Feral v0.2.0 - open-source local AI workspace (llama.cpp + BYOK + agent runtime), now on Windows, macOS and Linux. No telemetry, no subscription, MIT/Apache-2.0

Reddit r/AI_Agents Tools
open-source local-ai llama-cpp desktop-app agent-runtime tauri rust

Summary

Feral v0.2.0 is an open-source local AI workspace that runs GGUF models via llama.cpp, supports BYOK for cloud models, includes an agent runtime with sandboxed tools and a knowledge graph, and now ships on Windows, macOS, and Linux with no telemetry or subscription.

I've been building Feral solo for the past few months, a desktop app for running AI on your own machine and v0.2.0 just shipped with macOS and Linux support, so it felt like the right time to share it here. # What it is: \- Local GGUF models via llama.cpp fully offline chat, nothing leaves your machine \- BYOK for cloud models (OpenAI, Anthropic, Gemini, NVIDIA NIM, etc.) your key, your bill, no proxy in between. Keys live in the OS keychain, never in the frontend \- An agent runtime with sandboxed tool use (file ops, shell with env blocklist + output caps, web research), a skill system, and a persistent memory knowledge graph you can actually inspect and edit in a graph UI \- MCP support app-store style page for Model Context Protocol servers, one-click install \- Vision (paste/drop screenshots), any-file attachments (PDF/Office parsed natively) \- Tauri 2 + Rust, so the installer is small and it's not another Electron app # Honest state of things: \- Windows is the primary, most-tested platform \- macOS and Linux are fresh this release CI-built, lightly tested on real hardware. Consider them beta \- macOS isn't notarized yet (no Apple Developer cert, it's a free open-source project). First launch needs xattr -cr /Applications/Feral.app, and updates may trigger a Keychain permission prompt for your saved API keys. Both documented in the README \- Linux ships as .deb/.rpm without auto-update for now (AppImage had bundling issues, deferred to next release) \- Local inference is text-only for now - vision needs a cloud key No telemetry, no account, no analytics, you can verify, it's all on GitHub under MIT/Apache-2.0. I'll be in the comments, happy to answer anything, and bug reports are genuinely welcome (a macOS user reported a model-picker bug this morning and the fix is already in this build).
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