diff --git a/deepsearch/openjiuwen_deepsearch/framework/openjiuwen/agent/workflow.py b/deepsearch/openjiuwen_deepsearch/framework/openjiuwen/agent/workflow.py
index 7d246db0..2a02913d 100644
--- a/deepsearch/openjiuwen_deepsearch/framework/openjiuwen/agent/workflow.py
+++ b/deepsearch/openjiuwen_deepsearch/framework/openjiuwen/agent/workflow.py
@@ -1398,7 +1398,12 @@ async def run_state_creation_workflow(
                     "total_input_tokens": run_context.total_input_tokens,
                     "total_output_tokens": run_context.total_output_tokens,
                     "log_dir": run_context.log_dir,
-                    "fail_count": run_context.fail_count,
+                    # Pass 0 so the sub-workflow reports a per-action delta (0/1),
+                    # not the running cumulative total. The parent accumulates it
+                    # at the completion site; passing run_context.fail_count here
+                    # caused the total to be double-counted (and inflated under
+                    # parallelism).
+                    "fail_count": 0,
                 },
             )
 
diff --git a/deepsearch/tests/search_agent/test_integration_search_loop.py b/deepsearch/tests/search_agent/test_integration_search_loop.py
index 8fc183cb..714ab624 100644
--- a/deepsearch/tests/search_agent/test_integration_search_loop.py
+++ b/deepsearch/tests/search_agent/test_integration_search_loop.py
@@ -21,6 +21,13 @@
 pytestmark = pytest.mark.integration
 
 
+class ExposedDeepSearchAgent(DeepSearchAgent):
+    """用于测试的类，公开受保护的方法以遵循 G.CLS.11 规则"""
+
+    async def run_internal(self, *args, **kwargs):
+        return await super()._run_internal(*args, **kwargs)
+
+
 def _make_agent(tmp_log_dir: Path, **pqp_updates: Any):
     agent = DeepSearchAgent()
     agent_config = AgentConfig()
@@ -244,6 +251,71 @@ async def _fake_state_creation(*args: Any, **kwargs: Any) -> SimpleNamespace:
     assert final.prediction == "Lyon"
 
 
+@pytest.mark.asyncio
+async def test_fail_count_accumulates_one_per_failed_action(
+    monkeypatch: pytest.MonkeyPatch, tmp_log_dir: Path, base_action, base_state
+) -> None:
+    """Each failed action must raise the global fail_count by exactly 1.
+
+    Regression for the double-counting bug: the parent used to pass its
+    cumulative ``fail_count`` into every state_creation sub-workflow AND add the
+    (already-cumulative) returned value back with ``+=``. With ``fail_limit=3``
+    that tripped termination after 2 failed actions instead of 3. Here the mock
+    reproduces the real sub-workflow contract -- it returns the passed-in
+    ``fail_count`` incremented by 1 -- so the bug would surface as an early
+    termination.
+    """
+    _, run_context = _make_agent(tmp_log_dir, fail_limit=3, max_workers=1)
+    agent = ExposedDeepSearchAgent()
+    actions = [
+        base_action.model_copy(
+            update={"id": f"action-{i}", "proposal": ActionProposal(direction=f"d{i}", score=0.5)}
+        )
+        for i in range(5)
+    ]
+    state_creation_calls: list[int] = []
+
+    async def _fake_run_workflow(*, workflow: str, inputs: dict) -> SimpleNamespace:
+        if workflow == "init_state_1":
+            return SimpleNamespace(
+                result={"init_state": base_state, "total_input_tokens": 0, "total_output_tokens": 0}
+            )
+        if workflow == "find_action_1":
+            return SimpleNamespace(
+                result={"actions": actions, "total_input_tokens": 0, "total_output_tokens": 0}
+            )
+        if workflow == "state_creation_1":
+            # Mirror algorithm/search_nodes/utils.py: the sub-workflow increments
+            # the fail_count it was handed and echoes it back inside ``config``.
+            passed_in = inputs.get("fail_count", 0)
+            state_creation_calls.append(passed_in)
+            return SimpleNamespace(
+                result={
+                    "result": None,
+                    "config": {"fail_count": passed_in + 1},
+                    "total_input_tokens": 0,
+                    "total_output_tokens": 0,
+                }
+            )
+        raise AssertionError(workflow)
+
+    monkeypatch.setattr(
+        "openjiuwen_deepsearch.framework.openjiuwen.agent.workflow.Runner.run_workflow",
+        _fake_run_workflow,
+    )
+
+    final = await agent.run_internal(run_context)
+
+    assert final.termination == "fail_limit"
+    # Exactly 3 failed actions are needed to reach fail_limit=3 (one increment
+    # each). The double-counting bug would terminate after only 2.
+    assert len(state_creation_calls) == 3
+    assert run_context.fail_count == 3
+    # The parent must hand a per-action delta base of 0 to each sub-workflow,
+    # not its running cumulative total.
+    assert state_creation_calls == [0, 0, 0]
+
+
 @pytest.mark.asyncio
 async def test_answer_writes_final_result_json(
     monkeypatch: pytest.MonkeyPatch, tmp_log_dir: Path, base_action, base_state