Autolang

Autolang is a lightweight execution membrane built to bridge AI intent with real-world tools. It provides a secure, deterministic sandbox designed to execute AI-generated code with near-zero overhead.

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The Vision: Autolang decouples AI logic from heavy infrastructure. Instead of spinning up containers for every tool call, Autolang wraps your existing functions into a 4.2MB environment that starts in milliseconds.

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🚀 Why Autolang for AI Agents?

Traditional runtimes (Node.js, Python) are built for humans. Autolang is built for the specific characteristics of AI-generated code: short, ephemeral, and untrusted.

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1-5ms Execution Latency

Built for speed. Autolang minimizes the gap between AI intent and action. By keeping the runtime "warm," it compiles and executes AI-generated scripts in milliseconds—perfect for high-frequency agentic workflows.

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4.2MB RAM (Native) · 12MB (NPM)

Massively increase agent density. Run hundreds of isolated sandboxes on a single core where traditional environments would exhaust memory at just a dozen.

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Deterministic Fuel

Prevent infinite loops natively. Set a hard limit on VM Opcodes. When the AI hallucinates a non-terminating loop, Autolang kills the execution without hanging the host.

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Total Time Optimization

Prioritizes the sum of Compile + Execution time. Perfect for dynamic code generation where waiting seconds for a deep-optimizing compiler is unacceptable.

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Membrane Architecture

Acts as a strict whitelist firewall. The AI only sees the functions you expose. No unauthorized file access, no hidden network calls, just pure controlled logic.

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Modern Type Safety

Strong static analysis and modern Null Safety (??, ?.) ensure that AI-generated code is robust and won't crash your underlying Virtual Machine.

✨ Language Features & Syntax

Autolang leverages AI's familiarity with Kotlin and TypeScript to minimize the "learning cost" for LLMs, while enforcing strict execution rules.

1. AI-Friendly Null Safety

class User(var name: String?)

var user: User? = null
println(user?.name ?? "Anonymous") // Prevents crashes from AI-generated logic

user = User(null)
println(user?.name?.size() ?? 0)

2. Strict Generic Collections

Forces AI to be deliberate with types, reducing data-mismatch hallucinations.

// Declaration requires explicit types for AI clarity
val scores = <Int>[10, 20, 30]

// Operations are familiar to TS/Kotlin models
scores.insert(0, 5)
val filtered = scores.filter {|v: Int| v > 10}
println(filtered)

3. OOP & Inheritance

class GAnimal {
    func sound() = "..."
}

class GCat extends GAnimal {
    constructor(){
        super()
    }
    @override
    func sound() = "Meow"
}

val pet: GAnimal = GCat()
println(pet.sound())

🛠 Under the Hood

Engine: Custom C++ VM (AVM) designed for single-threaded throughput.
Memory: Reference counting & Arena allocators for zero-leak hot restarts.
Safety: Per-run Opcode limiting and strict memory boundary checks.
Portability: Compiles to native binaries or Wasm for web-based agent tools.

📞 Join the Evolution

Autolang is open for collaboration, especially for teams building high-density Agentic workflows.

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