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A neuro-symbolic runtime architecture for AI agents. Enforces zero trust privilege separation between probabilistic LLM reasoning and deterministic kernel execution. Prevents agent drift with real-time invariants and decision telemetry for auditable autonomy.
empirical research framework designed to analyze multi-agent Large Language Model (LLM) conversations as observable, continuous-state dynamical systems.
Free, local guardrail for AI coding agents — Claude Code, Cursor, Gemini CLI and more. Blocks out-of-scope writes, .env reads, rm -rf and force pushes. No API key, no account, no telemetry by default.