Astryx vs BearDrive: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Astryx and BearDrive — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Astryx

150+ Accessible Components: A cohesive React component library covering forms, navigation, data display, feedback, and more, all built for accessibility.
Agent-Ready CLI: A scriptable CLI (`astryx component list`, docs, scaffolding, codemods) that Cursor, Claude Code, and Codex can drive directly.
Swizzle for Full Ownership: Eject a component's full source into your project when you need to customize beyond props — no forking the library.
Theme via CSS Variables: Themes are CSS custom-property overrides, so designers can rebrand Astryx without wrapping or forking component source.
No Styling Lock-In: Styles are authored with StyleX internally but you override with Tailwind, CSS modules, or plain CSS — no library adoption required.
Seven Ready-Made Themes: neutral, butter, chocolate, matcha, stone, gothic, and y2k themes ship out of the box and are fully customizable.
Dark Mode + Brand Theming: Brand-level theming and dark mode work together across every component without extra wrapping.
Live Docs, Storybook & Sandbox: Full docs at astryx.atmeta.com, a hosted Storybook, and an interactive Sandbox for humans and agents to explore.

AI-Assisted UI Builds: Let an agent scaffold a React app that a designer and engineer both extend, all from the same component and CLI reference.
Rapid Product Prototyping: Assemble accessible screens from ready-to-ship templates and swap themes to prototype multiple brand directions.
Design System Adoption: Replace a hand-rolled component library with a maintained, accessibility-audited system without changing your styling approach.
Rebrand Without Forking: Ship a distinct visual identity by overriding CSS custom properties instead of forking the component source.
Multi-Framework Codebases: Bring Astryx into a project that already uses Tailwind, CSS modules, or plain CSS without adopting a new styling library.
Component-Level Customization: Use swizzle to eject specific components when you need internal control while keeping the rest of the system managed.

Runbear

Free

Open-source shared folder that syncs the files your team's AI agents create, with versions, authorship, and shareable links — no server required.

Filesystem-native sharing: The shared surface is your local filesystem, so any AI agent that writes files can participate without a special SDK.
Second-scale sync: Files sync to teammates within seconds of being written, so an agent's output is immediately available to another teammate's agent.
Automatic versioning: Every synced change becomes a version that is kept, attributed to a user or agent, and restorable.
Shareable web view: Every file gets a link you can drop into Slack; teammates open a web view of the file with no install required.
Team history and authorship: See who — or which agent — produced each file and when, across the whole team.
Open source, self-hostable: AGPL-3.0 with the server, teams, history, and links code publicly available on GitHub.

Agent-produced research sharing: An analyst's research agent drops long-form HTML reports into a shared folder; a teammate's agent reads them the next minute.
Design/data handoff: A design or data agent writes assets or CSVs at a stable path so downstream agents pick them up without brittle Slack uploads.
Cross-agent workflows: One agent's output is another agent's input — BearDrive keeps the artifacts and their versions instead of scattering copies.
Team memory for AI work: Teams keep a browsable history of everything their agents have produced, restorable and attributable.
Self-hosted deployments: Regulated teams host BearDrive on their own infra to keep AI-produced files inside their perimeter.