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About SENTINEL
“Sentinel ($SENTINEL) is a comprehensive AI safety framework designed to protect artificial intelligence systems across three critical surfaces: Large Language Models (LLMs), autonomous agents, and physical robots. As AI systems become more capable and autonomous, Sentinel provides the safety infrastructure developers need to deploy AI responsibly.
At its core, Sentinel implements the THSP Protocol, a four-gate validation system that evaluates every AI action through Truth (factual accuracy), Harm (potential damage assessment), Scope (boundary enforcement), and Purpose (legitimate intent verification). This ensures AI outputs are not only safe but also aligned with user interests. The framework includes anti-self-preservation mechanisms that prevent AI from prioritizing its own existence over human control.
Enterprise Integrations:
• Google: ADK (Agent Development Kit)
• Microsoft: Azure OpenAI, Semantic Kernel
• NVIDIA: Isaac Lab for robotics simulation
• Anthropic: Claude SDK native support
• OpenAI: Assistants API, GPT models
• Solana: Agent Kit for blockchain AI agents
• ElizaOS: Plugin for autonomous AI agents
• MCP: Model Context Protocol server
Developer Tools:
• VS Code Extension (Marketplace)
• Cursor IDE support
• JetBrains Plugin (IntelliJ, PyCharm)
Frameworks: LangChain, CrewAI, LlamaIndex, DSPy, AutoGPT, Letta, VoltAgent, and 30+ integrations.
Available on PyPI, npm, and HuggingFace. Open-source MIT license.”
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