Agent Barn is a self-hosted control plane for creating, configuring, running, and monitoring AI agents across Slack, Microsoft Teams, Telegram, and business systems.
Agent Barn is a self-hosted control plane for running AI agents from one place. It is designed to let teams create, configure, run, and monitor agents that operate in Slack, Microsoft Teams, Telegram, and connected business systems.
The site positions the product as orchestration software for agents rather than a single agent app. It runs on a customer’s Kubernetes infrastructure with Helm, uses PostgreSQL for product state and LiteLLM for model routing, and supports multiple runtimes such as OpenClaw and Hermes.
Run agents from a self-hosted control plane instead of a separate hosted SaaS environment. The site says Agent Barn deploys to your Kubernetes cluster, with PostgreSQL for product state and LiteLLM for model routing and cost attribution.
Expose agents through Slack, Microsoft Teams, and Telegram so users can interact with them in the channels they already use. The homepage frames this as control from one place across chat and internal tools.
Create reusable Markdown templates that define an agent’s role, identity, instructions, tools, startup behavior, and restrictions. This is meant to make agent setup repeatable across teams and workflows.
Attach reusable skills and encrypted credentials to connect agents with systems such as Jira, Confluence, GitHub, Bitbucket, and Gmail. The product also positions skills as the way to reach internal services and data sources.
Inspect conversations, tool executions, logs, lifecycle state, and model costs in the control plane. The homepage presents this as the main way to understand what each agent did and why.
Assign a runtime per agent, with OpenClaw or Hermes mentioned as supported runtimes. Agent Barn manages each agent’s pinned configuration, skills, credentials, and lifecycle across the chosen runtime.
Collect RFQ context from shared channels or source systems, identify missing information, and prepare the next action for manufacturing teams that need a structured intake process.
Combine product data, prior examples, and calculation tools to prepare quotes for review instead of starting from a blank spreadsheet.
Orchestrate auditable scripts or domain tools that compare drawings, nesting output, or specifications against agreed rules before work moves ahead.
Gather current status across systems and turn it into concise updates for customers, operations staff, or project teams.
Classify new legal requests, extract the key facts, route work to the right owner, and gather evidence, dates, and correspondence for repetitive matters.
Agent Barn is deployed into your Kubernetes cluster and runs in your infrastructure. The manifesto and homepage both describe it as self-hosted, with Helm used for deployment and PostgreSQL plus LiteLLM supporting the control plane.
Yes. The homepage says Agent Barn supports Slack, Microsoft Teams, and Telegram, and the agents are reachable from the channels your team already uses.
No. The homepage says you can choose a runtime per agent, with OpenClaw or Hermes, and Agent Barn handles configuration, skills, credentials, and lifecycle for each one.
The site points to pilot scopes rather than published plans or prices. The pricing page is a 404, and the homepage invites teams to scope a pilot around a workflow and measurable outcome.
Agents can connect to internal systems through skills and encrypted credentials. The homepage names Jira, Confluence, GitHub, Bitbucket, Gmail, and other services as examples.
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