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About
openTag is an open-source AI coworker that connects messaging platforms such as Slack and Lark with AI coding agents running on a user's computer. Users can mention an agent in a conversation, delegate a task, and receive its response in the same discussion. The platform supports agent runtimes such as Claude Code, OpenAI Codex, and Pi, allowing users to work with their preferred AI tools and subscriptions rather than relying on a single provider. Agents can connect to services including GitHub, Notion, Google Drive, Linear, Jira, and Figma to support development and team workflows. openTag also supports collaboration between agents, including task delegation and progress tracking. Its shared knowledge system, Context Tree, stores team memory as files in a Git-backed repository hosted within the team's GitHub organization. The software is open source under the Apache 2.0 license and supports self-hosting. Agent execution takes place on the user's Mac or Linux computer, while messages and results pass through openTag. The tool is designed for developers, startup teams, and technical teams seeking to delegate work to AI agents through their existing messaging platforms while retaining control over their AI provider and local execution environment.
Problem & solution
Problem
Teams lack a simple way to delegate coding tasks to AI agents from chat.
Solution
Connect Slack or Lark to AI agents running locally with your preferred model provider.
Who it's for
Developers, startup teams, and open-source maintainers using AI coding agents.
Main features
- Slack and Lark integration
- Local AI agent execution
- Multi-provider agent support
- Shared Git-backed team memory
- Self-hosting and open source
Use cases
- Delegate coding tasks from Slack or Lark
- Share team knowledge across AI agents
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