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diff --git a/docs/pyagentspec/source/agentspec_config_examples/howto_ag_ui.json b/docs/pyagentspec/source/agentspec_config_examples/howto_ag_ui.json
new file mode 100644
index 00000000..46fbd953
--- /dev/null
+++ b/docs/pyagentspec/source/agentspec_config_examples/howto_ag_ui.json
@@ -0,0 +1,43 @@
+{
+    "component_type": "Agent",
+    "id": "67ae0b68-53ab-458c-b8b7-43009ab81e34",
+    "name": "my_agent",
+    "description": null,
+    "metadata": {},
+    "inputs": [],
+    "outputs": [],
+    "llm_config": {
+        "component_type": "OpenAiCompatibleConfig",
+        "id": "c7dc111f-5c25-4aa0-8329-f6d44d578780",
+        "name": "my_llm",
+        "description": null,
+        "metadata": {},
+        "default_generation_parameters": null,
+        "url": "https://api.openai.com/v1",
+        "model_id": "gpt-4o"
+    },
+    "system_prompt": "Based on the weather forecaset result and the user input, write a response to the user",
+    "tools": [
+        {
+            "component_type": "ServerTool",
+            "id": "cd54932c-bda9-4021-aa12-110276bb86f3",
+            "name": "get_weather",
+            "description": "Get the weather for a given location.",
+            "metadata": {},
+            "inputs": [
+                {
+                    "description": "The location to get the weather forecast. Must be a city/town name.",
+                    "title": "location",
+                    "type": "string"
+                }
+            ],
+            "outputs": [
+                {
+                    "title": "weather_result",
+                    "type": "string"
+                }
+            ]
+        }
+    ],
+    "agentspec_version": "25.4.1"
+}
diff --git a/docs/pyagentspec/source/agentspec_config_examples/howto_ag_ui.yaml b/docs/pyagentspec/source/agentspec_config_examples/howto_ag_ui.yaml
new file mode 100644
index 00000000..3a19a6ef
--- /dev/null
+++ b/docs/pyagentspec/source/agentspec_config_examples/howto_ag_ui.yaml
@@ -0,0 +1,32 @@
+component_type: Agent
+id: 67ae0b68-53ab-458c-b8b7-43009ab81e34
+name: my_agent
+description: null
+metadata: {}
+inputs: []
+outputs: []
+llm_config:
+  component_type: OpenAiCompatibleConfig
+  id: c7dc111f-5c25-4aa0-8329-f6d44d578780
+  name: my_llm
+  description: null
+  metadata: {}
+  default_generation_parameters: null
+  url: https://api.openai.com/v1
+  model_id: gpt-4o
+system_prompt: Based on the weather forecaset result and the user input, write a response
+  to the user
+tools:
+- component_type: ServerTool
+  id: cd54932c-bda9-4021-aa12-110276bb86f3
+  name: get_weather
+  description: Get the weather for a given location.
+  metadata: {}
+  inputs:
+  - description: The location to get the weather forecast. Must be a city/town name.
+    title: location
+    type: string
+  outputs:
+  - title: weather_result
+    type: string
+agentspec_version: 25.4.1
diff --git a/docs/pyagentspec/source/code_examples/howto_ag_ui.py b/docs/pyagentspec/source/code_examples/howto_ag_ui.py
new file mode 100644
index 00000000..f941b3fc
--- /dev/null
+++ b/docs/pyagentspec/source/code_examples/howto_ag_ui.py
@@ -0,0 +1,126 @@
+# Copyright © 2025 Oracle and/or its affiliates.
+#
+# This software is under the Apache License 2.0
+# (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0) or Universal Permissive License
+# (UPL) 1.0 (LICENSE-UPL or https://oss.oracle.com/licenses/upl), at your option.
+
+# isort:skip_file
+# fmt: off
+# mypy: ignore-errors
+# docs-title: Code Example - How to Use AG-UI with Agent Spec
+
+exit() # agui integration not installed
+# .. start-##_Creating_the_agent
+import os
+from typing import Dict, Any
+
+import dotenv
+dotenv.load_dotenv()
+
+from pyagentspec.agent import Agent
+from pyagentspec.llms import OpenAiCompatibleConfig
+from pyagentspec.tools import ServerTool
+from pyagentspec.property import StringProperty
+from pyagentspec.serialization import AgentSpecSerializer
+
+def get_weather(location: str) -> Dict[str, Any]:
+    """
+    Get the weather for a given location.
+    """
+    import time
+    time.sleep(1)  # simulate tool execution
+    return {
+        "temperature": 20,
+        "conditions": "sunny",
+        "humidity": 50,
+        "wind_speed": 10,
+        "feelsLike": 25,
+    }
+
+tool_input_property = StringProperty(
+    title="location",
+    description="The location to get the weather forecast. Must be a city/town name."
+)
+weather_result_property = StringProperty(title="weather_result")
+
+weather_tool = ServerTool(
+    name="get_weather",
+    description="Get the weather for a given location.",
+    inputs=[tool_input_property],
+    outputs=[weather_result_property],
+)
+
+agent_llm = OpenAiCompatibleConfig(
+    name="my_llm",
+    model_id=os.environ.get("OPENAI_MODEL", "gpt-4o"),
+    url=os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1")
+)
+
+agent = Agent(
+    name="my_agent",
+    llm_config=agent_llm,
+    system_prompt="Based on the weather forecaset result and the user input, write a response to the user",
+    tools=[weather_tool],
+    human_in_the_loop=True,
+)
+
+backend_tool_rendering_agent_json = AgentSpecSerializer().to_json(agent)
+tool_registry = {"get_weather": get_weather}
+# .. end-##_Creating_the_agent
+# .. start-##_Creating_the_app
+import os
+import importlib.util
+import logging
+from fastapi import APIRouter, FastAPI
+
+from ag_ui_agentspec.agent import AgentSpecAgent
+from ag_ui_agentspec.endpoint import add_agentspec_fastapi_endpoint
+
+logger = logging.getLogger(__name__)
+router = APIRouter()
+
+
+def _is_available(module_name: str) -> bool:
+    return importlib.util.find_spec(module_name) is not None
+
+
+def _mount(router: APIRouter):
+    # LangGraph
+    if _is_available("langgraph"):
+        add_agentspec_fastapi_endpoint(
+            app=router,
+            agentspec_agent=AgentSpecAgent(
+                backend_tool_rendering_agent_json,
+                runtime="langgraph",
+                tool_registry=tool_registry,
+            ),
+            path="/langgraph/backend_tool_rendering",
+        )
+    else:
+        logger.info("LangGraph not available. Skipping LangGraph endpoints.")
+
+    # Wayflow
+    # The comment mentioned 'wayflowcore' specifically
+    if _is_available("wayflowcore"):
+        add_agentspec_fastapi_endpoint(
+            app=router,
+            agentspec_agent=AgentSpecAgent(
+                backend_tool_rendering_agent_json,
+                runtime="wayflow",
+                tool_registry=tool_registry,
+            ),
+            path="/wayflow/backend_tool_rendering",
+        )
+    else:
+        logger.info("Wayflow (wayflowcore) not available. Skipping Wayflow endpoints.")
+
+# Create the Web App
+
+app = FastAPI(title="Agent-Spec × AG-UI Examples")
+_mount(router)
+app.include_router(router)
+port = int(os.getenv("PORT", "9003"))
+# if __name__=="__main__":
+#     import uvicorn
+#     uvicorn.run("server:app", host="0.0.0.0", port=port, reload=True)
+# .. end-##_Creating_the_app
diff --git a/docs/pyagentspec/source/howtoguides/howto_ag_ui.rst b/docs/pyagentspec/source/howtoguides/howto_ag_ui.rst
new file mode 100644
index 00000000..bb4e4f65
--- /dev/null
+++ b/docs/pyagentspec/source/howtoguides/howto_ag_ui.rst
@@ -0,0 +1,139 @@
+================================
+How to Use AG-UI with Agent Spec
+================================
+
+
+`AG-UI <https://docs.ag-ui.com/>`_ is an open, event-based protocol and set of clients that connect agent backends to user interfaces for real-time, stateful, tool-aware experiences.
+
+With the Agent Spec x AG-UI integration, you can take a portable Agent Spec configuration (JSON) and interact with it in AG-UI frontends, while keeping your choice of runtime (LangGraph, WayFlow).
+The adapter bridges Agent Spec Tracing and AG-UI events so frontends receive standardized messages, tool activity, and UI state without bespoke wiring.
+
+In this guide, you will:
+
+- Configure an Agent Spec agent with a tool suitable for UI rendering
+- Expose AG-UI endpoints with FastAPI using the Agent Spec adapter
+- Run locally and connect an AG-UI client to any available runtime
+
+.. seealso::
+
+   See the starter template project building AI agents using Agent Spec and CopilotKit.
+
+   https://github.com/copilotkit/with-agent-spec
+
+
+.. image:: ../_static/howto/ag_ui_integration.jpg
+   :align: center
+   :scale: 20%
+   :alt: Agent Spec enables developers to switch between runtime frameworks when using AG-UI
+
+
+
+Prerequisites
+=============
+
+- Python 3.10 to 3.13
+
+Install the AG-UI Agent Spec integration from source:
+
+.. code-block:: bash
+
+    git clone git@github.com:ag-ui-protocol/ag-ui.git
+    cd ag-ui/integrations/agent-spec/python
+    pip install -e .
+
+This will install pyagentspec will the corresponding adapters for the different frameworks (LangGraph, WayFlow).
+
+
+Step 1. Configure your Agent
+============================
+
+Create an agent with a tool that the UI can render and confirm.
+The example includes a weather tool and enables human-in-the-loop
+so the UI can request approvals before executing tools.
+
+.. literalinclude:: ../code_examples/howto_ag_ui.py
+   :language: python
+   :start-after: .. start-##_Creating_the_agent
+   :end-before: .. end-##_Creating_the_agent
+
+This agent definition is exported to Agent Spec JSON and kept runtime-agnostic.
+The adapter will load it for any supported runtime.
+
+
+Here is what the **Agent Spec representation will look like ↓**
+
+.. collapse:: Click here to see the assistant configuration.
+
+   .. tabs::
+
+      .. tab:: JSON
+
+         .. literalinclude:: ../agentspec_config_examples/howto_ag_ui.json
+            :language: json
+
+      .. tab:: YAML
+
+         .. literalinclude:: ../agentspec_config_examples/howto_ag_ui.yaml
+            :language: yaml
+
+
+
+Step 2: Configure a FastAPI endpoint
+====================================
+
+Expose AG-UI endpoints with the Agent Spec adapter. The example auto-detects installed runtimes and mounts one endpoint per runtime:
+
+- ``/langgraph/backend_tool_rendering`` when ``langgraph`` is installed
+- ``/wayflow/backend_tool_rendering`` when ``wayflowcore`` is installed
+
+.. literalinclude:: ../code_examples/howto_ag_ui.py
+   :language: python
+   :start-after: .. start-##_Creating_the_app
+   :end-before: .. end-##_Creating_the_app
+
+Run locally with Uvicorn (development only):
+
+.. code-block:: bash
+
+    # If the app is in a module named "howto_ag_ui.py"
+    uvicorn howto_ag_ui:app --reload --port 8000
+
+
+.. important::
+
+    This setup is intended for prototyping. Do not expose these endpoints publicly without proper authentication, rate limiting, and CORS controls.
+
+
+Once the development server is running, navigate to your local AG-UI hosted website and
+you should see your Agent Spec + AG-UI + CopilotKit agents up and running.
+
+
+.. image:: ../_static/howto/ag_ui_screenshot.png
+   :align: center
+   :scale: 30%
+   :alt: Agent Spec with AG-UI Screenshot
+
+
+.. note::
+   The adapter maps Agent Spec Tracing spans/events to AG-UI events so frontends receive standardized messages and tool activity without extra glue code.
+
+
+Recap
+=====
+
+In this guide you:
+
+- Defined an Agent Spec agent with a UI-renderable tool and HITL enabled
+- Exposed AG-UI endpoints via FastAPI for all available runtimes
+- Ran the server locally and prepared to connect an AG-UI client
+
+
+Next steps
+==========
+
+Having learned how to connect Agent Spec agents to AG-UI, you may now proceed to:
+
+- :doc:`Specify the Generation Configuration when Using LLMs <howto_generation_config>`
+- :doc:`How to Develop an Agent with Remote Tools <howto_agent_with_remote_tools>`
+- :doc:`How to Execute Agent Spec Configuration with WayFlow <howto_execute_agentspec_with_wayflow>`
+- :doc:`How to Execute Agent Spec Across Frameworks <howto_execute_agentspec_across_frameworks>`
diff --git a/docs/pyagentspec/source/howtoguides/index.rst b/docs/pyagentspec/source/howtoguides/index.rst
index 00ba5d4f..0c27eae7 100644
--- a/docs/pyagentspec/source/howtoguides/index.rst
+++ b/docs/pyagentspec/source/howtoguides/index.rst
@@ -61,6 +61,20 @@ These guides demonstrate how to configure components in Agent Spec.
    Specify the Generation Configuration when Using LLMs <howto_generation_config>
    How to Use Disaggregated Config <howto_disaggregated_config>
 
+
+Ecosystem
+---------
+
+With expanding integrations and community partnerships, Agent Spec streamlines building, running, and monitoring agents across heterogeneous environments.
+
+For more information about the Agent Spec ecosystem, see :ref:`integrations <integrations>` and :ref:`collaborations <collaborations>`.
+
+.. toctree::
+   :maxdepth: 1
+
+   How to Use AG-UI with Agent Spec <howto_ag_ui>
+
+
 External Features
 -----------------