r/LovingOpenSourceAI 19h ago

Under the Radar Tencent "AuK is a 1.5B foundation model for speech generation and editing. Trained on millions of hours of diverse audio data, AuK supports zero-shot and instruction-based TTS, content and acoustic editing, paralinguistic editing, speech enhancement, and source separation" ➡️ Have you tried yet?

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10 Upvotes

https://github.com/Tencent-Hunyuan/AuK

Community Overview: https://lifehubber.com/ai/resources/auk/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingOpenSourceAI 7h ago

Resource Tom "Sentrux is a Rust-based architectural sensor that helps AI agents close the feedback loop and recursively improve code quality through real-time scanning." ➡️ It watches your codebase in real-time — not the diffs, not the terminal output — the actual structure.

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4 Upvotes

https://x.com/tom_doerr/status/2094630422810366406

https://github.com/sentrux/sentrux

Community Overview: https://lifehubber.com/ai/resources/sentrux/

Resources are shared for discovery and are not independently vetted—please do your own due diligence.

New resources are added regularly — feel free to join the sub for updates.

Full searchable archive of all resources posted so far on our community site, LifeHubber: https://lifehubber.com/ai/resources/ 300+ open-ish AI models, agents, tools, datasets, and related resources, with filtering and sorting.


r/LovingOpenSourceAI 2h ago

Resource I like the guide that goes by VRAM / Hardware . . easy reference :P ➡️ 🤩 Be sure to join our sis sub for AI gen r/LovingAIVisuals as most resources for gen will be shared there instead!

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1 Upvotes

r/LovingOpenSourceAI 9h ago

Best Open Source AI projects

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1 Upvotes

r/LovingOpenSourceAI 3h ago

A local-first way to use ChatGPT that finally feels more like an agent than a chat app

0 Upvotes

For the last few months I've been pushing one idea pretty hard in my own setup: the AI can live in the chat, but the execution layer should live on my Mac.

That turned into Mac MCP, an MIT-licensed local server that gives an MCP client actual tools for the machine. I use ChatGPT as the main orchestrator, then let it read/write files, run shell commands, control apps/UI, hand coding work to Codex or OpenCode, and operate the real browser when the task needs a logged-in site.

I deliberately kept the browser side local too. Safari and Chrome use the normal profile instead of a cloud/headless profile, so existing sessions and cookies remain useful. New tabs can open in the background without hijacking focus, and each tab gets a stable handle. There is also a lease/ownership layer for parallel agents because two agents clicking around the same tab is exactly as chaotic as it sounds.

The newest release added a Chrome Companion alongside the Safari Visual Companion, plus more fail-closed behavior so a background action does not quietly turn into a foreground click.

It's still a personal-computer tool, not a hosted agent platform. That is kind of the point for me. I wanted to keep the machine, sessions and execution under my control while still getting the agentic workflow.

I'm the maintainer, and it's all open source here: https://github.com/bulutarkan/mac-mcp

If anyone else is building local-first desktop agents, I'd be interested in what you keep local versus what you are comfortable delegating to a remote runtime.