Demi vs OpenRig
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Demi compared with OpenRig
| Detail |
Demi |
OpenRig |
| What it does | The AI assistant who gets work done, before it slips
| A persistent team of coding agents
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Open source
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| Pricing | Free plan with up to $50 in free credits; Individual plan $25/month including 5,000 credits per month; Team plan with custom pricing.
| Not given
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| Key features | - Drafts email replies in your voice
- Prepares meeting briefs automatically
- Captures and tracks commitments
- Updates CRM automatically
- Connects to 100+ tools including Gmail, Slack, and HubSpot
- Learns work patterns without workflow setup
- Morning and evening digests of what needs attention
- Surfaces forgotten follow-ups and open loops
| - Start teams with one command and manage agents across multiple machines
- Mix Claude Code, Codex and Pi agents in one team
- Agents delegate and coordinate work with named task assignments and queue ownership
- Agents message each other directly and read each other's screens
- Restore agent conversations after restart or reboot from snapshots
- Choose different models and reasoning effort per agent
- Bring custom harnesses and integrate with MCP servers and Claude Desktop
- Start Docker Compose services alongside agent teams
- Control message filtering with typing guards and chat broadcasts
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| What makes it different | - Proactive: surfaces work that needs attention before you ask, rather than waiting for you to prompt
- No setup required: builds workflows automatically from your patterns, not from a configuration wizard
- Full control: everything external or consequential waits for your approval before sending or changing systems
- Multi-tool context: learns across all your tools to understand your tone, priorities, and patterns
- Privacy-first: data encrypted end-to-end, SOC 2 Type II compliant, and never used to train models
| - One conversation interface with a lead agent coordinating specialists behind the scenes
- Mix multiple coding models and harnesses in one managed team
- Run entirely self-hosted on your own machine with no external coordination
- Open source with Apache 2.0 license and extensible harness contracts
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 32 ▼ −1 (down) since last check | 28 ● no change since last check |
| Trust Flow (Majestic) | 6 | 6 |
| Citation Flow (Majestic) | 32 | 36 |
| Referring domains (Majestic) | 144 | 191 |
4 details filled in for both companies.
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