| What it does | Agentic AI code review for GitHub and GitLab that reviews every pull request in parallel and never stores your code
| Cut Claude Code, Codex & Gemini quota burn by 60–72% with persistent AI coding memory and deterministic verification
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| Stage | Startup
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| Founded | 2026
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| Based in | EU
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| Explorer: free with 50 MCP calls; Oxyo Core: $19/mo (or $15/mo annually) with ~1.9M tokens/week and 300 MCP calls/week; Oxyo Pro: $49/mo (or $39/mo annually) with ~3.8M tokens/week and 1,250 MCP calls/week; Oxyo Max: $99/mo (or $79/mo annually) with ~7.5M tokens/week and 5,000 MCP calls/week. All pl
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| Key features | - Automatic review when pull request or merge request opens
- Inline findings with severity and suggested fix
- Multiple AI models reviewed in parallel with reconciled verdict
- Cross-repository context on every plan
- Interactive conversation via @vetoo-review mentions
- Team memory and VETOO.md review instructions
- Zero source code retention after verdict
- Support for GitHub and GitLab
- Context enrichment with Notion, Linear and Slack
- Learning from team votes and feedback
| - Lifelong persistent memory across sessions retained in an isolated vault
- Automatic belief revision to eliminate contradicted specifications
- Deterministic Python sandbox for verified calculations
- Model Context Protocol integration for IDE connectivity
- Causal root-cause graph tracking
- Visual learning from screenshots and diagrams
- Reusable skill synthesis for algorithmic classes
- Web console, desktop app, and REST API access
- Encrypted BYOK vault for Claude, OpenAI, and OpenRouter
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| What makes it different | - Panel of multiple frontier AI models review each PR in parallel, no single model decides
- Code is deleted immediately after review, never stored or trained on
- Cross-repository checks available on all plans
- Team learns from feedback with consolidated overnight patterns
- Focuses exclusively on code review with no extraneous features
| - 60–72% reduction in token quota burn measured on production 112k-token repositories
- Zero re-sending of context; only ~1k surgical tokens retrieved per turn instead of 50k–200k
- 100% contradiction-free memory with automatic outdated fact retirement
- Unified memory across web, browser, and multiple IDEs
- Model-independent brain; memory portable across AI providers
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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 |
| DR (Domain Rating by Ahrefs) | 1 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 0 | 0 |
| Citation Flow (Majestic) | 25 | 0 |
| Referring domains (Majestic) | 21 | 0 |