fix(memory): align auto checks and ollama fallback defaults

src/commands/doctor-memory-search.test.ts

@@ -235,6 +235,32 @@ describe("noteMemorySearchHealth", () => {
     const message = String(note.mock.calls[0]?.[0] ?? "");
     expect(message).toContain("openclaw configure --section model");
   });
+
+  it("still warns in auto mode when only ollama credentials exist", async () => {
+    resolveMemorySearchConfig.mockReturnValue({
+      provider: "auto",
+      local: {},
+      remote: {},
+    });
+    resolveApiKeyForProvider.mockImplementation(async ({ provider }: { provider: string }) => {
+      if (provider === "ollama") {
+        return {
+          apiKey: "ollama-local",
+          source: "env: OLLAMA_API_KEY",
+          mode: "api-key",
+        };
+      }
+      throw new Error("missing key");
+    });
+
+    await noteMemorySearchHealth(cfg);
+
+    expect(note).toHaveBeenCalledTimes(1);
+    const providersChecked = resolveApiKeyForProvider.mock.calls.map(
+      ([arg]: [{ provider: string }]) => arg.provider,
+    );
+    expect(providersChecked).toEqual(["openai", "google", "voyage", "mistral"]);
+  });
 });
 
 describe("detectLegacyWorkspaceDirs", () => {

src/commands/doctor-memory-search.ts

@@ -117,7 +117,7 @@ export async function noteMemorySearchHealth(
   if (hasLocalEmbeddings(resolved.local)) {
     return;
   }
-  for (const provider of ["openai", "gemini", "voyage", "mistral", "ollama"] as const) {
+  for (const provider of ["openai", "gemini", "voyage", "mistral"] as const) {
     if (hasRemoteApiKey || (await hasApiKeyForProvider(provider, cfg, agentDir))) {
       return;
     }

src/memory/embeddings-ollama.ts

@@ -14,7 +14,7 @@ export type OllamaEmbeddingClient = {
 };
 type OllamaEmbeddingClientConfig = Omit<OllamaEmbeddingClient, "embedBatch">;
 
-const DEFAULT_OLLAMA_EMBEDDING_MODEL = "nomic-embed-text";
+export const DEFAULT_OLLAMA_EMBEDDING_MODEL = "nomic-embed-text";
 const DEFAULT_OLLAMA_BASE_URL = "http://127.0.0.1:11434";
 
 function sanitizeAndNormalizeEmbedding(vec: number[]): number[] {

src/memory/manager-sync-ops.ts

@@ -13,6 +13,7 @@ import { onSessionTranscriptUpdate } from "../sessions/transcript-events.js";
 import { resolveUserPath } from "../utils.js";
 import { DEFAULT_GEMINI_EMBEDDING_MODEL } from "./embeddings-gemini.js";
 import { DEFAULT_MISTRAL_EMBEDDING_MODEL } from "./embeddings-mistral.js";
+import { DEFAULT_OLLAMA_EMBEDDING_MODEL } from "./embeddings-ollama.js";
 import { DEFAULT_OPENAI_EMBEDDING_MODEL } from "./embeddings-openai.js";
 import { DEFAULT_VOYAGE_EMBEDDING_MODEL } from "./embeddings-voyage.js";
 import {
@@ -980,7 +981,9 @@ export abstract class MemoryManagerSyncOps {
             ? DEFAULT_VOYAGE_EMBEDDING_MODEL
             : fallback === "mistral"
               ? DEFAULT_MISTRAL_EMBEDDING_MODEL
-              : this.settings.model;
+              : fallback === "ollama"
+                ? DEFAULT_OLLAMA_EMBEDDING_MODEL
+                : this.settings.model;
 
     const fallbackResult = await createEmbeddingProvider({
       config: this.cfg,

src/memory/manager.mistral-provider.test.ts

@@ -3,10 +3,12 @@ import os from "node:os";
 import path from "node:path";
 import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
 import type { OpenClawConfig } from "../config/config.js";
+import { DEFAULT_OLLAMA_EMBEDDING_MODEL } from "./embeddings-ollama.js";
 import type {
   EmbeddingProvider,
   EmbeddingProviderResult,
   MistralEmbeddingClient,
+  OllamaEmbeddingClient,
   OpenAiEmbeddingClient,
 } from "./embeddings.js";
 import { getMemorySearchManager, type MemoryIndexManager } from "./index.js";
@@ -36,7 +38,7 @@ function buildConfig(params: {
   workspaceDir: string;
   indexPath: string;
   provider: "openai" | "mistral";
-  fallback?: "none" | "mistral";
+  fallback?: "none" | "mistral" | "ollama";
 }): OpenClawConfig {
   return {
     agents: {
@@ -144,4 +146,51 @@ describe("memory manager mistral provider wiring", () => {
     expect(internal.openAi).toBeUndefined();
     expect(internal.mistral).toBe(mistralClient);
   });
+
+  it("uses default ollama model when activating ollama fallback", async () => {
+    const openAiClient: OpenAiEmbeddingClient = {
+      baseUrl: "https://api.openai.com/v1",
+      headers: { authorization: "Bearer openai-key" },
+      model: "text-embedding-3-small",
+    };
+    const ollamaClient: OllamaEmbeddingClient = {
+      baseUrl: "http://127.0.0.1:11434",
+      headers: {},
+      model: DEFAULT_OLLAMA_EMBEDDING_MODEL,
+      embedBatch: async (texts: string[]) => texts.map(() => [0.1, 0.2, 0.3]),
+    };
+    createEmbeddingProviderMock.mockResolvedValueOnce({
+      requestedProvider: "openai",
+      provider: createProvider("openai"),
+      openAi: openAiClient,
+    } as EmbeddingProviderResult);
+    createEmbeddingProviderMock.mockResolvedValueOnce({
+      requestedProvider: "ollama",
+      provider: createProvider("ollama"),
+      ollama: ollamaClient,
+    } as EmbeddingProviderResult);
+
+    const cfg = buildConfig({ workspaceDir, indexPath, provider: "openai", fallback: "ollama" });
+    const result = await getMemorySearchManager({ cfg, agentId: "main" });
+    if (!result.manager) {
+      throw new Error(`manager missing: ${result.error ?? "no error provided"}`);
+    }
+    manager = result.manager as unknown as MemoryIndexManager;
+    const internal = manager as unknown as {
+      activateFallbackProvider: (reason: string) => Promise<boolean>;
+      openAi?: OpenAiEmbeddingClient;
+      ollama?: OllamaEmbeddingClient;
+    };
+
+    const activated = await internal.activateFallbackProvider("forced ollama fallback");
+    expect(activated).toBe(true);
+    expect(internal.openAi).toBeUndefined();
+    expect(internal.ollama).toBe(ollamaClient);
+
+    const fallbackCall = createEmbeddingProviderMock.mock.calls[1]?.[0] as
+      | { provider?: string; model?: string }
+      | undefined;
+    expect(fallbackCall?.provider).toBe("ollama");
+    expect(fallbackCall?.model).toBe(DEFAULT_OLLAMA_EMBEDDING_MODEL);
+  });
 });