Nulang
A modern systems language merging Erlang-style actors with Rust-grade types and AI agent support.
Visit live site ↗ github.com/dporkka/nulangBuilding concurrent, distributed applications that also need AI agent integration usually means gluing together 3-4 languages and runtimes. Existing systems languages weren't designed for the agent era.
Nulang combines lightweight green-thread actors (Erlang model), algebraic effects, capability-based reference permissions, a register-based VM with Cranelift JIT, and first-class AI agent declarations — all in one language built in Rust.
Solo language designer — compiler, VM, type system, actor runtime, AI agent integration, and 740+ tests.
- 740 tests passing
- 91-opcode bytecode ISA
- Hindley-Milner type inference + algebraic effects
- Cranelift JIT for hot-code paths
Designed and implemented a from-scratch systems programming language that unifies actors, effects, capabilities, and AI agents under one compiler and runtime.
Rust compiler frontend (lexer → parser → type checker) produces bytecode for a register-based VM. The VM runs lightweight actors with M:N scheduling. Cranelift JIT compiles hot paths. The AI runtime layer integrates with OpenAI/Ollama for agent declarations with episodic, semantic, and procedural memory.
- 740 tests pass, 91-opcode bytecode ISA, Hindley-Milner type inference with algebraic effects
- Lightweight green-thread actors with M:N scheduling, work-stealing, and supervision trees
- First-class `agent` declarations with LLM providers (OpenAI, Ollama), memory, pipelines, debates
- Register-based VM with NaN-tagged value representation + Cranelift JIT hot-path compilation
- Capability system: iso/trn/ref/val/box/tag reference permissions
- ORCA per-actor GC with cycle detection, CRDTs, SIMD vectorization
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