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bivy Review

bivy is an open-source, self-hostable agent workspace that enables developers to run coding agents on machines they own.

shipped Aug 12, 2026freemium
bivy — product screenshot

Why it matters

1Offers an open-source tier at $0, with cloud plans starting at $15/month.
2Supports unlimited agents and machines for coding tasks.
3Provides an API for integration and automation.
4Integrates with GitHub, Slack, CI, Linear, and Webhooks.

About bivy

Business Model
Freemium SaaS
Platforms
Web, CLI
Target Audience
Developers looking to run coding agents on their own infrastructure.

Pricing Plans

Open source
$0
  • Open source under AGPL-3.0
  • Every feature, unlimited
  • Unlimited interactive sessions
  • Automations and routing
Cloud
$15/mo
  • 25-session free trial — no card
  • Everything in Self-hosted, hosted for you
  • Managed relay + app
  • Automatic upgrades, backups, and TLS
Team
Let's talk
  • Everything in Cloud
  • Shared routing and approvals
  • Onboarding and deployment review
  • Shape roles, SSO, and audit export
API DocsGitHubOpen Source

Specs

API Available

Yes, public API

Screenshots

overview

What is bivy?

bivy is an AI tool developed by bivysh that enables developers to run coding agents on machines they own. It functions as an open-source, self-hostable agent workspace designed to automate coding tasks and manage coding sessions remotely. The platform aims to simplify access and utilization of various AI models through a single interface, eliminating the need to switch between different AI tools for tasks such as writing, research, coding, image generation, and file analysis. Its hosted services were last updated on June 23, 2026, according to its Terms of Service, and the software is source-available under the Functional Source License (FSL-1.1-ALv2).

features

Key Features of bivy

bivy provides a comprehensive set of features for managing and executing coding agents, focusing on flexibility and integration within existing developer workflows. Its core capabilities revolve around self-hosting and remote access.

  • Run coding agents on user-owned machines, ensuring data privacy and control.
  • Start coding sessions manually or configure them for automatic initiation.
  • Automate workflows via integrations with GitHub, Slack, CI pipelines, Linear, and Webhooks.
  • Access persistent coding sessions from various devices, including phones, browsers, or terminals.
  • Supports an unlimited number of machines and agents within the workspace.
  • Offers a unified platform for multiple AI categories, including writing, research, coding, and image generation.
  • Automatically selects the appropriate AI model for a given prompt.
  • Provides built-in refinement options such as 'Ask a different AI', 'Review this answer', and 'Improve this response'.
  • Includes an opt-in overage system for continued usage beyond monthly limits on paid plans.
  • Enables file analysis and creation for various types, including PDFs, documents, spreadsheets, and presentations.

use cases

Who Should Use bivy?

bivy is primarily designed for developers and teams seeking to integrate AI-powered coding agents into their development and operational workflows. Its self-hostable nature and integration capabilities make it suitable for specific technical environments.

  • Developers looking to automate repetitive coding tasks using AI agents on their own infrastructure.
  • Teams requiring remote management of coding sessions and agent execution.
  • Organizations aiming to integrate AI agents into CI/CD pipelines via GitHub, Slack, or other webhook-compatible systems.
  • Users who prefer a single interface for accessing and managing multiple AI models for diverse tasks, including coding, research, and content generation.
  • Individuals and teams prioritizing data control and privacy by running AI agents on self-owned machines.

how to use

How to Use bivy

To begin using bivy, users can either deploy the open-source version on their own infrastructure or subscribe to a cloud-hosted plan. The platform is designed for straightforward integration into existing development environments.

  • 1Access the bivy platform via its web interface or command-line interface (CLI).
  • 2Configure and connect your machines where coding agents will run.
  • 3Deploy or create coding agents tailored to specific development tasks.
  • 4Initiate coding sessions manually or set up automations through integrations like GitHub or Slack.
  • 5Monitor and manage agent activities and persistent sessions from any connected device.
  • 6Utilize the API for programmatic control and deeper integration into custom workflows.

pricing

bivy Pricing & Plans

bivy offers a freemium model with an open-source option and tiered cloud subscriptions. All paid tiers provide access to all AI categories, three intelligence tiers, conversation history, and file uploads/downloads, with annual plans offering a discount equivalent to two months free. An opt-in overage system is available across paid tiers to manage costs while allowing continued usage.

  • Open source: $0/month, providing the core self-hostable agent workspace.
  • Cloud: $15/month (billed monthly), designed for light, regular use with significantly more usage than the Free tier, opt-in overage, and priority email support.
  • Team: Custom pricing, available upon consultation, for larger organizations with specific requirements.

Pros

  • +Enables running coding agents on user-owned machines, enhancing data privacy and control.
  • +Offers an open-source version, providing flexibility and transparency for developers.
  • +Supports unlimited agents and machines, scaling with user needs without additional per-unit costs.
  • +Provides persistent sessions accessible from multiple devices (phone, browser, terminal).
  • +Integrates with common developer tools like GitHub, Slack, and CI pipelines for automation.
  • +Offers a unified interface for various AI models, simplifying AI tool management.

Cons

  • Specific user reviews for the AI tool are not widely available, making user reception difficult to assess.
  • The 'Team' pricing tier requires direct contact for a quote, lacking transparent pricing for larger organizations.
  • Requires self-hosting for the open-source version, which may demand technical expertise for setup and maintenance.
  • While offering a unified AI interface, the depth of integration with each specific AI model (e.g., ChatGPT, Claude) is not fully detailed.
  • The 'Bivvy - A Stateful PRD Framework' mentioned in research is not explicitly integrated or detailed as part of bivy.sh, leading to potential confusion.

Similar Tools

bivy vs Competitors

bivy positions itself as a self-hostable, open-source agent workspace, differentiating from alternatives by focusing on user-owned infrastructure and a unified interface for various AI models. Its competitive landscape includes other agent frameworks and traditional development tools.

1

Provides a comprehensive open-source framework with a web UI for building, deploying, and managing autonomous AI agents.

SuperAGI offers a more structured UI and agent management system compared to Bivy, which might provide a more guided experience for agent development. While Bivy focuses specifically on coding agents, SuperAGI supports a broader range of agent types with similar self-hostable capabilities.

2

A flexible framework from Microsoft for building multi-agent conversation systems, enabling agents to communicate and collaborate to solve tasks.

AutoGen is a powerful library for orchestrating complex agent interactions, offering deep programmatic control over agent behavior, whereas Bivy aims to provide a more integrated 'workspace' experience. Switching to AutoGen means a more code-centric workflow, but with potentially greater flexibility in agent design and collaboration for coding tasks.

3
AutoGPT

An early and influential open-source project that demonstrated autonomous AI agents capable of achieving goals by breaking them down into sub-tasks.

AutoGPT is a specific implementation of an autonomous agent, often run via CLI, while Bivy provides a more general 'workspace' for various coding agents. AutoGPT might require more manual setup and less of a structured UI than Bivy, but it offers a direct, self-hostable agent experience for goal-oriented tasks.

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