AI/ML●●Solid
Every Claw Deserves a Face
CPU-only face animation at 30 FPS when most agent embodiment tools require cloud GPUs.
Niche Gem
antonios_makro
889d ago
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GitHub Repository
9 starsPython
Give your OpenClaw agent a face and voice with LiveKit and LemonSlice
by arbayi·Feb 21, 2026·5 points·0 comments
AI Analysis
●MidCrowd PleaserEye Candy
Voice+video agent built by orchestrating Deepgram, ElevenLabs, LemonSlice, and LiveKit together.
Strengths
- •End-to-end 1-2s latency for full voice-to-video-response loop is respectable for real-time interaction.
- •LemonSlice lip sync quality exceeds author expectations, making avatar feel natural at scale.
Weaknesses
- •Orchestrates existing APIs and closed-source services; no novel architecture or competitive advantage over Talkbase, Dasha, or Vocode.
- •OpenClaw dependency limits generalizability; no clear path to swap in different agents without rewiring entire stack.
Category
Target Audience
AI agent developers building conversational interfaces with video components
Similar To
Talkbase · Vocode · Dasha
Post Description
For a fun side weekend project we gave our own OpenClaw agent called "Mahmut" a face and had a live interview with it. It went surprisingly well.
Here's a sneak peek from the interview: https://x.com/ptservlor/status/2024597444890128767
User speaks, Deepgram transcribes it, OpenClaw Gateway routes it to your agent, ElevenLabs turns the response into speech, and LemonSlice generates a lip synced avatar from the audio. Everything streams over LiveKit in real time.
Latency is about 1 to 2 seconds end to end depending on the LLM. The lip sync from LemonSlice honestly surprised us, it works way better than we expected.
The skill repo has a complete Python example, env setup, troubleshooting guide, and a Next.js frontend guide if you want to build your own web UI for it.
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