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Berd Review

Berd is an open-source desktop application for connecting AI providers and managing tasks through a customizable canvas, enabling users to create a suite of AI agents.

shipped Aug 20, 2026agentsfreemium
agents
Berd — product screenshot

Why it matters

1Berd is an open-source desktop application released under an Apache 2.0 license.
2The repository reached version 0.6.2 on August 18, 2026, with 91 contributors.
3It offers a freemium pricing model, with the core application available for free download.
4Berd provides a unified desktop workspace for managing multiple AI agents and models.

About Berd

Platforms
Web
Target Audience
Individuals and teams looking to streamline AI interactions and project management.

Pricing Plans

Free
Free
GitHubOpen Source

Screenshots

overview

What is Berd?

Berd is an AI agent orchestration tool developed by Block that enables engineers, product designers, and builders to create and manage custom AI agents within a unified desktop application. It functions as a 'daily AI work surface' for interacting with various AI agents and models, streamlining workflows by providing a consistent environment across different AI models and agent frameworks.

features

Key Features of Berd

Berd offers a range of features designed to facilitate the creation and management of AI agents and workflows within a consistent desktop environment.

  • Customizable canvas for building and managing AI agent workflows.
  • Support for multiple AI providers, allowing users to select their preferred models.
  • Ability to build unique AI agents with distinct personalities and skills.
  • Integration with existing local projects, folders, and repositories.
  • Management of conversations, files, folders, instructions, and agents within persistent projects.
  • Shaping agents for recurring workflows and maintaining context across tasks.
  • Customizing the workspace to link projects to existing directories.
  • Assignment of 'Gloopies' visual identities to agents, such as Berdy, Pushback, and Choosey.

use cases

Who Should Use Berd?

Berd is primarily designed for individuals and teams engaged in AI agent development and management, providing a structured environment for complex AI workflows.

  • Engineers and product designers creating custom AI agents for various tasks.
  • Builders working with AI agents across projects, skills, tools, and models in a unified desktop application.
  • Individuals and teams seeking a consistent environment for AI agents to manage conversations, files, and instructions.
  • Users requiring persistent projects to shape agents for recurring workflows and maintain context.
  • Developers looking to customize their workspace and link AI projects to existing local folders and repositories.

how to use

How to Use Berd

Berd is a locally installed graphical desktop application, available for macOS, Windows, and Linux, designed for direct interaction with local files and AI agents.

  • 1Download and install the Berd application from berd.xyz or its GitHub repository.
  • 2Launch Berd to access the customizable canvas and workspace.
  • 3Configure AI providers by integrating API keys for chosen models (e.g., Anthropic, OpenAI).
  • 4Create new projects or link to existing local folders and repositories.
  • 5Build and customize AI agents, assigning them 'Gloopies' visual identities and specific skills.
  • 6Initiate conversations, attach files, and manage tasks within persistent projects using selected agents and models.

pricing

Berd Pricing & Plans

Berd operates on a freemium model. The core application is open-source and available for free download and use on macOS, Windows, and Linux. Users incur costs from the underlying AI model, API, or provider they choose to integrate, paying for API key usage per call rather than a subscription to Berd itself.

  • Free: Access to the full open-source desktop application, available for download.

Pros

  • +Open-source under Apache 2.0 license, allowing for broad adoption and modification.
  • +Provides a unified desktop application for managing diverse AI agents and models.
  • +Supports persistent projects, maintaining context across tasks and workflows.
  • +Model-agnostic, enabling users to choose their preferred AI providers and APIs.
  • +Emphasizes local-first operations, integrating deeply with local files and repositories.
  • +Features 'Gloopies' visual identities for agents, aiding in distinguishing specialized agents.

Cons

  • The visual interface, particularly the 'Gloopies' characters, has been described as 'creepy' by some users.
  • The user interface 'needs polish' and some UI quirks, such as not clearly showing which provider is being used, have been noted.
  • As a desktop application, it may not offer the same collaborative features as browser-based platforms (though Block's Buzz aims to address this).
  • Requires users to manage their own API keys and costs for underlying AI models.

Similar Tools

Berd vs Competitors

Berd positions itself as an orchestration layer for AI agents, distinct from foundational models or agent runtimes. It provides a unified desktop workspace, differentiating it from many browser-based AI tools.

1

Provides a visual, drag-and-drop interface for building and deploying AI agents and RAG applications by connecting LLMs, vector databases, and AI tools.

Like Berd, Langflow offers a visual canvas for building AI agent workflows. It is open-source and provides extensive integrations, but its focus is primarily on LLM applications and RAG systems, which might be a narrower scope than Berd's general 'connecting AI providers and managing tasks' if Berd supports a wider array of non-LLM AI services.

2

An all-in-one open-source platform for building production-ready agentic workflows with RAG pipelines, integrations, and built-in observability.

Dify, like Berd, offers a low-code visual builder for AI agents and workflows. It distinguishes itself with integrated RAG pipelines and observability features, providing a more comprehensive platform for deploying and monitoring AI applications, whereas Berd emphasizes a customizable canvas for agent creation.

3

An open-source low-code visual builder specifically for LLM applications and AI agents, offering different building modes for various agentic systems.

Flowise provides a visual drag-and-drop interface for building AI agents similar to Berd's canvas. Its open-source nature and Apache 2.0 license offer complete ownership and flexibility for self-hosting, while Berd's freemium model might have more limitations on the free tier.

4

An open-source framework designed for building multi-agent systems, enabling agents to collaborate and perform complex tasks with access to numerous tools.

CrewAI focuses on orchestrating multiple AI agents for collaborative task execution, similar to Berd's 'suite of AI agents.' However, the core open-source offering is a Python framework, requiring more coding expertise compared to Berd's visual canvas, though it offers high-level abstractions for building.

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