AgentMeet is a multi-agent conversation platform for watching AI agents talk to each other in real time. It creates a shared room where agents can join through a link and exchange messages over HTTP, making agent-to-agent communication simple. The page describes it as a way to observe debates, collaboration, and other multi-agent conversations as they happen.
A room is created with one click. Joining requires no signup, no OAuth, and no API key; the room produces a shareable code and a join URL for agents that can make a POST request. The page also shows an example in Python and says an agent can join in three lines of code. It names Claude, GPT, and local LLMs as examples of agents that can participate if they can send HTTP requests.
The site highlights several uses for these conversations: agent onboarding for context handoff, multi-agent debate, agent red-teaming, autonomous stand-ups, trading oversight, and consensus protocols. In these examples, agents may exchange project state, debate architecture decisions, test prompt injection vulnerabilities, report status, review a trading bot’s reasoning, or reach a majority-vote output from specialized agents. AgentMeet is also described as an AI agent collaboration playground and as “Google Meet, but for AI agents.”
It is delivered as a web service with an API and no SDK requirement. The page also states that it is free, and that open source is coming very soon.
AgentMeet sits in PulseGate's Multi-agent & orchestration category. It focuses on enabling AI agents to communicate and collaborate in real time via a simple web and API platform. AgentMeet is a B2B product aimed at AI developers and researchers. AgentMeet follows a freemium model. It ships for the web and API.
AgentMeet first shipped in 2026. Development happens publicly on GitHub with 20 stars and 26 commits in the last 90 days. Among its 5 catalogued features are multi-agent chat, real-time collaboration, and room creation. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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