OpenRig vs DeepClause
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
OpenRig compared with DeepClause
| Detail | 
OpenRig | 
DeepClause |
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| What it does | A persistent team of coding agents
| Executable SOPs and specs for reliable, auditable agents
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| Stage | Not given
| Not given
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| Founded | Not given
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| Based in | Not given
| Not given
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| Pricing model | Open source
| Not given
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| Pricing | Not given
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| Key features | - 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
| - Compile SOPs into executable Skills
- Deterministic rule execution in DML
- Complete audit trails and run records
- Export to MCP servers and Claude
- WebAssembly sandbox for secure execution
- Static taint analysis
- Support for local and on-premises models
- Decision models with branching
- Visual audit diagrams
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| What makes it different | - 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
| - Deterministic control flow eliminates model-only decisions in regulated operations
- Built-in compliance and audit trails by construction
- Runs well on local models with deterministic scoping
- Convert lengthy SOPs into verifiable executable programs
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 36 | 20 |
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| Referring domains (Majestic) | 191 | 26 |
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3 details filled in for both companies.
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