Give your OpenClaw agent a face and voice with LiveKit and LemonSlice
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…
What it does
In the maker’s words, at launch
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.
Does the same job
all alternatives →
- WOWe open sourced Vapi – UI includedMar 2026 · github.com · ▲8
We kept hitting the same wall building voice AI systems. Pipecat and LiveKit are great projects, genuinely. But getting it to production took us weeks of plumbing - wiring things together, handling barge-ins, setting up telephony, Knowledge base, tool calls, handling barge in etc. And every time we needed to tweak agent behavior, you were back in the code and redeploying. We just wanted to change a prompt and test it in 30 seconds. Thats why Vapi retell etc exist. So we wrote the entire code and open sourced it as a Visual drag-and-drop for voice agents ( same as vapi or n8n for voice).…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
