feat(memory): add experimental qmd search backend

src/config/schema.ts

@@ -313,6 +313,15 @@ const embeddingSchema = z.object({
   hybrid_weight: z.number().min(0).max(1).default(0.7),
 }).default({});
 
+const qmdSchema = z.object({
+  /** Enable experimental QMD (query markdown database) memory search backend. */
+  enabled: z.boolean().default(false),
+  /** Maximum number of QMD results returned by memory.search. */
+  top_k: z.number().min(1).max(50).default(8),
+  /** Minimum relevance score (0-1) for QMD matches. */
+  min_score: z.number().min(0).max(1).default(0.15),
+}).default({});
+
 const memorySchema = z.object({
   enabled: z.boolean().default(true),
   dir: z.string().optional(), // Default: ~/.local/share/flynn/memory
@@ -321,6 +330,7 @@ const memorySchema = z.object({
   max_injection_tokens: z.number().min(100).max(10000).default(2000),
   max_context_tokens: z.number().min(100).max(10000).default(2000),
   embedding: embeddingSchema,
+  qmd: qmdSchema,
 }).default({});
 
 const compactionSchema = z.object({
@@ -593,6 +603,7 @@ export type HeartbeatConfig = z.infer<typeof heartbeatSchema>;
 export type HeartbeatCheck = z.infer<typeof heartbeatCheckSchema>;
 export type EmbeddingConfig = z.infer<typeof embeddingSchema>;
 export type EmbeddingProvider = z.infer<typeof embeddingProviderSchema>;
+export type QmdConfig = z.infer<typeof qmdSchema>;
 export type GcalConfig = z.infer<typeof gcalSchema>;
 export type GdocsConfig = z.infer<typeof gdocsSchema>;
 export type GdriveConfig = z.infer<typeof gdriveSchema>;