| What it does | Keep the why with your code
| Framework for building production ready MOQ applications
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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 | Open source
| Open source
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| Pricing | Not given
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| Key features | - Records stated reasoning for changes the agent logs
- Entity-level attribution for code elements
- Retrieves recorded attempts and outcomes
- Groups related changes across files
- Full-text search over change history
- Exports to Agent Trace format
- Local SQLite storage with no hosted backend
- MCP and CLI interfaces
- Concurrent readers and writers with WAL mode
| - Streams connecting cameras, microphones, screens, AI models and code
- Zero-copy GPU frame handling
- Real-time AI model inference on live video
- Test and reload with file watching
- Built-in debugging with frame flow visibility
- Headless and display-based deployment
- Type-aware node inputs and outputs
- Built-in nodes for cameras, audio, codecs
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| What makes it different | - Zero network dependencies; all storage and history queries run locally
- Captures reasoning at the time of change from the agent's own context
- MIT-licensed open source with no vendor lock-in
- Works with any compatible AI agent through standard MCP protocol
- Validates reasoning quality to surface low-quality logs
| - Built from ground up by streaming experts for real-time live data handling
- Complete runtime and framework in single codebase
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 36 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 31 | 0 |
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| Referring domains (Majestic) | 97 | 0 |
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