withHuman vs Ottermind
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
withHuman compared with Ottermind
| Detail |
withHuman |
Ottermind |
| What it does | The approval layer for AI agents
| AI agent workspace that turns ideas into finished, editable work
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| SG
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| Pricing model | Freemium
| Freemium
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| Pricing | Open Source: free and self-hosted. Free: $0/month hosted plan with up to 5 members. Scale: $20 per user per month. Enterprise: Custom annual contract.
| Free plan with 50 one-time welcome credits and 1 GB cloud storage. Otter Solo: $16/month (billed yearly, regularly $19/month) with 2,000 credits/month and 5 GB cloud storage. Otter Squad: $39/month (billed yearly, regularly $49/month) with 5,500 credits/month and 50 GB cloud storage. Otter Colony: $
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| Key features | - Tool call interception for all agent frameworks
- Automatic approval rules to prevent fatigue
- AI judge for complex rule evaluation
- Works with LangGraph, CrewAI, Mastra, Claude Agent SDK and more
- Open Agent Approval Protocol for framework independence
- Self-hosted or cloud-hosted deployment options
- Custom permission policies and organization controls
| - Retains context across projects and files
- Acts across tools and connected services
- Adapts to user preferences and patterns
- Works across web, desktop, and mobile
- AI PPT generation with GPT Image 2
- Editable results after generation
- Multiple AI model support
- Data privacy and security controls
- Cloud computer resources
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| What makes it different | - Framework-agnostic: works with any AI agent through the open Agent Approval Protocol
- No vendor lock-in: open source spec and SDKs let you swap providers without rewriting agents
- Comprehensive audit trail for accountability and compliance
- Meets reviewers where they work with multi-platform notifications
- Policy-based routing to eliminate approval bottlenecks
| - Works for you instead of just chatting—retains memory, orchestrates agents, and carries tasks across steps
- Keeps project context organized in one workspace rather than scattered across chats
- Delivers editable, finished results instead of just raw outputs
- Learns from your work and adapts to your preferences over time
- Built for resilience with error recovery and approval controls
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 30 ▼ −1 (down) since last check | 32 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 6 | 9 |
| Citation Flow (Majestic) | 28 | 40 |
| Referring domains (Majestic) | 48 | 239 |
6 details filled in for both companies.
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