antonios_makro

6 ms·

1. 1.▲
   Show HN: We gave Hugging Face's realtime voice demo a face and it runs on a CPU(huggingface.co)

   2 points by antonios_makro 2mo ago|0 comments
2. 2.▲
   by antonios_makro 3mo ago

   This dataset powers our v2 version so not published yet, the v1 with no strong facial expression is in many places ..check myned.ai avatar, or nyxclaw.ai
3. 3.▲
   by antonios_makro 3mo ago

   datasets: CREMA-D / RAVDESS / TESS / JL Corpus models: NVIDIA A2F - 3D, LAM audio2 expression, check the HF page for links
4. 4.▲
   Show HN: Open dataset for distilling GPU audio2face models to CPU students(huggingface.co)

   3 points by antonios_makro 3mo ago|4 comments
5. 5.▲
   by antonios_makro 3mo ago

   Any day now, we have some issues with apple dev support (what a surprise) but we dealing with it, keep an eye on nyxclaw.ai
6. 6.▲
   by antonios_makro 3mo ago

   Thanks, we releasing hermes support soon, keep an eye on nyxclaw.ai
7. 7.▲
   by antonios_makro 3mo ago

   thanks, check our repo: https://github.com/myned-ai/nyxclaw , everything is there ..
8. 8.▲
   by antonios_makro 3mo ago

   Give any AI agent a real-time face and voice. Open source, runs on your machine, no GPU required.
9. 9.▲
   Show HN: Every Claw Deserves a Face(nyxclaw.ai)

   8 points by antonios_makro 3mo ago|8 comments
10. 10.▲
    by antonios_makro 3mo ago

    The bottleneck isn't managing the 'army', it's the interaction latency of a single agent. An AI 'employee' that makes a customer wait 800ms for a voice response feels broken. Getting that full STT->LLM->T
11. 11.▲
    by antonios_makro 4mo ago

    :p
12. 12.▲
    by antonios_makro 4mo ago

    This is exactly the right direction. A native desktop client is what turns these models from a tech demo into an actual tool. We've been focused on the other side of that problem: giving local models a face and a voice. We open-sourced
13. 13.▲
    by antonios_makro 4mo ago

    Agreed, the "one-shot a static site" demo is the new "hello world" for agents. It's a real step up.
14. 14.▲
    by antonios_makro 4mo ago

    For the human collaboration part, what's the hand-off model? does the agent block waiting for a human to resolve a comment, or is it fire-and-forget?
15. 15.▲
    by antonios_makro 4mo ago

    Awesome project. The Codespaces setup is a great way to lower the barrier to entry for Hermes Agent. We've felt that setup friction ourselves, and this is a smart solution. I saw the docs mention moving to a VPS for production. Have yo
16. 16.▲
    by antonios_makro 4mo ago

    The approval flow is the key feature here. Most agent frameworks focus on the agent's execution loop but forget the human-in-the-loop part, which is critical for anything with real side-effects (like DevOps).