diff --git a/examples/agno/python/.env.template b/examples/agno/python/.env.template
new file mode 100644
index 00000000..0cd2e28b
--- /dev/null
+++ b/examples/agno/python/.env.template
@@ -0,0 +1,25 @@
+# Honcho Agno Integration Environment Variables
+# Copy this file to .env and fill in the appropriate values
+
+# =============================================================================
+# OpenAI Settings (for Agno agent)
+# =============================================================================
+# OpenAI API key - supports both naming conventions
+OPENAI_API_KEY=your-openai-api-key-here
+# LLM_OPENAI_API_KEY=your-openai-api-key-here  # Alternative name
+
+# OpenAI model to use (default: gpt-4o)
+# OPENAI_MODEL=gpt-4o
+
+# =============================================================================
+# Honcho Settings
+# =============================================================================
+# Environment: 'local' or 'production' (default: production)
+# Use 'local' for development with local Honcho server at localhost:8000
+HONCHO_ENVIRONMENT=local
+
+# API key for production Honcho (required if HONCHO_ENVIRONMENT=production)
+# HONCHO_API_KEY=your-honcho-api-key-here
+
+# Workspace ID (optional, defaults to 'default')
+# HONCHO_WORKSPACE_ID=my-workspace
diff --git a/examples/agno/python/LICENSE b/examples/agno/python/LICENSE
new file mode 100644
index 00000000..0ad25db4
--- /dev/null
+++ b/examples/agno/python/LICENSE
@@ -0,0 +1,661 @@
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+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.
diff --git a/examples/agno/python/README.md b/examples/agno/python/README.md
new file mode 100644
index 00000000..43e13100
--- /dev/null
+++ b/examples/agno/python/README.md
@@ -0,0 +1,163 @@
+# Honcho Agno Integration
+
+Give your [Agno](https://agno.com) agents persistent memory with [Honcho](https://honcho.dev).
+
+## Installation
+
+```bash
+pip install honcho-agno
+```
+
+Or with uv:
+
+```bash
+uv add honcho-agno
+```
+
+## Quick Start
+
+```python
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+from honcho_agno import HonchoTools
+
+# Create Honcho tools with user context
+honcho_tools = HonchoTools(
+    app_id="my-app",
+    user_id="user-123",
+)
+
+# Create an agent with memory
+agent = Agent(
+    name="Memory Agent",
+    model=OpenAIChat(id="gpt-4o"),
+    tools=[honcho_tools],
+    description="An assistant with persistent memory powered by Honcho.",
+)
+
+# The agent can now use memory tools
+response = agent.run("Remember that I prefer Python over JavaScript")
+```
+
+## Features
+
+The `HonchoTools` toolkit provides four memory tools:
+
+| Tool | Description |
+|------|-------------|
+| `add_message` | Store messages in the session for future recall |
+| `get_context` | Retrieve conversation context within token limits |
+| `search_messages` | Semantic search through past messages |
+| `query_user` | Query the dialectic API for user insights |
+
+## Configuration
+
+### Basic Configuration
+
+```python
+from honcho_agno import HonchoTools
+
+tools = HonchoTools(
+    app_id="my-app",           # Workspace/application identifier
+    user_id="user-123",        # User identifier
+    session_id="session-456",  # Optional: specific session ID
+)
+```
+
+### With API Key
+
+```python
+tools = HonchoTools(
+    app_id="my-app",
+    user_id="user-123",
+    api_key="your-api-key",
+    base_url="https://api.honcho.dev",  # Optional: custom endpoint
+)
+```
+
+### Environment Variables
+
+Copy `.env.template` to `.env` and configure:
+
+**Honcho Settings:**
+
+- `HONCHO_ENVIRONMENT`: `local` or `production` (default: production)
+- `HONCHO_API_KEY`: API key for production environment
+- `HONCHO_WORKSPACE_ID`: Default workspace ID
+
+**OpenAI Settings (for examples):**
+
+- `OPENAI_API_KEY` or `LLM_OPENAI_API_KEY`: OpenAI API key
+- `OPENAI_MODEL`: Model to use (default: gpt-4o)
+
+## Tool Details
+
+### add_message
+
+Store a message in the current session.
+
+```python
+# The agent can call this tool to save information
+result = honcho_tools.add_message(
+    content="User prefers dark mode",
+    role="user"  # or "assistant"
+)
+```
+
+### get_context
+
+Retrieve recent conversation context.
+
+```python
+context = honcho_tools.get_context(
+    tokens=2000,           # Max tokens to include
+    include_summary=True,  # Include session summary
+)
+```
+
+### search_messages
+
+Search through past messages semantically.
+
+```python
+results = honcho_tools.search_messages(
+    query="programming preferences",
+    limit=10,
+)
+```
+
+### query_user
+
+Ask questions about the user via the dialectic API.
+
+```python
+insights = honcho_tools.query_user(
+    query="What programming languages does the user prefer?"
+)
+```
+
+## Examples
+
+See the [examples](./examples) directory for complete working examples:
+
+- `simple_example.py`: Basic usage with HonchoTools
+- `multi_tool_example.py`: Using all tools together
+
+## Development
+
+### Setup
+
+```bash
+cd examples/agno/python
+uv sync
+```
+
+### Run Tests
+
+```bash
+uv run pytest
+```
+
+## License
+
+AGPL-3.0-or-later
diff --git a/examples/agno/python/examples/multi_tool_example.py b/examples/agno/python/examples/multi_tool_example.py
new file mode 100644
index 00000000..fd09800f
--- /dev/null
+++ b/examples/agno/python/examples/multi_tool_example.py
@@ -0,0 +1,105 @@
+"""
+Honcho Multi-Tool Example
+
+Demonstrates using all Honcho tools with an Agno agent:
+- add_message: Store conversation history
+- get_context: Retrieve session context
+- search_messages: Semantic search
+- query_user: Dialectic API queries
+
+Environment Variables:
+    OPENAI_API_KEY or LLM_OPENAI_API_KEY: OpenAI API key
+    OPENAI_MODEL: Model to use (default: gpt-4o)
+    HONCHO_ENVIRONMENT: 'local' or 'production' (default: production)
+    HONCHO_API_KEY: Required for production environment
+"""
+
+import os
+
+from dotenv import load_dotenv
+
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+
+from honcho_agno import HonchoTools
+
+load_dotenv()
+
+# Support both OPENAI_API_KEY and LLM_OPENAI_API_KEY
+if not os.getenv("OPENAI_API_KEY") and os.getenv("LLM_OPENAI_API_KEY"):
+    os.environ["OPENAI_API_KEY"] = os.getenv("LLM_OPENAI_API_KEY")
+
+
+def main():
+    print("=" * 70)
+    print("HONCHO TOOLS + AGNO EXAMPLE")
+    print("=" * 70 + "\n")
+
+    # Get environment settings
+    honcho_env = os.getenv("HONCHO_ENVIRONMENT", "production")
+
+    # Setup Honcho tools with a specific session
+    honcho_tools = HonchoTools(
+        app_id="travel-app",
+        user_id="traveler-42",
+        session_id="trip-planning-session",
+        environment=honcho_env,
+    )
+
+    # Pre-populate with travel preferences
+    print("Adding travel preferences to memory...")
+    messages = [
+        "I'm planning a trip to Japan in March",
+        "I love trying authentic local cuisine",
+        "My budget is around $3000 for 10 days",
+        "I prefer ryokans over hotels",
+        "I'm interested in both traditional temples and modern Tokyo",
+    ]
+
+    for msg in messages:
+        result = honcho_tools.add_message(msg, role="user")
+        print(f"  Added: {msg[:50]}...")
+
+    print("\n" + "-" * 70 + "\n")
+
+    # Create travel planning agent with memory tools
+    agent = Agent(
+        name="Travel Planner",
+        model=OpenAIChat(id=os.getenv("OPENAI_MODEL", "gpt-4o")),
+        tools=[honcho_tools],
+        description=(
+            "A travel planning expert with access to memory tools. "
+            "Use get_context for recent conversation, search_messages to find "
+            "specific preferences, and query_user to understand the traveler."
+        ),
+        instructions=[
+            "Always retrieve relevant context before making recommendations",
+            "Use search to find specific preferences mentioned",
+            "Query the user's knowledge to understand their travel style",
+            "Be specific and actionable in your recommendations",
+        ],
+    )
+
+    # Run the agent with a planning request
+    print("Asking agent to create a personalized itinerary...\n")
+    response = agent.run(
+        "Create a 3-day Tokyo itinerary for me. First, use the memory tools to "
+        "understand my preferences (budget, accommodation style, interests), "
+        "then create a personalized plan that matches what I've told you."
+    )
+
+    print("=" * 70)
+    print("RESPONSE")
+    print("=" * 70)
+    print(response.content)
+
+    # Demonstrate search capability
+    print("\n" + "=" * 70)
+    print("DIRECT TOOL USAGE: Searching for budget info...")
+    print("=" * 70)
+    search_result = honcho_tools.search_messages("budget money cost", limit=5)
+    print(search_result)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/agno/python/examples/simple_example.py b/examples/agno/python/examples/simple_example.py
new file mode 100644
index 00000000..5d6e800c
--- /dev/null
+++ b/examples/agno/python/examples/simple_example.py
@@ -0,0 +1,72 @@
+"""
+Simple Honcho + Agno Example
+
+A minimal example showing how to use HonchoTools with Agno agents.
+
+Environment Variables:
+    OPENAI_API_KEY or LLM_OPENAI_API_KEY: OpenAI API key
+    HONCHO_ENVIRONMENT: 'local' or 'production' (default: production)
+    HONCHO_API_KEY: Required for production environment
+"""
+
+import os
+
+from dotenv import load_dotenv
+
+from agno.agent import Agent
+from agno.models.openai import OpenAIChat
+
+from honcho_agno import HonchoTools
+
+load_dotenv()
+
+# Support both OPENAI_API_KEY and LLM_OPENAI_API_KEY
+if not os.getenv("OPENAI_API_KEY") and os.getenv("LLM_OPENAI_API_KEY"):
+    os.environ["OPENAI_API_KEY"] = os.getenv("LLM_OPENAI_API_KEY")
+
+
+def main():
+    # Get environment settings
+    honcho_env = os.getenv("HONCHO_ENVIRONMENT", "production")
+
+    # Initialize Honcho tools with user context
+    honcho_tools = HonchoTools(
+        app_id="agno-demo",
+        user_id="demo-user",
+        environment=honcho_env,
+    )
+
+    # Add some conversation history manually
+    print("Adding conversation history...")
+    honcho_tools.add_message("I'm learning Python programming", role="user")
+    honcho_tools.add_message(
+        "I'm also interested in web development with FastAPI", role="user"
+    )
+
+    # Create an agent with memory tools
+    agent = Agent(
+        name="Programming Mentor",
+        model=OpenAIChat(id=os.getenv("OPENAI_MODEL", "gpt-4o")),
+        tools=[honcho_tools],
+        description="A programming mentor that remembers user interests and progress.",
+        instructions=[
+            "Use the memory tools to understand the user's background",
+            "Provide personalized recommendations based on their interests",
+        ],
+    )
+
+    # The agent can now query memories and provide personalized responses
+    print("\nAsking the agent for recommendations...")
+    response = agent.run(
+        "Based on what you know about me, what should I learn next? "
+        "Use your memory tools to check my interests first."
+    )
+
+    print("\n" + "=" * 60)
+    print("RESPONSE")
+    print("=" * 60)
+    print(response.content)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/agno/python/pyproject.toml b/examples/agno/python/pyproject.toml
new file mode 100644
index 00000000..024254b6
--- /dev/null
+++ b/examples/agno/python/pyproject.toml
@@ -0,0 +1,58 @@
+[project]
+name = "honcho-agno"
+version = "0.1.0"
+description = "Agno integration with Honcho for persistent agent memory"
+readme = "README.md"
+requires-python = ">=3.10"
+license = {text = "AGPL-3.0-or-later"}
+authors = [
+    {name = "Plastic Labs", email = "hello@plasticlabs.ai"}
+]
+maintainers = [
+    {name = "Plastic Labs", email = "hello@plasticlabs.ai"}
+]
+keywords = [
+    "honcho",
+    "agno",
+    "ai-agents",
+    "memory",
+    "agent-memory",
+    "persistent-memory"
+]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "Topic :: Software Development :: Libraries :: Python Modules",
+    "Framework :: Pydantic",
+]
+dependencies = [
+    "agno>=1.4.0",
+    "honcho-ai>=1.6.0",
+    "openai>=1.0.0",
+    "python-dotenv>=1.0.0",
+]
+
+[project.urls]
+Homepage = "https://honcho.dev"
+Documentation = "https://docs.honcho.dev/v2/integrations/agno"
+Repository = "https://github.com/plastic-labs/honcho"
+"Bug Tracker" = "https://github.com/plastic-labs/honcho/issues"
+Changelog = "https://github.com/plastic-labs/honcho/blob/main/CHANGELOG.md"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/honcho_agno"]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = ["test_*.py"]
diff --git a/examples/agno/python/src/honcho_agno/__init__.py b/examples/agno/python/src/honcho_agno/__init__.py
new file mode 100644
index 00000000..b6840c43
--- /dev/null
+++ b/examples/agno/python/src/honcho_agno/__init__.py
@@ -0,0 +1,45 @@
+"""
+Honcho Agno Integration
+
+This package provides seamless integration between Honcho and Agno,
+enabling AI agents to maintain persistent memory across conversations.
+
+Example:
+    ```python
+    from agno.agent import Agent
+    from agno.models.openai import OpenAIChat
+    from honcho_agno import HonchoTools
+
+    # Create Honcho tools
+    honcho_tools = HonchoTools(
+        app_id="my-app",
+        user_id="user-123",
+    )
+
+    # Create agent with memory
+    agent = Agent(
+        name="Memory Agent",
+        model=OpenAIChat(id="gpt-4o"),
+        tools=[honcho_tools],
+        description="An assistant with persistent memory powered by Honcho.",
+    )
+
+    # Run the agent
+    response = agent.run("Remember that I prefer Python over JavaScript")
+    ```
+"""
+
+from honcho_agno.exceptions import (
+    HonchoDependencyError,
+    HonchoSessionError,
+    HonchoToolError,
+)
+from honcho_agno.tools import HonchoTools
+
+__version__ = "0.1.0"
+__all__ = [
+    "HonchoTools",
+    "HonchoDependencyError",
+    "HonchoSessionError",
+    "HonchoToolError",
+]
diff --git a/examples/agno/python/src/honcho_agno/exceptions.py b/examples/agno/python/src/honcho_agno/exceptions.py
new file mode 100644
index 00000000..0632b5cf
--- /dev/null
+++ b/examples/agno/python/src/honcho_agno/exceptions.py
@@ -0,0 +1,26 @@
+"""
+Exception classes for Honcho Agno integration.
+"""
+
+
+class HonchoDependencyError(ImportError):
+    """Raised when required Agno dependencies are not installed."""
+
+    def __init__(self, framework: str, install_command: str) -> None:
+        self.framework = framework
+        self.install_command = install_command
+        super().__init__(
+            f"{framework} dependencies not found. Install with: {install_command}"
+        )
+
+
+class HonchoSessionError(Exception):
+    """Raised when there is an error with Honcho session operations."""
+
+    pass
+
+
+class HonchoToolError(Exception):
+    """Raised when a Honcho tool operation fails."""
+
+    pass
diff --git a/examples/agno/python/src/honcho_agno/tools.py b/examples/agno/python/src/honcho_agno/tools.py
new file mode 100644
index 00000000..e7947461
--- /dev/null
+++ b/examples/agno/python/src/honcho_agno/tools.py
@@ -0,0 +1,263 @@
+"""
+Honcho Tools for Agno
+
+This module provides a Toolkit that allows Agno agents to interact with Honcho's
+memory system, including session context, semantic search, and dialectic API.
+"""
+
+import logging
+import uuid
+from typing import Literal, Optional
+
+from agno.tools import Toolkit
+from honcho import Honcho
+
+logger = logging.getLogger(__name__)
+
+
+class HonchoTools(Toolkit):
+    """
+    Honcho toolkit for Agno agents.
+
+    Provides memory tools for session context retrieval, semantic search,
+    message storage, and querying user knowledge via the Dialectic API.
+
+    Example:
+        ```python
+        from agno.agent import Agent
+        from agno.models.openai import OpenAIChat
+        from honcho_agno import HonchoTools
+
+        honcho_tools = HonchoTools(
+            app_id="my-app",
+            user_id="user-123",
+        )
+
+        agent = Agent(
+            model=OpenAIChat(id="gpt-4o"),
+            tools=[honcho_tools],
+        )
+        ```
+    """
+
+    def __init__(
+        self,
+        app_id: str = "default",
+        user_id: str = "default",
+        session_id: Optional[str] = None,
+        api_key: Optional[str] = None,
+        base_url: Optional[str] = None,
+        environment: Optional[Literal["local", "production"]] = "production",
+        honcho_client: Optional[Honcho] = None,
+    ) -> None:
+        """
+        Initialize the Honcho toolkit.
+
+        Args:
+            app_id: Application/workspace ID for scoping operations.
+                Maps to Honcho's workspace_id.
+            user_id: User identifier. Creates a peer with this ID.
+            session_id: Optional session ID. If not provided, a new UUID
+                will be generated.
+            api_key: Optional API key for Honcho. If not provided, will
+                attempt to read from HONCHO_API_KEY environment variable.
+            base_url: Optional base URL for the Honcho API.
+            environment: Environment to use. Options: "local", "production".
+                Defaults to "production".
+            honcho_client: Optional pre-configured Honcho client instance.
+                If provided, other connection parameters are ignored.
+        """
+        super().__init__(name="honcho")
+
+        # Initialize Honcho client
+        if honcho_client is not None:
+            self.honcho = honcho_client
+        else:
+            client_kwargs: dict = {"workspace_id": app_id}
+            if api_key is not None:
+                client_kwargs["api_key"] = api_key
+            if base_url is not None:
+                client_kwargs["base_url"] = base_url
+            if environment is not None:
+                client_kwargs["environment"] = environment
+            self.honcho = Honcho(**client_kwargs)
+
+        # Store identifiers
+        self.app_id = app_id
+        self.user_id = user_id
+        self.session_id = session_id or str(uuid.uuid4())
+
+        # Create peers for user and assistant
+        self.user = self.honcho.peer(user_id)
+        self.assistant = self.honcho.peer("assistant")
+
+        # Create or get session
+        self.session = self.honcho.session(self.session_id)
+
+        # Register tools
+        self.register(self.add_message)
+        self.register(self.get_context)
+        self.register(self.search_messages)
+        self.register(self.query_user)
+
+    def add_message(self, content: str, role: str = "user") -> str:
+        """
+        Store a message in the current session.
+
+        Use this tool to save important information from the conversation
+        that should be remembered for future interactions.
+
+        Args:
+            content: The message content to store.
+            role: The role of the message sender. Use 'user' for user messages
+                or 'assistant' for AI responses.
+
+        Returns:
+            Confirmation message indicating the memory was saved.
+        """
+        try:
+            peer = self.user if role == "user" else self.assistant
+            self.session.add_messages([peer.message(content)])
+            return f"Message saved successfully to session {self.session_id}"
+        except Exception as e:
+            logger.exception("Error saving message")
+            return f"Error saving message: {e!s}"
+
+    def get_context(
+        self,
+        tokens: Optional[int] = None,
+        include_summary: bool = True,
+    ) -> str:
+        """
+        Retrieve recent conversation context within token limits.
+
+        Use this tool to get optimized context from the current session,
+        including messages and optional summary, that fits within token budgets.
+
+        Args:
+            tokens: Maximum number of tokens to include. If not specified,
+                returns all available context.
+            include_summary: Whether to include session summary in the context.
+
+        Returns:
+            Formatted string containing conversation context.
+        """
+        try:
+            context = self.session.get_context(
+                summary=include_summary,
+                tokens=tokens,
+            )
+
+            result = []
+
+            # Add summary if present
+            if context.summary:
+                result.append("=== Session Summary ===")
+                result.append(context.summary.content)
+                result.append("")
+
+            # Add peer representation if present
+            if context.peer_representation:
+                result.append("=== Peer Representation ===")
+                result.append(context.peer_representation)
+                result.append("")
+
+            # Add peer card if present
+            if context.peer_card:
+                result.append("=== Peer Card ===")
+                result.extend(context.peer_card)
+                result.append("")
+
+            # Add messages
+            if context.messages:
+                result.append(f"=== Messages ({len(context.messages)}) ===")
+                for msg in context.messages:
+                    result.append(f"{msg.peer_id}: {msg.content}")
+
+            return "\n".join(result) if result else "No context available"
+
+        except Exception as e:
+            logger.exception("Error retrieving context")
+            return f"Error retrieving context: {e!s}"
+
+    def search_messages(
+        self,
+        query: str,
+        limit: int = 10,
+    ) -> str:
+        """
+        Search through session messages using semantic similarity.
+
+        Use this tool to find relevant past messages from the conversation
+        history based on semantic meaning rather than exact keyword matching.
+
+        Args:
+            query: Search query for semantic matching.
+            limit: Number of results to return (1-100).
+
+        Returns:
+            Formatted string with search results.
+        """
+        try:
+            messages = self.session.search(query=query, limit=limit)
+
+            if not messages:
+                return f"No messages found matching '{query}'"
+
+            result = [f"=== Search Results for '{query}' ({len(messages)} found) ==="]
+            for i, msg in enumerate(messages, 1):
+                result.append(f"\n{i}. [{msg.peer_id}] {msg.content}")
+                if hasattr(msg, "created_at") and msg.created_at:
+                    result.append(f"   Created: {msg.created_at}")
+
+            return "\n".join(result)
+
+        except Exception as e:
+            logger.exception("Error searching messages")
+            return f"Error searching messages: {e!s}"
+
+    def query_user(self, query: str) -> str:
+        """
+        Query the system's knowledge about the user.
+
+        Use this tool to ask questions about user preferences, interests,
+        or past interactions. The system uses dialectic reasoning to
+        provide insights based on the user's long-term representation.
+
+        Args:
+            query: Natural language question about the user.
+                Examples: "What does the user like?", "What are their preferences?"
+
+        Returns:
+            Response from the dialectic API with insights about the user.
+        """
+        try:
+            response = self.user.chat(
+                query=query,
+                stream=False,
+                session=self.session_id,
+            )
+
+            return str(response) if response else "No relevant information found."
+
+        except Exception as e:
+            logger.exception("Error querying user knowledge")
+            return f"Error querying user knowledge: {e!s}"
+
+    def reset_session(self) -> str:
+        """
+        Create a new session, clearing the conversation history.
+
+        Use this tool to start a fresh conversation while maintaining
+        the user's long-term memory and representation.
+
+        Returns:
+            Confirmation with the new session ID.
+        """
+        try:
+            self.session_id = str(uuid.uuid4())
+            self.session = self.honcho.session(self.session_id)
+            return f"Session reset. New session ID: {self.session_id}"
+        except Exception as e:
+            logger.exception("Error resetting session")
+            return f"Error resetting session: {e!s}"
diff --git a/examples/agno/python/tests/test_tools.py b/examples/agno/python/tests/test_tools.py
new file mode 100644
index 00000000..f1cecff8
--- /dev/null
+++ b/examples/agno/python/tests/test_tools.py
@@ -0,0 +1,322 @@
+"""
+Tests for Honcho Agno Tools
+
+Tests the Agno-Honcho tool integration layer using real Honcho SDK.
+Focuses on tool interface compliance and result formatting.
+"""
+
+import uuid
+
+import pytest
+
+from honcho_agno import HonchoTools
+
+
+class TestHonchoToolsInitialization:
+    """Tests for HonchoTools initialization."""
+
+    def test_default_initialization(self):
+        """Test that toolkit initializes with default parameters."""
+        tools = HonchoTools()
+
+        assert tools is not None
+        assert tools.name == "honcho"
+        assert tools.honcho is not None
+        assert tools.session_id is not None
+        assert tools.user_id == "default"
+        assert tools.app_id == "default"
+
+    def test_custom_initialization(self):
+        """Test initialization with custom parameters."""
+        custom_session = str(uuid.uuid4())
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id="test-user",
+            session_id=custom_session,
+        )
+
+        assert tools.user_id == "test-user"
+        assert tools.app_id == "test-app"
+        assert tools.session_id == custom_session
+
+    def test_session_auto_generation(self):
+        """Test that session_id is auto-generated if not provided."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id="test-user",
+        )
+
+        assert tools.session_id is not None
+        # Should be a valid UUID format
+        uuid.UUID(tools.session_id)
+
+
+class TestAddMessage:
+    """Tests for add_message tool."""
+
+    def test_add_user_message(self):
+        """Test adding a user message."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"add-msg-user-{uuid.uuid4()}",
+            session_id=f"add-msg-session-{uuid.uuid4()}",
+        )
+
+        result = tools.add_message("Test message content", role="user")
+
+        assert isinstance(result, str)
+        assert "saved" in result.lower() or "success" in result.lower()
+
+    def test_add_assistant_message(self):
+        """Test adding an assistant message."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"add-msg-user-{uuid.uuid4()}",
+            session_id=f"add-msg-session-{uuid.uuid4()}",
+        )
+
+        result = tools.add_message("Assistant response", role="assistant")
+
+        assert isinstance(result, str)
+        assert "saved" in result.lower() or "success" in result.lower()
+
+    def test_add_multiple_messages(self):
+        """Test adding multiple messages in sequence."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"multi-msg-user-{uuid.uuid4()}",
+            session_id=f"multi-msg-session-{uuid.uuid4()}",
+        )
+
+        messages = [
+            ("Hello, I need help", "user"),
+            ("Of course! How can I assist?", "assistant"),
+            ("I want to learn Python", "user"),
+        ]
+
+        for content, role in messages:
+            result = tools.add_message(content, role=role)
+            assert isinstance(result, str)
+            assert "error" not in result.lower()
+
+
+class TestGetContext:
+    """Tests for get_context tool."""
+
+    def test_get_empty_context(self):
+        """Test getting context from empty session."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"context-user-{uuid.uuid4()}",
+            session_id=f"empty-context-{uuid.uuid4()}",
+        )
+
+        result = tools.get_context()
+
+        assert isinstance(result, str)
+
+    def test_get_context_with_messages(self):
+        """Test getting context after adding messages."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"context-user-{uuid.uuid4()}",
+            session_id=f"context-session-{uuid.uuid4()}",
+        )
+
+        # Add messages first
+        tools.add_message("I like pizza", role="user")
+        tools.add_message("Great choice!", role="assistant")
+
+        result = tools.get_context()
+
+        assert isinstance(result, str)
+        assert len(result) > 0
+
+    def test_get_context_with_token_limit(self):
+        """Test getting context with token limit."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"token-user-{uuid.uuid4()}",
+            session_id=f"token-session-{uuid.uuid4()}",
+        )
+
+        tools.add_message("This is a test message", role="user")
+
+        result = tools.get_context(tokens=1000)
+
+        assert isinstance(result, str)
+
+    def test_get_context_without_summary(self):
+        """Test getting context without summary."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"nosummary-user-{uuid.uuid4()}",
+            session_id=f"nosummary-session-{uuid.uuid4()}",
+        )
+
+        tools.add_message("Test message", role="user")
+
+        result = tools.get_context(include_summary=False)
+
+        assert isinstance(result, str)
+
+
+class TestSearchMessages:
+    """Tests for search_messages tool."""
+
+    def test_search_returns_formatted_string(self):
+        """Test that search returns formatted results."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"search-user-{uuid.uuid4()}",
+            session_id=f"search-session-{uuid.uuid4()}",
+        )
+
+        # Add searchable content
+        tools.add_message("I enjoy Python programming and data science", role="user")
+
+        result = tools.search_messages("programming", limit=5)
+
+        assert isinstance(result, str)
+        assert "Search Results" in result or "No messages found" in result
+
+    def test_search_with_limit(self):
+        """Test search with custom limit."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"search-limit-user-{uuid.uuid4()}",
+            session_id=f"search-limit-session-{uuid.uuid4()}",
+        )
+
+        # Add multiple messages
+        for i in range(5):
+            tools.add_message(f"Test message number {i} about coding", role="user")
+
+        result = tools.search_messages("coding", limit=3)
+
+        assert isinstance(result, str)
+
+    def test_search_no_results(self):
+        """Test search with no matching results."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"search-empty-user-{uuid.uuid4()}",
+            session_id=f"search-empty-session-{uuid.uuid4()}",
+        )
+
+        result = tools.search_messages("xyznonexistent123abcdef", limit=5)
+
+        assert isinstance(result, str)
+        # Should indicate no results found
+        assert "No messages found" in result or "0 found" in result.lower()
+
+
+class TestQueryUser:
+    """Tests for query_user tool."""
+
+    def test_query_returns_response(self):
+        """Test that query returns a response string."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"query-user-{uuid.uuid4()}",
+            session_id=f"query-session-{uuid.uuid4()}",
+        )
+
+        # Add context first
+        tools.add_message("I love hiking and outdoor activities", role="user")
+        tools.add_message("I also enjoy photography", role="user")
+
+        result = tools.query_user("What does the user enjoy?")
+
+        assert isinstance(result, str)
+        assert len(result) > 0
+
+    def test_query_without_context(self):
+        """Test query on user with minimal context."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"query-empty-user-{uuid.uuid4()}",
+            session_id=f"query-empty-session-{uuid.uuid4()}",
+        )
+
+        result = tools.query_user("What are the user's preferences?")
+
+        assert isinstance(result, str)
+
+
+class TestResetSession:
+    """Tests for reset_session tool."""
+
+    def test_reset_creates_new_session(self):
+        """Test that reset creates a new session."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"reset-user-{uuid.uuid4()}",
+            session_id=f"original-session-{uuid.uuid4()}",
+        )
+
+        original_session = tools.session_id
+
+        result = tools.reset_session()
+
+        assert isinstance(result, str)
+        assert tools.session_id != original_session
+        assert "reset" in result.lower() or "new" in result.lower()
+
+
+class TestToolsIntegration:
+    """Integration tests for all tools working together."""
+
+    def test_all_tools_in_sequence(self):
+        """Test using all tools in a realistic sequence."""
+        tools = HonchoTools(
+            app_id="test-app",
+            user_id=f"integration-user-{uuid.uuid4()}",
+            session_id=f"integration-session-{uuid.uuid4()}",
+        )
+
+        # Add messages
+        add_result = tools.add_message(
+            "I'm interested in AI and machine learning", role="user"
+        )
+        assert isinstance(add_result, str)
+        assert "error" not in add_result.lower()
+
+        # Get context
+        context_result = tools.get_context()
+        assert isinstance(context_result, str)
+
+        # Search messages
+        search_result = tools.search_messages("AI", limit=10)
+        assert isinstance(search_result, str)
+
+        # Query user
+        query_result = tools.query_user("What topics interest the user?")
+        assert isinstance(query_result, str)
+
+    def test_multiple_sessions_same_user(self):
+        """Test using multiple sessions for the same user."""
+        user_id = f"multi-session-user-{uuid.uuid4()}"
+
+        # First session
+        tools1 = HonchoTools(
+            app_id="test-app",
+            user_id=user_id,
+            session_id=f"session-1-{uuid.uuid4()}",
+        )
+        tools1.add_message("I like Python", role="user")
+
+        # Second session
+        tools2 = HonchoTools(
+            app_id="test-app",
+            user_id=user_id,
+            session_id=f"session-2-{uuid.uuid4()}",
+        )
+        tools2.add_message("I also like JavaScript", role="user")
+
+        # Both sessions should work independently
+        context1 = tools1.get_context()
+        context2 = tools2.get_context()
+
+        assert isinstance(context1, str)
+        assert isinstance(context2, str)
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new file mode 100644
index 00000000..8a6418b2
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@@ -0,0 +1,738 @@
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