BearDrive

One shared folder every AI agent on your team can read and write

#open-source #shared-storage #agents #versioning

Quick answer

BearDrive — One shared folder every AI agent on your team can read and write. It's freemium. Best for collecting and reviewing artifacts produced by multiple coding agents across a team.

BearDrive is an open-source shared file system designed specifically for teams running multiple AI coding agents, giving every agent on the team a common folder where it can read and write real files at real paths. Instead of agent-produced artifacts ending up stranded on individual laptops or scattered across disconnected environments, BearDrive creates a single, versioned, attributed repository that all agents and team members can access instantly via shareable links generated seconds after a file is written. The tool is built by the Runbear team and supports popular storage backends including S3, GCS, Cloudflare R2, MinIO, and plain disk, making it flexible for both self-hosted and managed deployments. BearDrive is ideal for engineering teams where several developers run coding agents simultaneously and need a reliable way to collect, review, and share the output those agents produce without any integration work. Because it works with anything that writes a file, adoption is frictionless, and the complete server is open-sourced under AGPL-3.0 with verified two-way portability between managed and self-hosted environments via bdrive export and import commands.

Key features

Shared folder with real file paths readable and writable by any AI agent
Version history and per-agent-session attribution for every file written
Shareable links generated seconds after a file is written
Supports S3, GCS, R2, MinIO, and plain disk as storage backends

Pros & cons

PROS

+Full AGPL-3.0 server source code released with no stripped-down core
+No integration required since any tool that writes files works out of the box
+Verified two-way portability between self-hosted and managed tiers via export and import

CONS

−Managed service is in beta with no announced pricing or end date for the beta period
−AGPL-3.0 license can be a blocker for some legal reviews, pushing those teams toward the unpriced managed tier

Pricing

Free tier

Self-hosted free forever under AGPL-3.0; managed service free during beta

Paid from

Pricing on request

Enterprise

Contact for pricing

Who is it for

→Collecting and reviewing artifacts produced by multiple coding agents across a team
→Sharing agent-generated files with teammates instantly via a link
→Self-hosting a fully open-source AI agent file system on your own infrastructure

Frequently asked questions

Is BearDrive free?

Yes. The self-hosted version is free forever under the AGPL-3.0 license. The managed cloud service is also free during its current beta period, though paid team plans have not yet been announced.

What is BearDrive best used for?

BearDrive is best used by engineering teams where multiple developers run AI coding agents simultaneously and need a central, versioned location to collect and share the files those agents produce, instead of letting artifacts pile up on individual machines.

What are the best alternatives to BearDrive?

Alternatives include general cloud storage solutions like AWS S3 or Google Cloud Storage mounted as shared drives, GitHub repositories used as artifact stores, or custom network file shares. None of these are purpose-built for multi-agent attribution and instant shareable links the way BearDrive is.

Is BearDrive safe to use?

The full server source code is publicly available under AGPL-3.0, so security-conscious teams can audit the codebase before deploying. Self-hosted deployments give teams complete control over their data. The managed service is in beta, so teams with strict compliance requirements may prefer the self-hosted option.

How much does BearDrive cost?

Self-hosting is free forever under AGPL-3.0. The managed service is currently free during beta. Paid team plans for the managed service have not yet been announced, so pricing is available on request from the Runbear team.

Reviews

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