
any agent
A single interface to use and evaluate different agent frameworks
Repository Info
About This Server
A single interface to use and evaluate different agent frameworks
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
any-agent
!Python 3.11+
A single interface to use and evaluate different agent frameworks.
Documentation
- Agents
- Tools
- Tracing
- Serving
- Evaluation
Supported Frameworks
Agno AI
Planned for Support (Contributions Welcome!)
Open Github tickets for new frameworks
Requirements
- Python 3.11 or newer
Quickstart
Refer to pyproject.toml for a list of the options available. Update your pip install command to include the frameworks that you plan on using:
pip install 'any-agent'
To define any agent system you will always use the same imports:
from any_agent import AgentConfig, AnyAgent
For this example we use a model hosted by Mistral, but you may need to set the relevant API key for whichever provider being used. See our Model docs for more information about using different models.
export MISTRAL_API_KEY="YOUR_KEY_HERE" # or OPENAI_API_KEY, etc
from any_agent.tools import search_web, visit_webpage
agent = AnyAgent.create(
"tinyagent", # See all options in https://mozilla-ai.github.io/any-agent/
AgentConfig(
model_id="mistral/mistral-small-latest",
instructions="Use the tools to find an answer",
tools=[search_web, visit_webpage]
)
)
agent_trace = agent.run("Which Agent Framework is the best??")
print(agent_trace)
TIP
Multi-agent can be implemented using Agents-As-Tools.
Cookbooks
Get started quickly with these practical examples:
- Creating your first agent - Build a simple agent with web search capabilities.
- Creating your first agent evaluation - Evaluate that simple web search agent using 3 different methods.
- Using Callbacks - Implement and use custom callbacks.
- Creating an agent with MCP - Integrate Model Context Protocol tools.
- Serve an Agent with A2A - Deploy agents with Agent-to-Agent communication.
- Building Multi-Agent Systems with A2A - Using an agent as a tool for another agent to interact with.
Contributions
The AI agent space is moving fast! If you see a new agentic framework that AnyAgent doesn't yet support, we would love for you to create a Github issue. We also welcome your support in development of additional features or functionality.
Running in Jupyter Notebook
If running in Jupyter Notebook you will need to add the following two lines before running AnyAgent, otherwise you may see the error RuntimeError: This event loop is already running. This is a known limitation of Jupyter Notebooks, see Github Issue
import nest_asyncio
nest_asyncio.apply()
Quick Start
Clone the repository
git clone https://github.com/mozilla-ai/any-agentInstall dependencies
cd any-agent
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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