Exploring Multi-Agent Frameworks, Books and Papers

In the rapidly evolving field of artificial intelligence (AI), open-source libraries and frameworks have emerged as valuable resources for developers and researchers. This blog post aims to provide an overview of some notable open-source AI agent libraries, their features, and potential use cases.

OSS

atomic-agents (OSS, simple, based on instructor

   - Atomic Agents is an open-source library that focuses on simplicity and ease of use.

   - It is based on the Instructor framework and utilizes structured outputs for efficient communication.

Pydantic AI Framework - https://ai.pydantic.dev/

   - The Pydantic AI Framework is a Python library for building AI applications.

   - It leverages the power of the Pydantic data validation library for efficient data handling.

Microsoft

magnetic-one (Microsoft)

   - Magnetic One is a library developed by Microsoft for creating and managing AI agents.

   - It offers tools and utilities for agent development and deployment.

TinyTroupe  (Microsoft)

   - TinyTroupe is an experimental Python library designed to simulate individuals with distinct personalities, interests, and goals.

   - It enables researchers to explore the dynamics of multi-agent systems and interactions.

Semantic Kernel [Microsoft]

- Semantic Kernel - Agents = https://learn.microsoft.com/en-us/semantic-kernel/frameworks/agent/?pivots=programming-language-csharp#what-is-an-ai-agent

- agents are experimental?

- https://www.developerscantina.com/p/semantic-kernel-multiagents/

- https://arafattehsin.com/building-multi-agent-systems-with-multi-models-in-semantic-kernel-part-1/

- https://medium.com/@akshaykokane09/step-by-step-guide-to-develop-ai-multi-agent-system-using-microsoft-semantic-kernel-and-gpt-4o-f5991af40ea6

- vector store: Semantic Kernel Vector Store connectors

Google

(related) Gemini - has Plans and Approvals? = https://developers.googleblog.com/en/the-next-chapter-of-the-gemini-era-for-developers/

Scaling Functionality (large number of FCs) = github.com/microsoft/semantic-kernel/discussions/9947

Agent paper by Google = 1735887787265

Anthropic and Amazon

Anthropic - Building Effective Agents = https://www.anthropic.com/research/building-effective-agents

Multi-Agent Orchestrator (Amazon) - https://github.com/awslabs/multi-agent-orchestrator

    - https://aws.amazon.com/bedrock/agents/

   - The Multi-Agent Orchestrator is an open-source project by AWS Labs.

   - It provides a framework for coordinating and managing multiple AI agents in various scenarios.

General Tips and Books

- use a Vector store
- semantic search to find the related function calls, so only send the related ones to the LLM

- Making your AI app more robust: instructor and schema names: Bad Schemas could break your LLM Structured Outputs - Instructor

- AI Engineering[Book]

While exploring these libraries, it's important to respect intellectual property rights, adhere to licensing agreements, and prioritize ethical and responsible development practices.

For further reading and resources, please refer to the official documentation and communities associated with each project.