diff --git a/apps/memos-local-openclaw/src/ingest/providers/openai.ts b/apps/memos-local-openclaw/src/ingest/providers/openai.ts
index 825e2131d..60f878e4c 100644
--- a/apps/memos-local-openclaw/src/ingest/providers/openai.ts
+++ b/apps/memos-local-openclaw/src/ingest/providers/openai.ts
@@ -233,7 +233,14 @@ export async function judgeNewTopicOpenAI(
     body: JSON.stringify(buildRequestBody(cfg, {
       model,
       temperature: 0,
-      max_tokens: 10,
+      // NOTE: must stay >= 60. MiniMax's gateway (api.minimaxi.com) rejects
+      // chat-completion requests with very small max_tokens (e.g. 10) by
+      // returning an HTML 404 page before the request ever reaches the
+      // model. 60 matches classifyTopicOpenAI below — already proven to
+      // work against MiniMax-M2.7-highspeed — and is plenty for a one-word
+      // NEW/SAME reply plus any reasoning preamble the model may emit.
+      // See issue #1315.
+      max_tokens: 60,
       messages: [
         { role: "system", content: TOPIC_JUDGE_PROMPT },
         { role: "user", content: userContent },
@@ -336,7 +343,9 @@ export async function arbitrateTopicSplitOpenAI(
     body: JSON.stringify(buildRequestBody(cfg, {
       model,
       temperature: 0,
-      max_tokens: 10,
+      // NOTE: must stay >= 60. See note in judgeNewTopicOpenAI above —
+      // MiniMax's gateway returns HTML 404 for max_tokens: 10. Issue #1315.
+      max_tokens: 60,
       messages: [
         { role: "system", content: TOPIC_ARBITRATION_PROMPT },
         { role: "user", content: userContent },
diff --git a/apps/memos-local-openclaw/tests/topic-judge-minimax-1315.test.ts b/apps/memos-local-openclaw/tests/topic-judge-minimax-1315.test.ts
new file mode 100644
index 000000000..afd4ac750
--- /dev/null
+++ b/apps/memos-local-openclaw/tests/topic-judge-minimax-1315.test.ts
@@ -0,0 +1,132 @@
+/**
+ * Regression test for issue #1315:
+ * Topic Judge 100% failure rate against MiniMax (api.minimaxi.com) because
+ * judgeNewTopicOpenAI / arbitrateTopicSplitOpenAI request max_tokens: 10,
+ * which MiniMax's gateway rejects with an HTML 404 page.
+ *
+ * The fix raises the minimum to 60 (matching classifyTopicOpenAI in the same
+ * file, which is already proven to work against MiniMax). These tests assert
+ * the on-the-wire request body uses at least 60 max_tokens for the two
+ * affected helpers; if anyone lowers them back to 10 the tests fail.
+ */
+import { describe, it, expect, beforeEach, afterEach, vi } from "vitest";
+import {
+  judgeNewTopicOpenAI,
+  arbitrateTopicSplitOpenAI,
+  classifyTopicOpenAI,
+  filterRelevantOpenAI,
+  judgeDedupOpenAI,
+  summarizeOpenAI,
+} from "../src/ingest/providers/openai";
+import type { SummarizerConfig, Logger } from "../src/types";
+
+const silentLog: Logger = {
+  debug: () => {},
+  info: () => {},
+  warn: () => {},
+  error: () => {},
+};
+
+const minimaxCfg: SummarizerConfig = {
+  provider: "openai_compatible",
+  model: "MiniMax-M2.7-highspeed",
+  endpoint: "https://api.minimaxi.com/v1",
+  apiKey: "test-key",
+};
+
+interface CapturedRequest {
+  url: string;
+  body: Record<string, unknown>;
+}
+
+/**
+ * Replace global.fetch with a recorder that returns a canned successful
+ * completion. Returns the captured-requests array so tests can assert on
+ * url / body / max_tokens.
+ */
+function installFetchRecorder(replyContent: string): CapturedRequest[] {
+  const captured: CapturedRequest[] = [];
+  const fakeFetch = vi.fn(async (url: string | URL, init?: RequestInit) => {
+    const body = init?.body ? JSON.parse(init.body as string) : {};
+    captured.push({ url: String(url), body });
+    return new Response(
+      JSON.stringify({
+        choices: [{ message: { content: replyContent } }],
+      }),
+      { status: 200, headers: { "Content-Type": "application/json" } },
+    );
+  });
+  vi.stubGlobal("fetch", fakeFetch);
+  return captured;
+}
+
+describe("openai topic-judge max_tokens regression (issue #1315)", () => {
+  beforeEach(() => {
+    vi.restoreAllMocks();
+    vi.unstubAllGlobals();
+  });
+
+  afterEach(() => {
+    vi.unstubAllGlobals();
+  });
+
+  it("judgeNewTopicOpenAI sends max_tokens >= 60 (MiniMax rejects max_tokens: 10 with HTML 404)", async () => {
+    const captured = installFetchRecorder("SAME");
+
+    await judgeNewTopicOpenAI("current task context", "new user message", minimaxCfg, silentLog);
+
+    expect(captured).toHaveLength(1);
+    expect(captured[0].url).toBe("https://api.minimaxi.com/v1/chat/completions");
+    const maxTokens = captured[0].body.max_tokens as number;
+    expect(maxTokens).toBeGreaterThanOrEqual(60);
+  });
+
+  it("arbitrateTopicSplitOpenAI sends max_tokens >= 60 (same MiniMax 404 gateway behaviour)", async () => {
+    const captured = installFetchRecorder("NEW");
+
+    await arbitrateTopicSplitOpenAI("task state", "new message", minimaxCfg, silentLog);
+
+    expect(captured).toHaveLength(1);
+    expect(captured[0].url).toBe("https://api.minimaxi.com/v1/chat/completions");
+    const maxTokens = captured[0].body.max_tokens as number;
+    expect(maxTokens).toBeGreaterThanOrEqual(60);
+  });
+
+  it("judgeNewTopicOpenAI still parses single-word NEW / SAME replies after the bump", async () => {
+    installFetchRecorder("NEW");
+    const isNew = await judgeNewTopicOpenAI("ctx", "msg", minimaxCfg, silentLog);
+    expect(isNew).toBe(true);
+
+    installFetchRecorder("SAME");
+    const isSame = await judgeNewTopicOpenAI("ctx", "msg", minimaxCfg, silentLog);
+    expect(isSame).toBe(false);
+  });
+
+  it("arbitrateTopicSplitOpenAI still normalises replies to NEW or SAME after the bump", async () => {
+    installFetchRecorder("NEW\n");
+    expect(await arbitrateTopicSplitOpenAI("task", "msg", minimaxCfg, silentLog)).toBe("NEW");
+
+    installFetchRecorder("same");
+    expect(await arbitrateTopicSplitOpenAI("task", "msg", minimaxCfg, silentLog)).toBe("SAME");
+  });
+
+  it("other openai helpers keep their existing max_tokens limits (no regression on healthy callers)", async () => {
+    const a = installFetchRecorder("60");
+    await classifyTopicOpenAI("task", "msg", minimaxCfg, silentLog);
+    // classifyTopic was already 60 — should remain at least 60.
+    expect(a[0].body.max_tokens as number).toBeGreaterThanOrEqual(60);
+
+    const b = installFetchRecorder('{"relevant":[],"sufficient":false}');
+    await filterRelevantOpenAI("q", [{ index: 1, role: "user", content: "c" }], minimaxCfg, silentLog);
+    expect(b[0].body.max_tokens as number).toBeGreaterThanOrEqual(200);
+
+    const c = installFetchRecorder('{"action":"NEW","reason":""}');
+    await judgeDedupOpenAI("new", [{ index: 1, summary: "s", chunkId: "x" }], minimaxCfg, silentLog);
+    expect(c[0].body.max_tokens as number).toBeGreaterThanOrEqual(300);
+
+    const d = installFetchRecorder("hello world summary");
+    await summarizeOpenAI("input text", minimaxCfg, silentLog);
+    // summarize does not set max_tokens (server default) — assert the field is absent / unset.
+    expect(d[0].body.max_tokens).toBeUndefined();
+  });
+});