Agent Barn

You start by defining an agent from a versioned template: its role, identity, operating instructions, tools, startup behavior and restrictions, all kept as reusable Markdown bundles. You then assign skills and connect the services it needs, with credentials stored encrypted and scoped per agent. Each agent runs on a runtime you choose, OpenClaw or Hermes, and Agent Barn renders its pinned configuration, attaches its skills and credentials and manages its lifecycle. Once it is running, people talk to it from Slack, Teams or Telegram, schedule recurring reports such as stand-up summaries and project updates, or let it watch for events and carry multi-step workflows forward on its own. Every conversation, tool call, log line and model cost is recorded in the control plane, so an operator can open an agent and see exactly what it did and why.

• •Chat-based control of your tools - Search Jira, check GitHub activity, update a CRM or pull knowledge from Confluence by talking to an agent in Slack, Microsoft Teams or Telegram.
• •Scheduled reports and autopilot workflows - Agents deliver stand-up summaries, project updates and operational reports on a schedule, and can monitor events and coordinate multi-step tasks without someone prompting each step.
• •Versioned templates and reusable skills - Agent definitions live in versioned Markdown bundles, and skills and integrations can be reused across agents, so a working setup can be copied rather than rebuilt.
• •Observability and cost tracking - The control plane shows active agents, current work, lifecycle state, tool executions, logs and model costs per agent, with a dashboard of recent tool activity.
• •Organizations and access control - Roles and per-agent access rules decide who can see and operate which agents, which matters once several teams share one deployment.
• •Self-hosted or managed - Run the open-source control plane on your own Kubernetes cluster for free, or use a managed cloud tier that includes hosting, upgrades and a monthly usage allowance.

Agent Barn suits engineering and operations teams that want AI agents handling coordination work, such as delivery reports, pull request reviews, issue triage and approval follow-ups, without handing their data to another hosted assistant. Platform teams that already run Kubernetes can self-host it and keep every credential inside their own environment. Engineering managers and team leads get scheduled summaries in the channels they already read. Companies in manufacturing and legal operations, which the vendor targets with dedicated pilots, can start with one supervised workflow such as RFQ intake, order status updates or document checks before rolling agents out more widely. Smaller teams that do not want to operate the infrastructure can start on the cloud tier with a single agent.