# Hai vs. OpenClaw

Canonical: https://usehai.ai/compare/openclaw

Markdown: /compare/openclaw.md

Description: OpenClaw-style agents are useful for browser and computer tasks. Hai focuses on the company workspace around those actions: context, permissions, collaboration, artifacts, and rollout.

Page: Hai vs. OpenClaw comparison.

For: Teams comparing Hai with OpenClaw.

Hai can: Hai is built for governed team workflows where agents act with business context, create reusable artifacts, and operate inside a shared workspace.

OpenClaw-style agents are useful for browser and computer tasks. Hai focuses on the company workspace around those actions: context, permissions, collaboration, artifacts, and rollout.

## Summary

- **Hai:** Hai is built for governed team workflows where agents act with business context, create reusable artifacts, and operate inside a shared workspace.
- **OpenClaw:** OpenClaw-style systems focus on giving agents computer and browser access so they can operate software on behalf of a user.

## Comparison

- **What it is**
Hai: A company workspace for agents, shared knowledge, channels, tasks, live artifacts, and governed tool access.
OpenClaw: An agentic access layer for controlling browsers or apps to complete tasks on a user's behalf.
Takeaway: Hai wraps agentic action in the operating model a company needs to adopt it.
- **Where work happens**
Hai: Work can start in Slack, Teams, or the web workspace, then persist as tasks, widgets, notes, files, and shared threads.
OpenClaw: Work often centers on a single agent run or browser session rather than a durable shared workspace.
Takeaway: Hai is designed for multiplayer follow-through, not only task execution.
- **Business systems**
Hai: Hai connects through governed integrations and workspace primitives so context can be indexed, searched, reused, and acted on with scope.
OpenClaw: Computer-use agents can operate many interfaces, but the business context and permission model usually sit outside the action loop.
Takeaway: Hai makes company context and access boundaries first-class.
- **Outputs**
Hai: Hai can produce live widgets, task boards, scorecards, bookings, triage queues, notes, and artifacts that the team can keep using.
OpenClaw: The output is usually task completion or a generated result from the agent session.
Takeaway: Hai emphasizes reusable work surfaces after the agent finishes.
- **Governance**
Hai: Hai is designed around scoped integrations, shared workspace policies, reviewable actions, and enterprise security review.
OpenClaw: Computer-use tools need additional surrounding policy, audit, and rollout controls for company-wide use.
Takeaway: Hai is positioned for controlled adoption across teams.

## Choose Hai When

- You need a shared AI workspace, not only an agent that can operate software.
- Teams need memory, artifacts, tasks, channels, and permissions around agent work.
- You want business systems connected through governed integrations and reusable context.
- Enterprise rollout, auditability, and access scope matter from the start.

## Choose OpenClaw When

- You mainly need a personal agent to operate a browser or app interface.
- The work is a one-off task rather than a recurring company workflow.
- You are comfortable handling workspace memory, review, and rollout outside the agent layer.