# Agent Barn Agent Barn is a self-hosted control plane for creating, configuring, running, and monitoring AI agents across Slack, Microsoft Teams, and Telegram, with conversations, tool activity, and costs kept visible. - Findings24: - Website: - Pricing: Freemium - Categories: Analytics & BI ## What is Agent Barn? Agent Barn is a self-hosted orchestration layer for AI agents. It provides one place to create agents, attach tools and credentials, run them in chat channels, and monitor what they do from a shared control plane. The product is built for teams that want agents to work inside existing collaboration tools while remaining hosted in their own infrastructure. The site emphasizes Slack, Microsoft Teams, and Telegram as supported chat surfaces, plus deployment to Kubernetes with Helm and product-state storage in PostgreSQL. ## What can Agent Barn do? ### Self-hosted control plane Deploy Agent Barn to your own Kubernetes cluster so agent data, credentials, and execution stay in your environment. ### Chat-based agent access Reach agents from Slack, Microsoft Teams, and Telegram, allowing teams to interact with them through channels they already use. ### Reusable templates and skills Define agent roles, instructions, startup behavior, tools, and restrictions in versioned Markdown bundles, then reuse skills across agents. ### Connected tool access Link agents to external systems such as Jira, Confluence, GitHub, Bitbucket, and Gmail using scoped credentials and integrations. ### Lifecycle and observability controls Inspect conversations, tool calls, logs, lifecycle state, and model costs for each agent you are allowed to access. ### Multiple runtimes Choose a runtime per agent; the site names OpenClaw and Hermes as supported runtime options. ## Use Cases ### Operations reporting in chat Ask an agent to assemble a delivery report, gather signals from connected tools, and post the result back to Slack or Teams on a schedule. ### Workflow automation across systems Use an agent to search Jira, check GitHub activity, read Confluence updates, and combine those inputs into a single task or summary. ### Production coordination Apply agents to manufacturing workflows such as RFQ intake, custom quoting, drawing checks, and order status coordination. ### Legal operations support Use supervised agents for repetitive legal work such as procurement claims, precedent search, document review, and email intake routing. ### Internal self-hosted agent operations Run and monitor a fleet of agents from one control plane when your team wants visibility into conversations, tool usage, and costs. ## Frequently Asked Questions ### Where do the agents run? They run in your infrastructure. The site says Agent Barn deploys with Helm to your Kubernetes cluster, with PostgreSQL for product state and LiteLLM for model routing. ### Which chat platforms are supported? Slack, Microsoft Teams, and Telegram are listed on the homepage. The documentation also references Discord in its platform category list. ### Can I choose different agent runtimes? Yes. The homepage and manifesto say you can choose a runtime per agent, including OpenClaw or Hermes. ### What kinds of systems can agents connect to? The site explicitly mentions Jira, Confluence, GitHub, Bitbucket, and Gmail, and the manifesto says the platform is designed for extensible integrations. ### Is pricing published? No pricing information was available on the pricing URL provided; that page returned a 404 in the collected source. ## Quick Facts - **Category**: AI Agent Orchestration - **Deployment**: Self-hosted on Kubernetes - **Host infrastructure**: Your own environment - **Supported chat platforms**: Slack, Microsoft Teams, Telegram - **Example integrations**: Jira, Confluence, GitHub, Bitbucket, Gmail - **Runtime options mentioned**: OpenClaw, Hermes