Plasma AI vs OpenRig
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Plasma AI compared with OpenRig
| Detail |
Plasma AI |
OpenRig |
| What it does | Infrastructure for autonomous organizations with memory, coordination, governance, and traceability for AI agents
| A persistent team of coding agents
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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
| Not given
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| Pricing model | Not given
| Open source
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| Pricing | Not given
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| Key features | - Memory and persistent record-keeping for agent decisions
- Governance and execution control for autonomous systems
- Traceability of all decisions and results
- Data integrity and validation systems
- Coordinate parallel teams of AI agents
| - 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 | - Built on proven autonomous trading infrastructure from Omega Strategies
- Enables large-scale agent collaboration with visibility and control
- Enforces boundaries, budgets and continuous performance evaluation
| - 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) | 23 ▼ −1 (down) since last check | 28 ● no change since last check |
| Trust Flow (Majestic) | 12 | 6 |
| Citation Flow (Majestic) | 30 | 36 |
| Referring domains (Majestic) | 112 | 191 |
3 details filled in for both companies.
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