Central agent control plane
Manage organizations, agent access, templates, skills, lifecycle state, conversations, tool calls, logs, costs, and runtime assignments from one operational layer.
Agent Barn
Freemium
Agent Barn is a self-hosted control plane for creating, configuring, running, and monitoring AI agents across team communication channels and connected business systems. It helps operations, manufacturing, legal, and technical teams supervise repeatable workflows from infrastructure they manage.
What is Agent Barn?
Agent Barn is a self-hosted platform for operating AI agents from a central control plane. Teams can create agents, assign each one a runtime and versioned behavior, connect skills and business systems, and make agents available through Slack, Microsoft Teams, Telegram, Discord, deployment-enabled email, or built-in Web Chat.
The platform is designed for work that involves recurring requests, cross-system research, status collection, and multi-step coordination. An agent can search Jira, review GitHub activity, retrieve information from Confluence, update connected systems, prepare reports, or run a defined workflow. Teams can also schedule recurring reports and operational checks through supported communication channels.
Agent Barn emphasizes supervised operation. Organizations can control access, inspect conversations and tool calls, review logs and lifecycle state, and attribute model costs. Agents run in infrastructure managed by the customer, with Kubernetes deployment through Helm, PostgreSQL for product state, and LiteLLM for model routing and cost attribution.
What can Agent Barn do?
Multiple agent runtimes
Select OpenClaw or Hermes for each agent. Agent Barn renders the pinned configuration, attaches the relevant skills and credentials, and manages the agent lifecycle.
Versioned templates and skills
Define an agent’s role, identity, operating instructions, tools, startup behavior, and restrictions in reusable Markdown bundles, with explicit publishing and immutable versions documented for templates and skills.
Scoped integrations and credentials
Connect agents to services such as Jira, Confluence, GitHub, Bitbucket, Gmail, and other supported tools through skills, encrypted credentials, Agent Secrets, shared credentials, or scoped OAuth access.
Observable activity and governance
Review conversations, tool executions, logs, lifecycle state, communication-connection health, access, and model costs for the agents a user is permitted to access.
Self-hosted deployment
Deploy the production stack to an existing Kubernetes cluster with Helm and Helmfile, using PostgreSQL for product state and LiteLLM for model routing and cost attribution.
Use Cases
“Recurring delivery and project reports”
An agent can combine Jira issues, GitHub activity, and Confluence updates into a delivery report, flag blockers, post it in a team channel, and run it on a recurrence.
“Manufacturing RFQ and quoting coordination”
An agent can collect incoming request context, identify missing information, and bring product data, previous examples, and purpose-built calculation tools together for a quote review.
“Engineering and production checks”
Manufacturing teams can use an agent to coordinate drawing, nesting, or specification checks by calling auditable scripts or domain systems while keeping exact calculations and engineering decisions in those purpose-built systems.
“Legal operations support”
Supervised agents can collect evidence for procurement claims, search approved knowledge sources for precedents, identify clauses and facts in documents, and classify or route new email requests for lawyer review.
“Team workflow automation”
Ready-made recipes support email reminders, Jira task creation, pull-request review, Scrum Master activities, Confluence updates, and general-purpose Slack tasks, with setup covering channels, tools, permissions, and operating instructions.
Frequently Asked Questions
Where do agents run?
Agents run in infrastructure managed by the customer. Agent Barn can be deployed to a Kubernetes cluster with Helm, with PostgreSQL for product state and LiteLLM for model routing.
Which communication platforms are supported?
The documented platform connections include Slack, Microsoft Teams, Telegram, Discord, deployment-enabled email, and built-in Web Chat. The homepage specifically highlights Slack, Microsoft Teams, and Telegram.
Can different agents use different runtimes?
Yes. Each agent can use a selected runtime, with OpenClaw and Hermes documented as available choices. Agent Barn manages the pinned configuration, attached skills and credentials, and lifecycle for the selected runtime.
How can teams review what an agent did?
The control plane records conversations, tool calls, logs, lifecycle information, and costs. Access is governed so users can inspect the activity of agents they are permitted to access.
Can agents connect to internal systems?
Yes. Skills and controlled credential mechanisms connect agents to external tools and data sources, with access scoped per agent. Supported examples include Jira, Confluence, GitHub, Bitbucket, and Gmail.
Quick Facts
- Product type
- Self-hosted AI agent operations platform
- Primary users
- Operations, manufacturing, legal, and technical teams
- Communication channels
- Slack, Microsoft Teams, Telegram, Discord, email, and built-in Web Chat
- Agent runtimes
- OpenClaw and Hermes
- Deployment
- Kubernetes with Helm and Helmfile
- Example workflow
- Cross-system delivery reporting with scheduled channel updates
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