feat(adr-017): Implement ruvector integrations in signal crate (partial)
Agents completed three of seven ADR-017 integration points: 1. subcarrier_selection.rs — ruvector-mincut: mincut_subcarrier_partition partitions subcarriers into (sensitive, insensitive) groups using DynamicMinCut. O(n^1.5 log n) amortized vs O(n log n) static sort. Includes test: mincut_partition_separates_high_low. 2. spectrogram.rs — ruvector-attn-mincut: gate_spectrogram applies self-attention (Q=K=V) over STFT time frames to suppress noise and multipath interference frames. Configurable lambda gating strength. Includes tests: preserves shape, finite values. 3. bvp.rs — ruvector-attention stub added (in progress by agent). 4. Cargo.toml — added ruvector-mincut, ruvector-attn-mincut, ruvector-temporal-tensor, ruvector-solver, ruvector-attention as workspace deps in wifi-densepose-signal crate. Cargo.lock updated for new dependencies. Remaining ADR-017 integrations (fresnel.rs, MAT crate) still in progress via background agents. https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
This commit is contained in:
Claude
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.swarm/memory.db
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.swarm/schema.sql
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.swarm/schema.sql
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-- Claude Flow V3 Memory Database
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-- Version: 3.0.0
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-- Features: Pattern learning, vector embeddings, temporal decay, migration tracking
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PRAGMA journal_mode = WAL;
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PRAGMA synchronous = NORMAL;
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PRAGMA foreign_keys = ON;
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-- ============================================
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-- CORE MEMORY TABLES
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-- ============================================
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-- Memory entries (main storage)
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CREATE TABLE IF NOT EXISTS memory_entries (
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id TEXT PRIMARY KEY,
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key TEXT NOT NULL,
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namespace TEXT DEFAULT 'default',
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content TEXT NOT NULL,
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type TEXT DEFAULT 'semantic' CHECK(type IN ('semantic', 'episodic', 'procedural', 'working', 'pattern')),
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-- Vector embedding for semantic search (stored as JSON array)
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embedding TEXT,
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embedding_model TEXT DEFAULT 'local',
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embedding_dimensions INTEGER,
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-- Metadata
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tags TEXT, -- JSON array
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metadata TEXT, -- JSON object
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owner_id TEXT,
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-- Timestamps
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created_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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updated_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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expires_at INTEGER,
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last_accessed_at INTEGER,
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-- Access tracking for hot/cold detection
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access_count INTEGER DEFAULT 0,
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-- Status
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status TEXT DEFAULT 'active' CHECK(status IN ('active', 'archived', 'deleted')),
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UNIQUE(namespace, key)
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);
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-- Indexes for memory entries
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CREATE INDEX IF NOT EXISTS idx_memory_namespace ON memory_entries(namespace);
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CREATE INDEX IF NOT EXISTS idx_memory_key ON memory_entries(key);
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CREATE INDEX IF NOT EXISTS idx_memory_type ON memory_entries(type);
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CREATE INDEX IF NOT EXISTS idx_memory_status ON memory_entries(status);
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CREATE INDEX IF NOT EXISTS idx_memory_created ON memory_entries(created_at);
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CREATE INDEX IF NOT EXISTS idx_memory_accessed ON memory_entries(last_accessed_at);
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CREATE INDEX IF NOT EXISTS idx_memory_owner ON memory_entries(owner_id);
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-- ============================================
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-- PATTERN LEARNING TABLES
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-- ============================================
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-- Learned patterns with confidence scoring and versioning
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CREATE TABLE IF NOT EXISTS patterns (
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id TEXT PRIMARY KEY,
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-- Pattern identification
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name TEXT NOT NULL,
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pattern_type TEXT NOT NULL CHECK(pattern_type IN (
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'task-routing', 'error-recovery', 'optimization', 'learning',
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'coordination', 'prediction', 'code-pattern', 'workflow'
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)),
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-- Pattern definition
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condition TEXT NOT NULL, -- Regex or semantic match
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action TEXT NOT NULL, -- What to do when pattern matches
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description TEXT,
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-- Confidence scoring (0.0 - 1.0)
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confidence REAL DEFAULT 0.5,
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success_count INTEGER DEFAULT 0,
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failure_count INTEGER DEFAULT 0,
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-- Temporal decay
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decay_rate REAL DEFAULT 0.01, -- How fast confidence decays
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half_life_days INTEGER DEFAULT 30, -- Days until confidence halves without use
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-- Vector embedding for semantic pattern matching
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embedding TEXT,
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embedding_dimensions INTEGER,
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-- Versioning
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version INTEGER DEFAULT 1,
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parent_id TEXT REFERENCES patterns(id),
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-- Metadata
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tags TEXT, -- JSON array
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metadata TEXT, -- JSON object
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source TEXT, -- Where the pattern was learned from
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-- Timestamps
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created_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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updated_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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last_matched_at INTEGER,
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last_success_at INTEGER,
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last_failure_at INTEGER,
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-- Status
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status TEXT DEFAULT 'active' CHECK(status IN ('active', 'archived', 'deprecated', 'experimental'))
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);
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-- Indexes for patterns
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CREATE INDEX IF NOT EXISTS idx_patterns_type ON patterns(pattern_type);
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CREATE INDEX IF NOT EXISTS idx_patterns_confidence ON patterns(confidence DESC);
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CREATE INDEX IF NOT EXISTS idx_patterns_status ON patterns(status);
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CREATE INDEX IF NOT EXISTS idx_patterns_last_matched ON patterns(last_matched_at);
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-- Pattern evolution history (for versioning)
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CREATE TABLE IF NOT EXISTS pattern_history (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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pattern_id TEXT NOT NULL REFERENCES patterns(id),
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version INTEGER NOT NULL,
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-- Snapshot of pattern state
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confidence REAL,
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success_count INTEGER,
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failure_count INTEGER,
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condition TEXT,
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action TEXT,
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-- What changed
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change_type TEXT CHECK(change_type IN ('created', 'updated', 'success', 'failure', 'decay', 'merged', 'split')),
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change_reason TEXT,
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created_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000)
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);
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CREATE INDEX IF NOT EXISTS idx_pattern_history_pattern ON pattern_history(pattern_id);
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-- ============================================
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-- LEARNING & TRAJECTORY TABLES
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-- ============================================
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-- Learning trajectories (SONA integration)
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CREATE TABLE IF NOT EXISTS trajectories (
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id TEXT PRIMARY KEY,
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session_id TEXT,
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-- Trajectory state
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status TEXT DEFAULT 'active' CHECK(status IN ('active', 'completed', 'failed', 'abandoned')),
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verdict TEXT CHECK(verdict IN ('success', 'failure', 'partial', NULL)),
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-- Context
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task TEXT,
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context TEXT, -- JSON object
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-- Metrics
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total_steps INTEGER DEFAULT 0,
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total_reward REAL DEFAULT 0,
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-- Timestamps
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started_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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ended_at INTEGER,
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-- Reference to extracted pattern (if any)
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extracted_pattern_id TEXT REFERENCES patterns(id)
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);
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-- Trajectory steps
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CREATE TABLE IF NOT EXISTS trajectory_steps (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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trajectory_id TEXT NOT NULL REFERENCES trajectories(id),
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step_number INTEGER NOT NULL,
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-- Step data
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action TEXT NOT NULL,
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observation TEXT,
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reward REAL DEFAULT 0,
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-- Metadata
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metadata TEXT, -- JSON object
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created_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000)
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);
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CREATE INDEX IF NOT EXISTS idx_steps_trajectory ON trajectory_steps(trajectory_id);
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-- ============================================
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-- MIGRATION STATE TRACKING
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-- ============================================
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-- Migration state (for resume capability)
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CREATE TABLE IF NOT EXISTS migration_state (
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id TEXT PRIMARY KEY,
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migration_type TEXT NOT NULL, -- 'v2-to-v3', 'pattern', 'memory', etc.
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-- Progress tracking
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status TEXT DEFAULT 'pending' CHECK(status IN ('pending', 'in_progress', 'completed', 'failed', 'rolled_back')),
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total_items INTEGER DEFAULT 0,
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processed_items INTEGER DEFAULT 0,
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failed_items INTEGER DEFAULT 0,
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skipped_items INTEGER DEFAULT 0,
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-- Current position (for resume)
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current_batch INTEGER DEFAULT 0,
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last_processed_id TEXT,
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-- Source/destination info
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source_path TEXT,
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source_type TEXT,
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destination_path TEXT,
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-- Backup info
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backup_path TEXT,
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backup_created_at INTEGER,
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-- Error tracking
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last_error TEXT,
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errors TEXT, -- JSON array of errors
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-- Timestamps
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started_at INTEGER,
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completed_at INTEGER,
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created_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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updated_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000)
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);
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-- ============================================
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-- SESSION MANAGEMENT
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-- ============================================
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-- Sessions for context persistence
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CREATE TABLE IF NOT EXISTS sessions (
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id TEXT PRIMARY KEY,
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-- Session state
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state TEXT NOT NULL, -- JSON object with full session state
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status TEXT DEFAULT 'active' CHECK(status IN ('active', 'paused', 'completed', 'expired')),
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-- Context
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project_path TEXT,
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branch TEXT,
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-- Metrics
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tasks_completed INTEGER DEFAULT 0,
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patterns_learned INTEGER DEFAULT 0,
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-- Timestamps
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created_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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updated_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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expires_at INTEGER
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);
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-- ============================================
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-- VECTOR INDEX METADATA (for HNSW)
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-- ============================================
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-- Track HNSW index state
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CREATE TABLE IF NOT EXISTS vector_indexes (
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id TEXT PRIMARY KEY,
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name TEXT NOT NULL UNIQUE,
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-- Index configuration
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dimensions INTEGER NOT NULL,
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metric TEXT DEFAULT 'cosine' CHECK(metric IN ('cosine', 'euclidean', 'dot')),
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-- HNSW parameters
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hnsw_m INTEGER DEFAULT 16,
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hnsw_ef_construction INTEGER DEFAULT 200,
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hnsw_ef_search INTEGER DEFAULT 100,
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-- Quantization
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quantization_type TEXT CHECK(quantization_type IN ('none', 'scalar', 'product')),
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quantization_bits INTEGER DEFAULT 8,
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-- Statistics
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total_vectors INTEGER DEFAULT 0,
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last_rebuild_at INTEGER,
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created_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000),
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updated_at INTEGER NOT NULL DEFAULT (strftime('%s', 'now') * 1000)
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);
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-- ============================================
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-- SYSTEM METADATA
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-- ============================================
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CREATE TABLE IF NOT EXISTS metadata (
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key TEXT PRIMARY KEY,
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value TEXT NOT NULL,
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updated_at INTEGER DEFAULT (strftime('%s', 'now') * 1000)
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);
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INSERT OR REPLACE INTO metadata (key, value) VALUES
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('schema_version', '3.0.0'),
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('backend', 'hybrid'),
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('created_at', '2026-02-28T16:04:25.842Z'),
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('sql_js', 'true'),
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('vector_embeddings', 'enabled'),
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('pattern_learning', 'enabled'),
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('temporal_decay', 'enabled'),
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('hnsw_indexing', 'enabled');
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-- Create default vector index configuration
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INSERT OR IGNORE INTO vector_indexes (id, name, dimensions) VALUES
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('default', 'default', 768),
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('patterns', 'patterns', 768);
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8
.swarm/state.json
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{
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"id": "swarm-1772294837997",
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"topology": "hierarchical",
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"maxAgents": 8,
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"strategy": "specialized",
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"initializedAt": "2026-02-28T16:07:17.997Z",
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"status": "ready"
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}
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