Designed to move the world from prompting to delegating. Legacy AI platforms run as isolated chatbots. K-Claw is a Kubernetes-native orchestration layer that provides persistent, distributed AI agents with secure memory, scalable execution, and enterprise security directly inside your existing infrastructure.
State the outcome once. Agents keep working across sessions, systems, and schedules.
Agents run as scheduled, scalable workloads in the cluster your platform team already operates.
Enterprise security and secure memory, with no data leaving the infrastructure you control.
Recurring and triggered work that runs without anyone opening a chat window.
One secure memory layer every agent reads from, so context survives between tasks.
Your chief of staff sits in Slack like any other staffer: message it, and it holds your priorities and delegates to the rest of the fleet.
Agents authenticate to third-party services through a centralised proxy — no credentials scattered across workloads.
Native Model Context Protocol support so agents can connect to any MCP-compatible tool or data source out of the box.
A first-class command-line interface for deploying agents, managing clusters, and scripting into CI pipelines.
A shared, versioned library of reusable agent skills your whole team can publish, discover, and compose.
API keys and secrets are encrypted at rest inside your cluster — never stored in plaintext or sent outside your perimeter.
Run open-weight models alongside hosted APIs — keep sensitive workloads fully on-prem when the task demands it.
Community Edition is source-available and free to deploy on your own cluster.