F.A.Q. Multi-Agents AI Systems

What are AI agents and Multi-Agent Systems (MAS)?

AI agents are LLMs with the tools. Usually autonomous entities that perceive their environment, process information, and make decisions to achieve defined objectives. Multi-Agent Systems (MAS) extend this concept by involving multiple agents that operate collaboratively or independently toward a shared goal. MAS are designed to tackle complex tasks that exceed the capabilities of individual agents, such as distributed problem-solving and collaborative data analysis.

What are the current frameworks for building AI agents?

Current frameworks include:

• LangChain: A foundational framework that integrates language models, tools, and APIs to build agents capable of complex workflows.

• CrewAI: Builds on LangChain by introducing structured role-playing features, allowing agents to function autonomously with defined roles.

• AutoGen: Adds a conversational model for agent interactions, enabling collaborative decision-making through message exchanges.

• n8n: A no-code visual builder that orchestrates agents and integrates them with various services to automate complex workflows.

These frameworks operate at different abstraction layers and can be integrated using the Leea SDK.

What limitations and challenges for agents are solved by Leea?

Leea addresses several key challenges:

• Scalability and Cost: Reduces operational expenses by leveraging decentralized computing, making large-scale agent deployment more accessible.

• Corporate-Level Security: Provides institution-grade security through double encryption mechanisms.

• Deployment Complexity: Simplifies deploying multi-agent systems across different environments without the need for extensive reconfiguration.

• Specialization vs. Generalization: Facilitates the deployment of specialized agents, enhancing performance by allowing agents to focus on specific tasks.

What is the Leea SDK and which frameworks does it support?

The Leea SDK enables dynamic linking between various agent components and tools, supporting frameworks like AutoGen, CrewAI, and Swarm. It allows seamless integration of different agent frameworks and components, including those from the LangChain ecosystem, such as RAG systems, Chroma, and Pinecone vector databases. The SDK simplifies building and connecting multi-agent systems across the entire technology stack.

What is Leea Service Discovery (LSD) and how does it work?

Leea Service Discovery (LSD) is a public registry of Agent Name Service (ANS) that assigns each agent a unique address accessible via a URL like https://name.agent.leealabs.com. LSD ensures that every agent can be discovered and accessed easily, making agents censorship-resistant and platform-agnostic. This facilitates seamless communication and interaction among agents, regardless of their deployment environment.

How does Leea address scalability and cost issues in agent deployment?

Leea leverages decentralized computing resources through the Leea Protocol, reducing reliance on traditional cloud infrastructure. This approach lowers operational costs and allows for scalable deployment of AI agents by utilizing idle hardware from both retail and professional providers, creating a cost-efficient environment.

How does Leea provide corporate-level security for AI agents?

Leea ensures security through a double encryption mechanism:

• RAM Encryption: Uses AMD SEV and Intel TDX technologies to encrypt the RAM segments where MAS data is stored.

• Storage Encryption: Encrypts VM images and storage with private keys distributed across multiple nodes via a decentralized API.

This setup ensures that no single entity holds the entire encryption key, providing robust security without relying on traditional cloud or on-premise infrastructure.

How does Leea simplify deployment for multi-agent systems?

Leea simplifies deployment by automating the process with the Leea Deployer. Developers can specify deployment parameters in a simple configuration file, and Leea handles provisioning resources, configuring networking, setting up security rules, and managing inter-agent communication. This eliminates manual setup and allows for easy migration across different clouds and on-premise environments.

What is the role of Leea Service Discovery (LSD) in agent accessibility?

LSD provides a public registry of Agent Name Service (ANS), assigning each agent a unique, accessible address. This ensures that agents are easily discoverable and can communicate seamlessly, making them censorship-resistant and agnostic to specific platforms or deployment environments.