diff --git a/src/app.rs b/src/app.rs
index e13b48c8..d273df41 100644
--- a/src/app.rs
+++ b/src/app.rs
@@ -368,21 +368,6 @@ impl AppBuilder {
             .embeddings
             .create_provider(&self.config.llm.nearai.base_url, self.session.clone());
 
-        // Warn if libSQL backend is used with non-1536 embedding dimension.
-        if self.config.database.backend == crate::config::DatabaseBackend::LibSql
-            && self.config.embeddings.enabled
-            && self.config.embeddings.dimension != 1536
-        {
-            tracing::warn!(
-                configured_dimension = self.config.embeddings.dimension,
-                "Embedding dimension {} is not 1536. The libSQL schema uses \
-                 F32_BLOB(1536) which requires exactly 1536 dimensions. \
-                 Embedding storage will fail. Use PostgreSQL or set \
-                 EMBEDDING_DIMENSION=1536.",
-                self.config.embeddings.dimension
-            );
-        }
-
         // Register memory tools if database is available
         let workspace = if let Some(ref db) = self.db {
             let mut ws = Workspace::new_with_db("default", db.clone());
diff --git a/src/db/libsql/mod.rs b/src/db/libsql/mod.rs
index ceae5725..0a813072 100644
--- a/src/db/libsql/mod.rs
+++ b/src/db/libsql/mod.rs
@@ -292,6 +292,8 @@ impl Database for LibSqlBackend {
         conn.execute_batch(libsql_migrations::SCHEMA)
             .await
             .map_err(|e| DatabaseError::Migration(format!("libSQL migration failed: {}", e)))?;
+        // Apply incremental migrations (V9+) tracked in _migrations table.
+        libsql_migrations::run_incremental(&conn).await?;
         Ok(())
     }
 }
diff --git a/src/db/libsql/workspace.rs b/src/db/libsql/workspace.rs
index 0493d277..19000404 100644
--- a/src/db/libsql/workspace.rs
+++ b/src/db/libsql/workspace.rs
@@ -561,7 +561,10 @@ impl WorkspaceStore for LibSqlBackend {
                     .join(",")
             );
 
-            let mut rows = conn
+            // vector_top_k requires a libsql_vector_idx index. After the V9
+            // migration the index is dropped (to support flexible embedding
+            // dimensions), so this query may fail. Fall back to FTS-only.
+            match conn
                 .query(
                     r#"
                     SELECT c.id, c.document_id, d.path, c.content
@@ -573,27 +576,34 @@ impl WorkspaceStore for LibSqlBackend {
                     params![vector_json, pre_limit, user_id, agent_id_str.as_deref()],
                 )
                 .await
-                .map_err(|e| WorkspaceError::SearchFailed {
-                    reason: format!("Vector query failed: {}", e),
-                })?;
-
-            let mut results = Vec::new();
-            while let Some(row) = rows
-                .next()
-                .await
-                .map_err(|e| WorkspaceError::SearchFailed {
-                    reason: format!("Vector row fetch failed: {}", e),
-                })?
             {
-                results.push(RankedResult {
-                    chunk_id: get_text(&row, 0).parse().unwrap_or_default(),
-                    document_id: get_text(&row, 1).parse().unwrap_or_default(),
-                    document_path: get_text(&row, 2),
-                    content: get_text(&row, 3),
-                    rank: results.len() as u32 + 1,
-                });
+                Ok(mut rows) => {
+                    let mut results = Vec::new();
+                    while let Some(row) =
+                        rows.next()
+                            .await
+                            .map_err(|e| WorkspaceError::SearchFailed {
+                                reason: format!("Vector row fetch failed: {}", e),
+                            })?
+                    {
+                        results.push(RankedResult {
+                            chunk_id: get_text(&row, 0).parse().unwrap_or_default(),
+                            document_id: get_text(&row, 1).parse().unwrap_or_default(),
+                            document_path: get_text(&row, 2),
+                            content: get_text(&row, 3),
+                            rank: results.len() as u32 + 1,
+                        });
+                    }
+                    results
+                }
+                Err(e) => {
+                    tracing::debug!(
+                        "Vector index query failed (expected after V9 migration), \
+                         falling back to FTS-only: {e}"
+                    );
+                    Vec::new()
+                }
             }
-            results
         } else {
             Vec::new()
         };
diff --git a/src/db/libsql_migrations.rs b/src/db/libsql_migrations.rs
index 6117e8ae..3006d61e 100644
--- a/src/db/libsql_migrations.rs
+++ b/src/db/libsql_migrations.rs
@@ -2,6 +2,9 @@
 //!
 //! Consolidates all PostgreSQL migrations (V1-V8) into a single SQLite-compatible
 //! schema. Run once on database creation; idempotent via `IF NOT EXISTS`.
+//!
+//! Incremental migrations (V9+) are tracked in the `_migrations` table and run
+//! exactly once per database, in version order.
 
 /// Consolidated schema for libSQL.
 ///
@@ -12,7 +15,7 @@
 /// - `BYTEA` -> `BLOB`
 /// - `NUMERIC` -> `TEXT` (preserve precision for rust_decimal)
 /// - `TEXT[]` -> `TEXT` (JSON array)
-/// - `VECTOR(1536)` -> `F32_BLOB(1536)` (libsql native)
+/// - `VECTOR` -> `BLOB` (raw little-endian F32 bytes, any dimension)
 /// - `TSVECTOR` -> FTS5 virtual table
 /// - `BIGSERIAL` -> `INTEGER PRIMARY KEY AUTOINCREMENT`
 /// - PL/pgSQL functions -> SQLite triggers
@@ -221,16 +224,16 @@ CREATE TABLE IF NOT EXISTS memory_chunks (
     document_id TEXT NOT NULL REFERENCES memory_documents(id) ON DELETE CASCADE,
     chunk_index INTEGER NOT NULL,
     content TEXT NOT NULL,
-    embedding F32_BLOB(1536),
+    embedding BLOB,
     created_at TEXT NOT NULL DEFAULT (datetime('now')),
     UNIQUE (document_id, chunk_index)
 );
 
 CREATE INDEX IF NOT EXISTS idx_memory_chunks_document ON memory_chunks(document_id);
 
--- Vector index for semantic search (libSQL native)
-CREATE INDEX IF NOT EXISTS idx_memory_chunks_embedding
-    ON memory_chunks (libsql_vector_idx(embedding));
+-- No vector index: BLOB column accepts any embedding dimension.
+-- Vector search uses brute-force cosine distance (fast enough for
+-- personal assistant workspaces). Matches PostgreSQL after V9 migration.
 
 -- FTS5 virtual table for full-text search
 CREATE VIRTUAL TABLE IF NOT EXISTS memory_chunks_fts USING fts5(
@@ -566,3 +569,132 @@ INSERT OR IGNORE INTO leak_detection_patterns (id, name, pattern, severity, acti
     ('550e8400-e29b-41d4-a716-446655440012', 'high_entropy_hex', '(?<![a-fA-F0-9])[a-fA-F0-9]{64}(?![a-fA-F0-9])', 'medium', 'warn', 1, datetime('now'));
 
 "#;
+
+/// Incremental migrations applied after the base schema.
+///
+/// Each entry is `(version, name, sql)`. Migrations are idempotent: the
+/// `_migrations` table tracks which versions have been applied.
+pub const INCREMENTAL_MIGRATIONS: &[(i64, &str, &str)] = &[(
+    9,
+    "flexible_embedding_dimension",
+    // Rebuild memory_chunks to remove the fixed F32_BLOB(1536) type
+    // constraint so any embedding dimension works. Existing embeddings
+    // are preserved; users only need to re-embed if they change models.
+    //
+    // The vector index (libsql_vector_idx) requires a fixed-dimension
+    // F32_BLOB(N), so we drop it entirely. Vector search falls back to
+    // brute-force cosine distance which is fast enough for personal
+    // assistant workspaces. This matches PostgreSQL after its V9 migration.
+    //
+    // SQLite cannot ALTER COLUMN types, so we recreate the table.
+    r#"
+-- Drop vector index (requires fixed F32_BLOB(N), incompatible with flexible dimensions)
+DROP INDEX IF EXISTS idx_memory_chunks_embedding;
+
+-- Drop FTS triggers that reference the old table
+DROP TRIGGER IF EXISTS memory_chunks_fts_insert;
+DROP TRIGGER IF EXISTS memory_chunks_fts_delete;
+DROP TRIGGER IF EXISTS memory_chunks_fts_update;
+
+-- Recreate table with flexible BLOB column (any embedding dimension)
+CREATE TABLE IF NOT EXISTS memory_chunks_new (
+    _rowid INTEGER PRIMARY KEY AUTOINCREMENT,
+    id TEXT NOT NULL UNIQUE,
+    document_id TEXT NOT NULL REFERENCES memory_documents(id) ON DELETE CASCADE,
+    chunk_index INTEGER NOT NULL,
+    content TEXT NOT NULL,
+    embedding BLOB,
+    created_at TEXT NOT NULL DEFAULT (datetime('now')),
+    UNIQUE (document_id, chunk_index)
+);
+
+-- Copy all existing data (embeddings preserved as-is)
+INSERT OR IGNORE INTO memory_chunks_new (_rowid, id, document_id, chunk_index, content, embedding, created_at)
+    SELECT _rowid, id, document_id, chunk_index, content, embedding, created_at FROM memory_chunks;
+
+-- Swap tables
+DROP TABLE memory_chunks;
+ALTER TABLE memory_chunks_new RENAME TO memory_chunks;
+
+-- Recreate indexes (no vector index — see comment above)
+CREATE INDEX IF NOT EXISTS idx_memory_chunks_document ON memory_chunks(document_id);
+
+-- Recreate FTS triggers
+CREATE TRIGGER IF NOT EXISTS memory_chunks_fts_insert AFTER INSERT ON memory_chunks BEGIN
+    INSERT INTO memory_chunks_fts(rowid, content) VALUES (new._rowid, new.content);
+END;
+
+CREATE TRIGGER IF NOT EXISTS memory_chunks_fts_delete AFTER DELETE ON memory_chunks BEGIN
+    INSERT INTO memory_chunks_fts(memory_chunks_fts, rowid, content)
+        VALUES ('delete', old._rowid, old.content);
+END;
+
+CREATE TRIGGER IF NOT EXISTS memory_chunks_fts_update AFTER UPDATE ON memory_chunks BEGIN
+    INSERT INTO memory_chunks_fts(memory_chunks_fts, rowid, content)
+        VALUES ('delete', old._rowid, old.content);
+    INSERT INTO memory_chunks_fts(rowid, content) VALUES (new._rowid, new.content);
+END;
+"#,
+)];
+
+/// Run incremental migrations that haven't been applied yet.
+///
+/// Each migration is wrapped in a transaction. On success the version is
+/// recorded in `_migrations` so it won't run again.
+pub async fn run_incremental(conn: &libsql::Connection) -> Result<(), crate::error::DatabaseError> {
+    use crate::error::DatabaseError;
+
+    for &(version, name, sql) in INCREMENTAL_MIGRATIONS {
+        // Check if already applied
+        let mut rows = conn
+            .query(
+                "SELECT 1 FROM _migrations WHERE version = ?1",
+                libsql::params![version],
+            )
+            .await
+            .map_err(|e| {
+                DatabaseError::Migration(format!("Failed to check migration {version}: {e}"))
+            })?;
+
+        if rows.next().await.ok().flatten().is_some() {
+            continue; // Already applied
+        }
+
+        tracing::info!(version, name, "libSQL: applying incremental migration");
+
+        // Wrap migration + recording in a transaction for atomicity.
+        // If the process crashes mid-migration, the transaction rolls back
+        // and the migration will be retried on next startup.
+        let tx = conn.transaction().await.map_err(|e| {
+            DatabaseError::Migration(format!(
+                "libSQL migration V{version}: failed to start transaction: {e}"
+            ))
+        })?;
+
+        tx.execute_batch(sql).await.map_err(|e| {
+            DatabaseError::Migration(format!("libSQL migration V{version} ({name}) failed: {e}"))
+        })?;
+
+        // Record as applied (inside the same transaction)
+        tx.execute(
+            "INSERT INTO _migrations (version, name) VALUES (?1, ?2)",
+            libsql::params![version, name],
+        )
+        .await
+        .map_err(|e| {
+            DatabaseError::Migration(format!(
+                "Failed to record migration V{version} ({name}): {e}"
+            ))
+        })?;
+
+        tx.commit().await.map_err(|e| {
+            DatabaseError::Migration(format!(
+                "libSQL migration V{version} ({name}): commit failed: {e}"
+            ))
+        })?;
+
+        tracing::info!(version, name, "libSQL: migration applied successfully");
+    }
+
+    Ok(())
+}
diff --git a/src/main.rs b/src/main.rs
index 84d12912..88e196cb 100644
--- a/src/main.rs
+++ b/src/main.rs
@@ -748,21 +748,6 @@ async fn run_memory_command(mem_cmd: &ironclaw::cli::MemoryCommand) -> anyhow::R
         .embeddings
         .create_provider(&config.llm.nearai.base_url, session);
 
-    // Warn if libSQL backend is used with non-1536 embedding dimension.
-    if config.database.backend == ironclaw::config::DatabaseBackend::LibSql
-        && config.embeddings.enabled
-        && config.embeddings.dimension != 1536
-    {
-        tracing::warn!(
-            configured_dimension = config.embeddings.dimension,
-            "Embedding dimension {} is not 1536. The libSQL schema uses \
-             F32_BLOB(1536) which requires exactly 1536 dimensions. \
-             Embedding storage will fail. Use PostgreSQL or set \
-             EMBEDDING_DIMENSION=1536.",
-            config.embeddings.dimension
-        );
-    }
-
     let db: Arc<dyn ironclaw::db::Database> = ironclaw::db::connect_from_config(&config.database)
         .await
         .map_err(|e| anyhow::anyhow!("{}", e))?;