#77th of 18 in Agent backends
OpenTag
Slack and Teams knowledge agent on LangGraph and CopilotKit Channels
- Stars
- 1.3k
- License
- MIT
- Last commit
- Oct 2026
- Last release
- Aug 2026
- Language
- Python
Overview
A deployable Slack and Teams agent in two services: a Node runtime (CopilotRuntime with embedded Channels) and a Python LangGraph deep agent speaking AG-UI. It ships web research, optional GitHub, PostHog, Linear and Notion MCP tools, native Slack charts and a LangGraph interrupt that pauses before Linear or Notion writes, with Slack ingress through a CopilotKit Intelligence managed channel. For teams that want an on-call style bot in chat.
Who it is for: Teams that want an on-call style knowledge bot in Slack
Strengths
- Approval gate before writes is a resumable LangGraph interrupt, not a prompt rule
- Railway config and an AWS ECS Fargate deployment are both in the repo
- AGENT_URL accepts any AG-UI agent; the runtime does not care about the framework
- Published container images; tests and AGENTS.md included
Weaknesses
- Slack and Teams delivery depends on hosted CopilotKit Intelligence unless you build a runner
- Two languages and two processes: Node 22 plus Python 3.12 with uv
- OpenAI is the only documented model provider
- Setup has several Slack-specific failure modes the README spends pages on
What it needs
- Python, openai, langgraph, ag-ui, copilotkit
- Needs copilotkit-intelligence-account, openai-api-key, slack-workspace, uv
- Docker
- env example file
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