| What it does | Open-sourcing Karotte, a framework for building robust reinforcement learning environments
| Local MCP server manager for Claude, Cursor, VS Code and other AI clients
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | Not given
| SK
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| Pricing model | Open source
| Open source
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| Pricing | Not given
| Free beta with no account or sign-up required. Source code available under MIT License.
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| Key features | - Sandboxed execution with non-privileged user isolation
- Process termination before grading
- Suspicious file detection and rejection
- Out-of-memory and fork-bomb prevention
- Hardened through one million evaluation runs
- Red-team tested for reward hacking vulnerabilities
- Scalable environment execution
- Robust benchmark building support
| - Server matrix showing which MCP servers are enabled across all supported AI clients
- Health checks and MCP Doctor to diagnose server connection failures
- Profiles to save and switch between different MCP stacks for different tasks
- Timestamped backups with atomic writes and external change detection
- Contract Guard to alert when servers change their tool definitions or descriptions
- Built-in catalog and support for custom JSON, JSONC and TOML configuration sources
- Context optimizer measuring tool-schema footprint and proximity to client limits
- Security scanning for invisible characters, credential exposure and malicious prompts in tool definitions
- Optional Gateway mode for supported stdio servers with local routing and native credential storage
- Live Activity logging with metadata-only recording and no payload capture
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| What makes it different | - Provides secure defaults and primitives specifically designed to prevent reward hacking in RL training
- Hardened through real-world testing at scale with over one million evaluation runs
- Designed for training environments where defenses must withstand continuous optimization attempts
- Addresses AI alignment at the highest leverage point through better environment construction
- Built and tested internally by frontier AI research team
| - Works with any existing MCP server you already have configured without requiring migration or special catalog registration
- Detects and alerts when servers change what they tell your model between health checks
- Completely local with no cloud sync, no account, and no upload of configuration or API keys
- Public source code under MIT License so you can audit every request or build from source yourself
- Automatic timestamped backups before every change with the ability to browse and restore earlier versions
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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) | 29 ▲ +1 (up) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 2 |
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| Citation Flow (Majestic) | 24 | 17 |
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| Referring domains (Majestic) | 98 | 51 |
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Preference Model
KyttoMCP