BearDrive vs mpai: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of BearDrive and mpai — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
B
BearDrive
Runbear
Open-source shared folder that syncs the files your team's AI agents create, with versions, authorship, and shareable links — no server required.
Key features
- 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.
Best for
- 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.
mpai
mpai (open source)
Terminal-native, open-source tool that lets a teammate join your live Claude Code or Codex session over a private tailnet.
Key features
- Live Session Join: A teammate opens your in-flight Codex or Claude Code conversation from their own terminal without losing context.
- Named Identity Prompting: Every prompt is attributed to the person who typed it, so audit trails show who steered the agent.
- Private Tailnet Transport: Sessions travel over a Tailscale-style overlay network — no public relay, no third-party server.
- Terminal-Native, No New IDE: Works with the CLI agents you already run; nothing changes about your editor or model.
- Ephemeral Rooms: Start a short-lived room (e.g. 5-minute) for a quick pair session and it closes on its own.
- Access Controls and Audit: Presence, transcript, list, and prompt routes all share the same access check with an audit log.
- Open Source: Full source is on GitHub; self-host end to end.
Best for
- Pair Debugging: Hand a stuck agent session to a teammate so they can prompt from their own terminal without cloning context.
- Code Review of Agent Work: Reviewer joins live to steer or challenge the agent instead of reading the diff cold.
- Onboarding: Senior engineer takes a junior through a real agent session in real time.
- Long-Running Task Hand-off: Pass a multi-hour Codex refactor to the next shift without losing the running conversation.
- Security-Conscious Teams: Collaborate on agent work without routing traffic through a hosted SaaS relay.