@claude-flow/neural
ruvnet esm
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
Version 3.0.0-alpha.9 License MIT
Keywords
aiagentsai-agentsmulti-agentmulti-agent-systemsagenticagentic-aiagentic-systemsclaude-flowrufloclaudeclaude-codeanthropicneuralneural-network
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ShareKeywords
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
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