DevDuck AI Agent

Example Use Cases

• 1

  Dynamic runtime tool management and hot-reloading capabilities.

• 2

  Multi-protocol communication including TCP, WebSocket, MCP, and IPC.

• 3

  Coordinate and auto-discover peers in a unified mesh network.

Description

DevDuck is a Python-based AI agent designed to adapt, fix, and expand itself while running. It supports hot-reloading, dynamic tool management, multi-protocol communication, and peer-to-peer networking via Zenoh. The agent can be deployed anywhere including terminal, browser, and cloud, and integrates with various services such as AWS, macOS, Spotify, and messaging platforms. It also supports session recording, speech-to-speech conversations, and machine learning toolkits, making it a versatile platform for AI agent development and deployment.