mirror of
https://github.com/ruvnet/RuVector.git
synced 2026-05-24 22:15:18 +00:00
Problems fixed: - Every gist was "X shows weak co-occurrence with Y (confidence: 50%)" - Same generic cluster labels (debug, architecture, geopolitics) recycled - Novelty thresholds too low (2 inferences, 100 evidence, 0.008 strange loop) - Rate limit too permissive (4 hours = 6 gists/day of noise) - No content-level dedup Changes: - Raise novelty thresholds: 5 inferences, 500 evidence, 0.05 strange loop - Add MIN_INFERENCE_CONFIDENCE (60%) — filter out weak signals before publishing - Add strong_inferences() / strong_propositions() quality filters - Raise cross-domain similarity threshold from 0.3 to 0.45 at source - Raise predicate thresholds (may_influence: 0.75, associated_with: 0.55) - Rate limit: 24 hours between gists (was 4 hours) - Content-based dedup (category + dominant inference, not just title) - 3-pass research loop: (1) Gemini grounded research on topics, (2) brain memory search for internal context, (3) Gemini synthesis - Deleted all 45 old repetitive gists Co-Authored-By: claude-flow <ruv@ruv.net>
82 lines
2.3 KiB
JSON
82 lines
2.3 KiB
JSON
{
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"name": "@ruvector/sona",
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"version": "0.1.5",
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"description": "Self-Optimizing Neural Architecture (SONA) - Runtime-adaptive learning with LoRA, EWC++, and ReasoningBank for LLM routers and AI systems. Sub-millisecond learning overhead, WASM and Node.js support.",
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"main": "index.js",
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"types": "index.d.ts",
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"napi": {
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"binaryName": "sona",
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"targets": [
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"x86_64-unknown-linux-gnu",
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"x86_64-unknown-linux-musl",
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"aarch64-unknown-linux-gnu",
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"x86_64-apple-darwin",
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"aarch64-apple-darwin",
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"x86_64-pc-windows-msvc",
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"aarch64-pc-windows-msvc"
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]
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},
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"scripts": {
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"artifacts": "napi artifacts",
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"build": "napi build --platform --release -p ruvector-sona --manifest-path ../../../crates/sona/Cargo.toml -F napi",
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"build:debug": "napi build --platform -p ruvector-sona --manifest-path ../../../crates/sona/Cargo.toml -F napi",
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"test": "node --test",
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"universal": "napi universal",
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"version": "napi version"
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},
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"devDependencies": {
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"@napi-rs/cli": "^2.18.0"
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},
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"keywords": [
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"sona",
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"neural-network",
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"adaptive-learning",
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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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"reasoningbank",
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"llm",
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"llm-router",
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"machine-learning",
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"ai",
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"deep-learning",
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"continual-learning",
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"napi",
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"rust",
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"ruvector"
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],
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"author": "rUv Team <team@ruv.io>",
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"license": "MIT OR Apache-2.0",
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"repository": {
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"type": "git",
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"url": "https://github.com/ruvnet/ruvector.git",
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"directory": "npm/packages/sona"
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},
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"homepage": "https://github.com/ruvnet/ruvector/tree/main/crates/sona",
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"bugs": {
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"url": "https://github.com/ruvnet/ruvector/issues"
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},
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"engines": {
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"node": ">= 16"
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},
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"publishConfig": {
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"registry": "https://registry.npmjs.org/",
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"access": "public"
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},
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"files": [
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"index.js",
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"index.d.ts",
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"README.md",
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"*.node"
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],
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"optionalDependencies": {
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"@ruvector/sona-linux-x64-gnu": "0.1.4",
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"@ruvector/sona-linux-x64-musl": "0.1.4",
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"@ruvector/sona-linux-arm64-gnu": "0.1.4",
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"@ruvector/sona-darwin-x64": "0.1.4",
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"@ruvector/sona-darwin-arm64": "0.1.4",
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"@ruvector/sona-win32-x64-msvc": "0.1.4",
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"@ruvector/sona-win32-arm64-msvc": "0.1.4"
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}
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}
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