fix(memory): parse qmd vector status variants

CHANGELOG.md

@@ -68,6 +68,7 @@ Docs: https://docs.openclaw.ai
 - Ollama/onboarding: de-dupe suggested bare local models against installed `:latest` tags and skip redundant pulls, so setup shows the installed model once and no longer says it is downloading an already available model. Fixes #68952. Thanks @tleyden.
 - Memory-core/doctor: keep `doctor.memory.status` on the cached path by default and only run live embedding pings for explicit deep probes, preventing slow local embedding backends from blocking Gateway status checks. Fixes #71568. Thanks @apex-system.
 - Memory/QMD: group same-source collections into one QMD search invocation when the installed QMD supports multiple `-c` filters, while keeping older QMD builds on the per-collection fallback. Fixes #72484; supersedes #72485 and #69583. Thanks @BsnizND and @zeroaltitude.
+- Memory/QMD: accept QMD status vector-count variants such as `Vectors = 42`, `Vectors:42`, and `Vectors: 42 embedded`, so `memory status --deep` no longer reports embeddings unavailable for healthy QMD wrappers. Fixes #63652; carries forward #63678. Thanks @apoapostolov and @WarrenJones.
 - Memory/QMD: skip QMD vector status probes and embedding maintenance in lexical `searchMode: "search"`, so BM25-only QMD setups on ARM do not trigger llama.cpp/Vulkan builds during status checks or embed cycles. Fixes #59234 and #67113. Thanks @PrinceOfEgypt, @Vksh07, @Snipe76, @NomLom, @t4r3e2q1-commits, and @dmak.
 - Memory/QMD: report the live watcher dirty state in memory status, so changed QMD-backed memory files show as dirty until the queued sync finishes. Fixes #60244. Thanks @xinzf.
 - Compaction: skip oversized pre-compaction checkpoint snapshots and prune duplicate long user turns from compaction input and rotated successor transcripts, preventing retry storms from being preserved across checkpoint cycles. Fixes #72780. Thanks @SweetSophia.

extensions/memory-core/src/memory/qmd-manager.test.ts

@@ -4798,6 +4798,64 @@ describe("QmdMemoryManager", () => {
     await manager.close();
   });
 
+  it.each([
+    ["equals separator", "Documents: 12\nVectors = 42\n"],
+    ["tab separator", "Documents: 12\nVectors:\t42\n"],
+    ["compact separator", "Documents: 12\nVectors:42\n"],
+    ["embedded suffix", "Documents: 12\nVectors:  42 embedded\n"],
+  ])("reports vector availability as ready for qmd status %s", async (_name, statusOutput) => {
+    spawnMock.mockImplementation((_cmd: string, args: string[]) => {
+      if (args[0] === "status") {
+        const child = createMockChild({ autoClose: false });
+        emitAndClose(child, "stdout", statusOutput);
+        return child;
+      }
+      return createMockChild();
+    });
+
+    const { manager } = await createManager({
+      cfg: {
+        ...cfg,
+        memory: {
+          ...cfg.memory,
+          qmd: { ...cfg.memory?.qmd, searchMode: "query" },
+        },
+      } as OpenClawConfig,
+    });
+
+    await expect(manager.probeVectorAvailability()).resolves.toBe(true);
+    await manager.close();
+  });
+
+  it("does not parse unrelated qmd status vector-like fields", async () => {
+    spawnMock.mockImplementation((_cmd: string, args: string[]) => {
+      if (args[0] === "status") {
+        const child = createMockChild({ autoClose: false });
+        emitAndClose(child, "stdout", "Documents: 12\nMaxVectors: 42\nVector index: yes\n");
+        return child;
+      }
+      return createMockChild();
+    });
+
+    const { manager } = await createManager({
+      cfg: {
+        ...cfg,
+        memory: {
+          ...cfg.memory,
+          qmd: { ...cfg.memory?.qmd, searchMode: "query" },
+        },
+      } as OpenClawConfig,
+    });
+
+    await expect(manager.probeVectorAvailability()).resolves.toBe(false);
+    expect(manager.status().vector).toEqual({
+      enabled: true,
+      available: false,
+      loadError: "Could not determine QMD vector status from `qmd status`",
+    });
+    await manager.close();
+  });
+
   it("skips qmd status vector probes for lexical search mode", async () => {
     const { manager } = await createManager({
       cfg: {

extensions/memory-core/src/memory/qmd-manager.ts

@@ -154,12 +154,16 @@ function normalizeHanBm25Query(query: string): string {
 }
 
 function parseQmdStatusVectorCount(raw: string): number | null {
-  const match = raw.match(/(?:^|\n)\s*Vectors:\s*(\d+)\b/i);
-  if (!match) {
-    return null;
+  for (const line of raw.split(/\r?\n/)) {
+    const match = line.match(/^\s*Vectors(?:\s*[:=]\s*|\s+)(\d+)\b/i);
+    if (match?.[1]) {
+      const count = Number.parseInt(match[1], 10);
+      if (Number.isFinite(count)) {
+        return count;
+      }
+    }
   }
-  const count = Number.parseInt(match[1] ?? "", 10);
-  return Number.isFinite(count) ? count : null;
+  return null;
 }
 
 function resolveStableJitterMs(params: { seed: string; windowMs: number }): number {