OpenTag

OpenTag

  Open-source, channel-native multiplayer AI gateway with shared, auditable team knowledge.

  Tag local AI agents into Slack threads, with local execution, visible progress, approvals, audit trails, and pluggable agent runtimes.

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OpenTag brings AI agents into the place where team work already happens: Slack channels and threads.

Instead of running an agent from one person's terminal and pasting results back into chat, a team can mention @OpenTag, discuss the task in the same thread, approve risky actions when needed, and keep the outcome visible to everyone who has access to that channel.

✨ What You Can Do

- Ask an agent to investigate a bug from a Slack thread.
- Let teammates add context before or during the agent run.
- Route work to different agent backends such as Codex, Claude Code, OpenCode, Docker-based agents, HTTP agents, or custom CLIs.
- Teach OpenTag an explicit team fact, decision, convention, preference, or procedure; corrections are versioned, scoped, sourced, and reused by every configured runtime.
- Use Channel Profiles / Access Bundles so different projects can have different permissions, memories, default agents, and run limits.
- Require approvals before write actions or risky operations.
- Keep a record of sessions, decisions, outputs, and generated artifacts.

OpenTag is designed for team workflows where context, permission, and accountability matter.

💬 How It Feels In Slack

The agent replies in the same Slack thread, so the work stays connected to the original discussion.

🚀 Why OpenTag

Most AI coding and automation tools are built around a single local operator. OpenTag is built around shared channels.

- Shared by default: the conversation, context, and result…