f7308c61","scripts":{"test":"vitest run","build":"tsc"},"_npmUser":{"name":"ruvnet","email":"ruv@ruv.net"},"repository":{"url":"git+https://github.com/ruvnet/ruflo.git","type":"git","directory":"v3/@claude-flow/neural"},"_npmVersion":"10.9.4","description":"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","directories":{},"_nodeVersion":"22.22.1","dependencies":{"@ruvector/sona":"0.1.5","@claude-flow/memory":"^3.0.0-alpha.16"},"publishConfig":{"tag":"v3alpha","access":"public"},"_hasShrinkwrap":false,"readmeFilename":"README.md","optionalDependencies":{"agentdb":"^2.0.0 || ^3.0.0-alpha.1"},"_npmOperationalInternal":{"tmp":"tmp/neural_3.0.0-alpha.9_1778963571481_0.4326580994822209","host":"s3://npm-registry-packages-npm-production"}}},"time":{"created":"2026-01-06T21:44:48.870Z","modified":"2026-05-16T20:33:06.043Z","3.0.0-alpha.1":"2026-01-06T21:44:49.113Z","3.0.0-alpha.2":"2026-01-06T22:19:15.533Z","3.0.0-alpha.7":"2026-01-23T23:06:37.553Z","3.0.0-alpha.8":"2026-05-06T02:52:33.992Z","3.0.0-alpha.9":"2026-05-16T20:32:51.692Z"},"bugs":{"url":"https://github.com/ruvnet/ruflo/issues"},"author":{"url":"https://github.com/ruvnet","name":"ruvnet"},"license":"MIT","homepage":"https://github.com/ruvnet/ruflo","keywords":["ai","agents","ai-agents","multi-agent","multi-agent-systems","agentic","agentic-ai","agentic-systems","claude-flow","ruflo","claude","claude-code","anthropic","neural","neural-network","neural-networks","sona","self-optimizing","self-improving","adaptive-learning","continual-learning","lifelong-learning","online-learning","reinforcement-learning","rl","deep-rl","ppo","proximal-policy-optimization","dqn","deep-q-network","a2c","advantage-actor-critic","q-learning","sarsa","decision-transformer","curiosity-driven","exploration","policy-gradient","value-function","lora","low-rank-adaptation","ewc","elastic-weight-consolidation","catastrophic-forgetting","flash-attention","fast-attention","mixture-of-experts","moe","expert-routing","trajectory","trajectory-learning","experience-replay","pattern-recognition","pattern-matching","pattern-extraction","pattern-evolution","reasoning","reasoning-bank","reasoning-traces","self-consistency","ensemble","embeddings","vector-embeddings","vector-search","hnsw","semantic-search","cosine-similarity","agentdb","memory","knowledge-distillation","model-compression","quantization","fine-tuning","transfer-learning","meta-learning","mcp","model-context-protocol","llm","llm-agents","agent-orchestration","agent-coordination","ml","machine-learning","typescript","esm","wasm","open-source"],"repository":{"url":"git+https://github.com/ruvnet/ruflo.git","type":"git","directory":"v3/@claude-flow/neural"},"description":"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":[{"name":"ruvnet","email":"ruv@ruv.net"}],"readme":"","readmeFilename":"README.md"}