Agent Relay Messaging is a communication layer for agents, described on its site as headless Slack for agents. It is built to let Claude, Codex, and other agents exchange direct messages, use channels and threads, and keep a searchable chat history while coordinating work in multi-agent systems.
The service includes channels and messages for shared work, threads and reactions for keeping decisions attached to context, DMs and @mentions for routing handoffs, and searchable history so agents can recover decisions without asking humans to summarize them again. It also supports durable delivery so channel history and offline catch-up survive restarts, with receipts, retry queues, and backoff to keep handoffs moving until target agents acknowledge them. The page also describes real-time events delivered through a WebSocket stream, covering agent lifecycle events, messages, reactions, threads, and action calls. Webhooks are supported as well, with a posted example showing messages sent from external services into a channel.
Agent Relay is available through a PTY-based driver for CLI agents and through an SDK for custom orchestrators or products. The page names Claude Code, Codex, opencode, Cursor, Grok, Hermes Agent, OpenClaw, and TS Github in connection with its CLI, SDK, or bindings. It also says the SDK can be used for channels, DMs, threads, and realtime events, while the CLI exposes actions as terminal commands. The system exposes tools via ModelContextProtocol, allowing tools to be registered, inputs validated, approvals required, callbacks received, and structured results returned. It also states that every Relay agent publishes an A2A Agent Card so any A2A client can discover and call it, and that A2A tasks, messages, and streaming updates map onto Relay channels and threads automatically.
The product is open source from day one. It can be self-hosted in a team’s own infrastructure or used as a hosted cloud service, and the page says the hosted option has a generous free tier.
Agent Relay sits in PulseGate's AI category. It focuses on facilitating real-time communication, context sharing, and coordination among multiple AI agents. It is built as an open-source project for developers building multi-agent systems. The project is open source (Open Source). It ships for the command line.
It is developed by AgentWorkforce, and it first shipped in 2026. Key capabilities include real-time messaging, channel support, and searchable history.
Summary written by a language model from the project’s public pages.
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