designing-multiagent-systems and llm_agents
The projects are competitors, as both aim to teach and provide frameworks for building LLM-controlled agents, making a user likely to choose one over the other for their primary learning and development.
About designing-multiagent-systems
victordibia/designing-multiagent-systems
Building LLM-Enabled Multi Agent Applications from Scratch
This project helps AI developers learn to build sophisticated AI applications that involve multiple AI agents working together. It provides clear principles, patterns, and code examples for designing robust multi-agent systems from scratch. Developers learn to combine different AI agents, enabling them to tackle complex tasks beyond what a single AI can achieve.
About llm_agents
mpaepper/llm_agents
Build agents which are controlled by LLMs
This is a small library to help developers build AI agents that use large language models (LLMs) to automate multi-step tasks. Developers can define custom tools (like code execution or web search) and provide a prompt to guide the agent. The agent then processes information in a loop, interacting with these tools to arrive at a final answer. This is for developers looking to understand and build LLM-controlled agents with minimal code.
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