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Laminae (Latin: layers) is a modular Rust SDK that adds personality, voice, safety, learning, and containment to any AI application. Each layer works independently or together as a full stack. 
┌─────────────────────────────────────────────┐
│              Your Application               │
├─────────────────────────────────────────────┤
│  Psyche    │ Multi-agent cognitive pipeline │
│  Persona   │ Voice extraction & enforcement │
│  Cortex    │ Self-improving learning loop   │
│  Shadow    │ Adversarial red-teaming        │
│  Ironclad  │ Process execution sandbox      │
│  Glassbox  │ I/O containment layer          │
├─────────────────────────────────────────────┤
│              Any LLM Backend                │
│     (Claude, GPT, Ollama, your own)         │
└─────────────────────────────────────────────┘

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Why Laminae?

Every AI app reinvents safety, prompt injection defense, and output validation from scratch. Most skip it entirely. Laminae provides production-grade layers that sit between your LLM and your users — enforced in Rust, not in prompts. No existing SDK does this. LangChain, LlamaIndex, and others focus on retrieval and chaining. Laminae focuses on what happens around the LLM: shaping its personality, learning from corrections, auditing its output, sandboxing its actions, and containing its reach.

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Design Philosophy

Rust, Not Wrappers

Every layer is native Rust. Zero-cost abstractions, compile-time safety, no garbage collector.

Layers, Not Monoliths

Each crate is independent. Use what you need, skip what you don’t.

Deterministic, Not Hopeful

Safety enforced in code, not in prompts. An LLM can’t reason its way out of a syscall filter.

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Platform Support

PlatformStatus
macOSFull support (Seatbelt sandbox)
LinuxFull support (namespaces + seccomp)
WindowsFull support (Job Object sandbox)
WASMGlassbox, Persona (voice filter), Cortex
PythonGlassbox, VoiceFilter, Cortex via PyO3

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Next Steps

Installation

Add Laminae to your project

Quick Start

Run the cognitive pipeline in 5 minutes

Architecture

Understand the crate structure and data flow