// the find
KoljaB/Linguflex
Command Your World with Voice
Linguflex is a local-first voice assistant framework — think Jarvis — that wires together speech recognition, LLM inference, TTS with RVC voice cloning, and a plugin system for home automation, calendar, email, weather, and music. It targets developers who want a fully local, private alternative to cloud assistants and are willing to wrestle with a complex Python dependency tree to get there. This is a personal passion project with real ambition but rough edges.
The module architecture is genuinely clean — each module is self-contained with its own inference.json, logic.py, and state.py, making it easy to add a new capability without touching the core. The latency work is real: keyword pre-parsing before hitting the LLM is a smart trick that reduces unnecessary LLM calls for simple commands. RVC post-processing on top of XTTS for voice quality is a meaningful upgrade over vanilla local TTS — most projects stop at XTTS alone. Supporting Ollama, llama.cpp, LM Studio, OpenRouter, and OpenAI from the same brain abstraction means you're not locked into one inference backend.
Installation is genuinely painful and the author knows it — the README has a whole section defending why Docker is hard, which is a red flag rather than a solution. The dependency surface is enormous (60+ Python libs by the author's own admission), and transitive dependency conflicts are described as expected, not exceptional. The RVC code is vendored wholesale into lingu/rvc/ rather than being a proper dependency, which means you're carrying a large ML training codebase you'll never use as an end user and won't receive upstream fixes. Several modules listed in the README (Memory, News, Finance, Create) are marked 'coming soon' but appear to have placeholder files already in the repo — it's unclear what's actually functional without trying it.