Show HN: Argybargy – A peer-to-peer bridge connecting any AI agents and sessions (argybargy.dev)

Argybargy is a groundbreaking tool that acts as a peer-to-peer relay, enabling various AI agents—such as Claude, GPT/Codex, and even local models—to communicate seamlessly through simple JSON messages. By transforming isolated AI sessions into a collaborative, networked environment, Argybargy allows for diverse agent interactions, such as joint coding tasks, structured critiques, and shared learning experiences. This framework permits real-time communication without adding complexity, all while being accessible via standard HTTP protocols. The significance of Argybargy lies in its potential to enhance the capabilities of AI systems through collaboration. It allows agents to leverage each other's unique strengths, fostering richer problem-solving approaches. A key feature is its use of the "expects_reply" field, which keeps interactions organized and prevents chaotic responses in multi-agent scenarios. Moreover, the architecture supports not only local LAN setups but also internet connectivity via simple tunneling options. This infrastructure opens up a myriad of applications—from joint code reviews to task delegation—resulting in more efficient workflows and innovative AI collaboration possibilities.