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ruv
5b71c7ac13
This commit closes the chain started inca0a6fa5c(standalone use recipes landed in repo but never reached npm because no version bumps shipped). ## Changes ### Module version bumps (alpha.43) - @claude-flow/memory → 3.0.0-alpha.17 (republish standalone use README) - @claude-flow/embeddings → 3.0.0-alpha.18 (republish standalone use README) - @claude-flow/security → 3.0.0-alpha.8 (republish standalone use README) - @claude-flow/neural → 3.0.0-alpha.9 (pin @ruvector/sona to 0.1.5, republish standalone use README) - @claude-flow/cli → 3.7.0-alpha.43 (repin to new modules above) - claude-flow → 3.7.0-alpha.43 (umbrella) - ruflo → 3.7.0-alpha.43 (umbrella) ### Umbrella bump (alpha.44) — npm download badges - @claude-flow/cli → 3.7.0-alpha.44 - claude-flow → 3.7.0-alpha.44 - ruflo → 3.7.0-alpha.44 ### Neural sona pin (root fix for #2022) @claude-flow/neural alpha.8 had `"@ruvector/sona": "latest"`, and @ruvector/sona@0.1.6 (current latest on npm) shipped as an empty publish — README + package.json only, no index.js or native bins. So every fresh `npm install @claude-flow/neural@alpha.8` broke at import time with `Cannot find package '.../node_modules/@ruvector/sona/index.js'`. Alpha.9 pins to the exact known-good 0.1.5 (which has index.js + 7 platform-specific .node bins). Will revert to a range once @ruvector/sona@0.1.7+ ships with content (tracked in #2022). ### npm download badges across every published package README Added `shields.io/npm/dm/<pkg>` (monthly downloads) badges to: - claims, cli-core, plugins (had no npm badges at all) - plugin-agent-federation, plugin-iot-cognitum (no npm badges) - browser, codex, mcp (had version badge, missing downloads) - umbrella root README (now badges both `ruflo` + `claude-flow`) The ruflo/README.md and v3/@claude-flow/cli/README.md auto-copy from root via prepublishOnly, so they inherit the new badges on publish. Packages that already carried downloads badges (aidefence, deployment, embeddings, guidance, hooks, integration, memory, neural, performance, providers, security, shared, swarm, testing) are unchanged. ## Live functional check on the published artifacts - Fresh `npm install @claude-flow/neural@3.0.0-alpha.9`: sona resolves to 0.1.5; `import('@claude-flow/neural')` returns A2CAlgorithm, BalancedMode, BaseModeImplementation, BatchMode, CuriosityModule, ... (was broken before alpha.9). - Standalone use sections fromca0a6fa5cnow visible on npmjs.com for memory@alpha.17, embeddings@alpha.18, security@alpha.8, neural@alpha.9. - npm dm/ badges resolve and render the current weekly download count. Co-Authored-By: RuFlo <ruv@ruv.net>
135 lines
3.0 KiB
JSON
135 lines
3.0 KiB
JSON
{
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"name": "@claude-flow/neural",
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"version": "3.0.0-alpha.9",
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"type": "module",
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"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 learning. Reproducible via seedable PRNG; persistence via serialize/deserialize.",
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"main": "dist/index.js",
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"types": "dist/index.d.ts",
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"exports": {
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".": "./dist/index.js"
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},
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"scripts": {
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"test": "vitest run",
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"build": "tsc"
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},
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"keywords": [
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"ai",
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"agents",
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"ai-agents",
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"multi-agent",
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"multi-agent-systems",
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"agentic",
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"agentic-ai",
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"agentic-systems",
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"claude-flow",
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"ruflo",
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"claude",
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"claude-code",
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"anthropic",
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"neural",
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"neural-network",
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"neural-networks",
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"sona",
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"self-optimizing",
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"self-improving",
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"adaptive-learning",
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"continual-learning",
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"lifelong-learning",
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"online-learning",
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"reinforcement-learning",
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"rl",
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"deep-rl",
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"ppo",
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"proximal-policy-optimization",
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"dqn",
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"deep-q-network",
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"a2c",
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"advantage-actor-critic",
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"q-learning",
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"sarsa",
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"decision-transformer",
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"curiosity-driven",
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"exploration",
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"policy-gradient",
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"value-function",
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"lora",
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"low-rank-adaptation",
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"ewc",
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"elastic-weight-consolidation",
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"catastrophic-forgetting",
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"flash-attention",
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"fast-attention",
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"mixture-of-experts",
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"moe",
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"expert-routing",
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"trajectory",
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"trajectory-learning",
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"experience-replay",
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"pattern-recognition",
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"pattern-matching",
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"pattern-extraction",
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"pattern-evolution",
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"reasoning",
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"reasoning-bank",
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"reasoning-traces",
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"self-consistency",
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"ensemble",
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"embeddings",
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"vector-embeddings",
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"vector-search",
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"hnsw",
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"semantic-search",
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"cosine-similarity",
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"agentdb",
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"memory",
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"knowledge-distillation",
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"model-compression",
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"quantization",
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"fine-tuning",
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"transfer-learning",
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"meta-learning",
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"mcp",
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"model-context-protocol",
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"llm",
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"llm-agents",
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"agent-orchestration",
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"agent-coordination",
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"ml",
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"machine-learning",
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"typescript",
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"esm",
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"wasm",
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"open-source"
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],
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"author": {
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"name": "ruvnet",
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"url": "https://github.com/ruvnet"
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},
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"license": "MIT",
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"homepage": "https://github.com/ruvnet/ruflo",
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"repository": {
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"type": "git",
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"url": "https://github.com/ruvnet/ruflo.git",
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"directory": "v3/@claude-flow/neural"
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},
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"bugs": {
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"url": "https://github.com/ruvnet/ruflo/issues"
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},
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"files": [
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"dist/",
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"README.md",
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"LICENSE"
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],
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"dependencies": {
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"@claude-flow/memory": "^3.0.0-alpha.16",
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"@ruvector/sona": "0.1.5"
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},
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"optionalDependencies": {
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"agentdb": "^2.0.0 || ^3.0.0-alpha.1"
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},
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"publishConfig": {
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"access": "public",
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"tag": "v3alpha"
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}
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}
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