Mahilo

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Mahilo: Python framework for developers. Build human-in-loop AI agent teams with real-time control & communication. Easy multi-agent systems.0
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What is Mahilo?

Building complex, multi-agent AI systems that seamlessly integrate human oversight can be a daunting task. mahilo simplifies this process. It's a flexible Python framework designed to let you create and manage teams of AI agents that can communicate with each other, share contextual information, and interact directly with human users—all in real-time. If you need coordinated AI with human supervision, mahilo provides the foundation.

Key Features:

  • 🗣️ Enable Real-time Human Interaction: Connect human users to individual agents via WebSockets, allowing for natural, two-way conversations (text or voice!).

  • 🤝 Facilitate Agent Collaboration: Agents within a mahilo team can communicate directly, sharing context and coordinating actions to solve complex problems.

  • ⚙️ Customize Agent Capabilities: Easily create new agents by extending the BaseAgent class, defining their roles, descriptions, tools, and communication permissions.

  • 🧩 Integrate Existing Agents: Seamlessly incorporate agents from other frameworks (like LangGraph) into your mahilo team.

  • 🚦 Control Communication Flow: Use can_contact lists to define which agents can interact, creating hierarchical or peer-to-peer communication structures.

  • 💾 Maintain Conversational Context: mahilo automatically manages and shares the last N conversations between agents, ensuring everyone stays informed. Session management allows for persistent conversation history.

  • ⚡ Activate Agents Dynamically: Agents are activated only when needed, optimizing resource usage.

  • 💻 Test and Interact Easily: Use the built-in CLI client (mahilo connect) to quickly connect to and interact with your agents (text or voice).

Technical Details:

  • Installation: Simple installation via pip: pip install mahilo (or pip install mahilo[voice] for voice features, with PyAudio as a prerequisite).

  • WebSocket Server: mahilo utilizes FastAPI's WebSocket support for real-time, bidirectional communication between agents and clients.

  • Agent Manager: The AgentManager class handles agent registration, communication management, and context sharing.

  • Base Agent: The BaseAgent class provides core functionality, including message handling, a message queue, tool integration, and session management.

  • Integration: Designed to integrate with other agent frameworks. The example demonstrates integrating a LangGraph agent.

Use Cases:

  1. Emergency Response Coordination: Imagine a scenario where a medical advisor agent identifies a public health emergency. Using mahilo, this agent can simultaneously alert and coordinate with a logistics coordinator agent (to manage resources) and a public communication director agent (to disseminate information), all under human supervision.

  2. Customer Service Handoff: A customer service agent, built with mahilo, can seamlessly transfer a complex customer issue to a specialized technical support agent, ensuring all relevant conversation history is automatically shared. Human agents oversee the entire process.

  3. Dispatch and Field Service: A dispatcher agent can receive requests and coordinate the actions of multiple field agents (e.g., plumbers, electricians) using mahilo's hierarchical communication structure. Multiple dispatchers can connect to the same agent, receiving updates and coordinating actions.


Conclusion:

mahilo provides a powerful and flexible foundation for building sophisticated multi-agent systems that require real-time communication, human oversight, and seamless context sharing. Its modular design and easy-to-use API make it an ideal choice for developers tackling complex coordination challenges.

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More information on Mahilo

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Mahilo was manually vetted by our editorial team and was first featured on 2025-03-03.
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