Google ADK vs 
Agent Barn
Google ADK vs Agent Barn compared for 2026 — features, license, ease of use, performance and which one to choose. Google's official Agent Development Kit vs Runs AI agents in Slack, Teams and Telegram, self-hosted.
Updated regularly · curated by olud.ai
Google ADK vs Agent Barn at a glance
| Spec | Google ADK | Agent Barn |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent framework | Agent control plane (self-hosted) |
| License | Apache-2.0 | Not stated on the site |
| Runs locally | Partial | Yes |
| Primary language | Python | Not stated on the site |
| Ease of use | Intermediate | Advanced |
| Best for | production agents on the Google/Gemini stack | for ops teams running supervised agents on a Kubernetes cluster they operate |
| GitHub stars | 22k | — |
How Google ADK and Agent Barn score
| Criterion | Google ADK | Agent Barn |
|---|---|---|
| Popularity | 3.5 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 3.5 | 2.5 |
| Privacy | 3.5 | 5.0 |
| License freedom | 5.0 | 3.5 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Google ADK
ADK is Google's code-first framework for building, evaluating and deploying agents: hierarchical multi-agent systems, workflow control, built-in eval and a path to Vertex AI.
- Model-agnostic but optimized for Gemini
- Workflow agents give deterministic orchestration
- Built-in evaluation and deployment story
Agent Barn
A self-hosted control plane for AI agents, deployed with Helm to your Kubernetes cluster, with PostgreSQL and LiteLLM. Agents are defined in Markdown bundles, connected to services such as Jira, GitHub and Gmail, and reached from Slack, Teams and Telegram. The site states no price or license. Note before using it: the agents hold credentials to your internal systems and act on their own, so checking their work stays with your team.
- Deploys with Helm to a Kubernetes cluster you operate, with PostgreSQL and LiteLLM
- Runtime chosen per agent, OpenClaw or Hermes; reached from Slack, Teams and Telegram
- Conversations, tool calls, logs, lifecycle state and model costs, per agent and by role
Key differences
Google ADK is agent framework, while Agent Barn is agent control plane (self-hosted). Their licenses differ (Apache-2.0 vs Not stated on the site), which matters if you ship a commercial product. Google ADK leans more intermediate-friendly, whereas Agent Barn is more suited to advanced users. They also differ in how they run (Partial vs Yes). In short, Google ADK fits production agents on the Google/Gemini stack, and Agent Barn fits for ops teams running supervised agents on a Kubernetes cluster they operate.
Which should you choose?
Choose Google ADK for production agents on the Google/Gemini stack. Choose Agent Barn for for ops teams running supervised agents on a Kubernetes cluster they operate.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Google ADK or Agent Barn easier to use?
Google ADK is generally the easier of the two to get started with, while Agent Barn rewards more setup with more control.
Are Google ADK and Agent Barn free?
Google ADK is free and open source (Apache-2.0), and Agent Barn is free and open source (Not stated on the site). Neither charges for the core software.
Can I run Google ADK and Agent Barn locally?
Google ADK: partial · Agent Barn: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Google ADK vs Agent Barn — which should I pick in 2026?
Choose Google ADK for production agents on the Google/Gemini stack. Choose Agent Barn for for ops teams running supervised agents on a Kubernetes cluster they operate.
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