FACT = 0,

PREFERENCE = 1,

EVENT = 2,

CONVERSATION = 3

uint64_t target_id;

std::string rel_type; // "related_to", "derived_from", "caused_by", etc.

float weight; // relationship strength [0.0–1.0]

Edge() : target_id(0), rel_type("related_to"), weight(1.0f) {}

Edge(uint64_t t, const std::string& r, float w)

: target_id(t), rel_type(r), weight(w) {}

int64_t timestamp;

float importance;

ContextType type;

std::string source;

std::string content;

std::string tags_json;

// Phase 3: Salience

uint32_t recall_count;

uint64_t last_recalled_at;

// Phase 4: Namespace + Entity + Attributes

std::string namespace_id;

std::string entity_id;

std::unordered_map<std::string, std::string> attributes;

// Phase 5: Typed, weighted context graph edges (replaces plain `links`)

std::vector<Edge> edges;

// Phase 6: Working memory + epistemic confidence

int64_t ttl; // seconds-to-live from timestamp; 0 = never expires

float confidence; // certainty about this fact [0.0–1.0]; default 1.0

Metadata() : timestamp(0), importance(1.0f), type(ContextType::FACT),

recall_count(0), last_recalled_at(0),

ttl(0), confidence(1.0f) {}

void serialize(std::ostream& os) const;

static Metadata deserialize(std::istream& is);

uint64_t id;

Metadata metadata;

// The vector is still managed by DB class/index