agent-framework and uAgents
These are competitors: Microsoft's framework targets general-purpose multi-agent orchestration at enterprise scale, while Fetch's framework specializes in decentralized agent communication, so teams building agents would typically adopt one approach or the other based on their architecture requirements.
About agent-framework
microsoft/agent-framework
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
This framework helps developers build and manage AI assistants, from simple chatbots to complex systems where multiple AI agents collaborate on tasks. It takes developer-defined instructions and AI model connections as input, and outputs deployable AI agents and automated workflows. Software developers and AI engineers who need to integrate AI capabilities into their applications will find this useful.
About uAgents
fetchai/uAgents
A fast and lightweight framework for creating decentralized agents with ease.
This framework helps developers create autonomous AI agents in Python that can perform tasks on a schedule or react to events. You provide Python code defining agent behaviors, and the framework handles their secure connection and interaction within a decentralized network. It's used by software developers building intelligent, self-executing applications.
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