chore(deps): refactor ksqlite dependency to use version catalog

standalone/build.gradle.kts

@@ -70,7 +70,7 @@ kotlin {
             // ksqlite объявлен как `implementation` (не `api`) в каждом
             // ksqlite-модуле, поэтому SqliteStores здесь использует
             // SQLiteConnection напрямую — фиксируем зависимость явно.
-            implementation("pw.binom.db:ksqlite:0.1.3")
+            implementation(libs.ksqlite)
 
             // Bounded-tail live event stream + per-event TTL.
             implementation(project(":outbox-inmemory"))

standalone/src/commonMain/kotlin/pw/binom/agentik/standalone/Main.kt

@@ -33,6 +33,7 @@ import pw.binom.agentik.mcp.bridge.McpRegistry
 import pw.binom.agentik.standalone.persistence.SqliteStores
 import java.io.File
 import pw.binom.agentik.skill.mining.SkillMiner
+
 /**
  * standalone-контейнер agentik:
  *  - :server (proto):  встраиваемый Ktor (CIO), порт AGENTIK_PORT (default 8080)
@@ -67,10 +68,12 @@ fun main(args: Array<String>) {
                 runPullModel(args.drop(1))
                 return
             }
+
             "--help", "-h", "help" -> {
                 printHelp()
                 return
             }
+
             else -> {
                 System.err.println("Unknown subcommand: ${args[0]}")
                 printHelp()
@@ -82,11 +85,13 @@ fun main(args: Array<String>) {
 }
 
 private fun printHelp() {
-    println("""
+    println(
+        """
         agentik standalone — usage:
           java -jar agentik.jar                  Start HTTP server (A2A + :proto)
           java -jar agentik.jar pull-model       Download the LiteRT-LM model from static.binom.pw
-    """.trimIndent())
+    """.trimIndent()
+    )
 }
 
 /**
@@ -245,6 +250,7 @@ private fun runServer() {
             println("  memory: disabled")
             null
         }
+
         MemoryBackend.MD -> {
             if (rawMemory.equals("off", ignoreCase = true)) {
                 println("  memory: disabled (memoryDir=off)")
@@ -256,6 +262,7 @@ private fun runServer() {
                 }
             }
         }
+
         MemoryBackend.VECTOR -> {
             val embedding: pw.binom.agentik.memory.TextEmbeddingExecutor = when (config.embedding.backend) {
                 AppConfig.EmbeddingBackend.HTTP -> {
@@ -274,6 +281,7 @@ private fun runServer() {
                         dimension = config.embedding.dimension,
                     ).asExecutor()
                 }
+
                 AppConfig.EmbeddingBackend.SIGLIP -> {
                     val modelPath = checkNotNull(config.embedding.modelPath) {
                         "AGENTIK_EMBEDDING_BACKEND=siglip требует AGENTIK_EMBEDDING_MODEL_PATH"
@@ -291,12 +299,14 @@ private fun runServer() {
                 val backendLabel = when (config.embedding.backend) {
                     AppConfig.EmbeddingBackend.HTTP ->
                         "model=${config.embedding.model}, dim=${config.embedding.dimension}"
+
                     AppConfig.EmbeddingBackend.SIGLIP ->
                         "model=siglip2-base (on-device), dim=${embedding.dimension}"
                 }
                 println("  memory: db=${config.agent.dbPath} (vector-backend, $backendLabel)")
             }
         }
+
         MemoryBackend.HYBRID -> {
             // Гибрид: .md файлы (single source of truth) + ksqlite vector-кэш.
             // Нужны embeddings (HTTP/SIGLIP) + путь к vector-БД (по умолчанию рядом с agentik.db).
@@ -314,6 +324,7 @@ private fun runServer() {
                         dimension = config.embedding.dimension,
                     ).asExecutor()
                 }
+
                 AppConfig.EmbeddingBackend.SIGLIP -> {
                     val modelPath = checkNotNull(config.embedding.modelPath) {
                         "AGENTIK_EMBEDDING_BACKEND=siglip требует AGENTIK_EMBEDDING_MODEL_PATH"