Project Lwanga is an LLVM-based systems language for security research and exploit dev. It prioritizes low-level control via direct syscalls, inline assembly, and naked functions. Designed for shellcode and pentesting, it features minimal runtime overhead, position-independent code, and encrypted strings to aid evasion. It provides the granularity of assembly with modern compiler efficiency, making it a specialized tool for creating advanced security payloads.
Updates have been slow, but the vision has grown. FlowSpec AI is officially moving to a freemium, local-first model to support the React/Next.js community even during internet outages.
What s new?
Local LLMs: Transitioned to self-hosted Dolphin3 on Ollama to keep costs at zero for users.
Architecture Rebuild: Refactored the entire system using FastAPI and Qdrant for better scaling.
We are looking for contributors! We are currently optimizing our FastAPI brain to handle self-hosted model inference more efficiently. If you are a Python/FastAPI wizard who loves LLMs, we want you on the team.
