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Berd

Open Source
• Updated Aug 19, 2026, 09:15 PM

Berd is an open-source desktop application developed by Block for working with AI agents.

Use Cases ▼
01

Managing AI agents for coding tasks across multiple local projects

02

Creating and sharing custom AI agents with teammates

03

Connecting agents to external tools and model providers via connections

04

Applying specialized skills to automate repetitive development workflows

05

Working with the Goose backend in a graphical desktop environment

What Problem It Solves ▼

Berd addresses the challenge of managing AI agents from a command-line or fragmented interfaces by providing a unified desktop application. It simplifies running agents over local codebases with per-folder worktree behavior, while offering built-in management of agents, skills, and connections, making agent collaboration and sharing straightforward.

Key Features ▼
✓

Open-source and free to use

✓

Native desktop app with project-centric interface

✓

Built on the robust Goose backend

✓

Supports agent, skill, and connection management

✓

Enables agent sharing and collaboration

Overview

Berd is an open-source desktop application developed by Block for working with AI agents. It provides project-based chats that leverage per-folder worktree behavior, allowing users to manage agent conversations within the context of their local code repositories and file structures. The application is built on top of the Goose backend, an AI agent framework that orchestrates language model interactions.

Full Description ▼

Berd centralizes several capabilities in a single interface: management of agents, skills, and connections, as well as the ability to share agents with others. This makes it possible to reuse and distribute custom agent configurations, connect to different AI models or tools, and apply specialized skills to tasks. Because it is open source, users can inspect, modify, and self-host the tool if desired.

The desktop app is designed for developers and technical users who want a convenient GUI for agent-based workflows without losing the flexibility of an open-source, local-first approach. It supports working across multiple projects and folders, with worktree awareness that helps isolate changes and manage agent context per branch or directory.

Pros & Cons

Pros

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Open-source and free to use

+

Native desktop app with project-centric interface

+

Built on the robust Goose backend

+

Supports agent, skill, and connection management

+

Enables agent sharing and collaboration

Cons

−

Requires familiarity with AI agent concepts

−

Desktop only; no web or mobile version

−

Local setup may require technical expertise

−

May depend on external model providers for full functionality

−

Still early-stage as an open-source project

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