Groundcover lets AI agents work in Slack, Linear and GitHub with new connectors
Application observability startup groundcover Ltd. today announced a major expansion of Agent Mode that lets artificial intelligence agents act on a team’s observability data across the development tools they already use.
The update allows engineers to direct agents to recommend code, open pull requests and manage tasks inside applications such as Slack, Linear and GitHub. The agent’s reasoning and execution never leave the customer’s own cloud. Each action ties back to a specific authorized user and runs under that user’s permissions.
Groundcover describes itself as a bring-your-own-cloud observability platform for the eBPF and OpenTelemetry protocols. Its pitch for the release is that the control teams keep by holding their data in their own environment is exactly what makes AI agents worth deploying. Most AI observability tools force a tradeoff, the company argues, because the agents work only if customers send sensitive, high-volume telemetry back to the vendor.
The expansion centers on new connectors that pull external applications, including Anthropic PBC’s Claude, Slack, Linear, GitHub and Cursor into the platform. Agent Mode can act within those tools using a user’s own credentials, while remote Model Context Protocol connectors let outside agentic services interface directly with Agent Mode. Because the agent runs inside the customer environment on full telemetry rather than a sampled slice, groundcover argues its recommendations reflect what is actually running in production.
