Alternatives
Products that do what Give your OpenClaw agent a face and voice with LiveKit and LemonSlice does
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…
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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).…
Mar 2026 · github.com
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OpenClaw Alternative — Faster, Secure & 3× Less Token Usage
Apr 2026
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Zero-config hosting to launch specialized AI teams instantly
Feb 2026
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Hey HN, it’s Russ - cofounder of LiveKit. An open source stack for building realtime AI applications. We’re sharing our first homegrown AI model for turn detection. Here’s a live demo: https://cerebras.vercel.app/ Voice AI has come a long way in the last year. We now have end-to-end systems that can generate a response to user input in 300-500ms — human level speeds! As latency reduces, a common problem that surfaces is the LLM responds too quickly. Any time there’s a short pause in a user’s speech, it ends up interrupting them. This is largely due to how voice AI applications…
2024
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Hi there, looking for feedback on my new project "Featherless.AI" The idea is to allow users to run all the models on hugging face instantly. Via the OpenAI API compatible endpoint. Why? Because its a real chore to download models and spin up GPUs, especially if you want to test multiple models. Not to mention GPUs cost multiple dollars an hour to rent. And if we want more people to use open source AI, we got to make it easier for them to try and play with all of them. So what if instead of spinning up dedicated GPUs per model (which is what every provider is doing) We can startup a LLM…
2024 · featherless.ai
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I built DevClaw, an OpenClaw plugin that turns each Telegram group into an isolated, autonomous dev team: planner/orchestrator, DEVs, and QA all running on their own. I use it for all my development now. Issues on GitLab/GitHub are the single source of truth, and three things compound to save around 70% on tokens: model tiering (Haiku for typos, Opus for architecture), session reuse across tasks, and token-free scheduling that burns zero LLM calls for orchestration. Please try it and give some feedback. Also keen to hear from anyone running autonomous coding agents, especially what…
Feb 2026 · github.com
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Hey HN, I'm Daniel, solo dev from Germany. I built ClawHosters (https://clawhosters.com), a managed hosting platform for OpenClaw, the open-source AI agent framework. Quick timeline: domain registered February 5th. First paying customer six days later. I probably should have spent more time on it, but it works. If you haven't seen OpenClaw, it lets you run a personal AI assistant that connects to Telegram, Discord, Slack, and WhatsApp. Self-hosting it is absolutely possible, but it's a pain. You're dealing with Docker setup, SSL certs, port forwarding, security hardening, keeping…
Feb 2026 · clawhosters.com
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Hey HN! I've been working on a side project to create an audio transcription API based on the OpenAI whisper model. Sign up link: https://whisperapi.com I tried to make the API really easy to use and get setup with. Also, because the Whisper model is so good, turns out I can offer the service for about 75% cheaper than what seems like the industry average. I'm always looking to make improvements, so would appreciate any feedback anyone has!
2022 · whisperapi.com
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So I've been building ClawMem, an open-source context engine that gives AI coding agents persistent memory across sessions. It works with Claude Code (hooks + MCP) and OpenClaw (ContextEngine plugin + REST API), and both can share the same SQLite vault, so your CLI agent and your voice/chat agent build on the same memory without syncing anything. The retrieval architecture is a Frankenstein, which is pretty much always my process. I pulled the best parts from recent projects and research and stitched them together: [QMD](https://github.com/tobi/qmd) for the…
Mar 2026 · github.com
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Hey there HN! I believe the future of AI communication will be more voice and less text. Low-latency realistic voice interactions are finally becoming feasible. I've built a few voice-first apps on Retell AI using Elevenlabs voices. This one uses Claude Haiku for responses and Mixtral to switch between posts and comments. The AI knows about the top 30 posts and their comments on Hacker News right now. After a Google sign-in you can try it free for 10 minutes. I'd love to hear your thoughts!
2024 · callhackernews.com
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Hey HN, I built a website where you can train Llama 3.1 8b & 70b (4bit) on your data. I use unsloth in the backend and the training is done on H100s which I rent programmatically from Runpod. I'd love some feedback. If you would be interested in using it feel free to book a chat with me: cal.com/hamada/tunellama-intro Happy to give you free credits :) P.S. I'm also looking for a co-founder as I have big plans for this.
2024 · tunellama.com
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I had 14,000 photos sitting on a drive and wanted an excuse to play with local vision models and Elixir/Phoenix. I originally tried to get LLaVA to tell me if a photo was 'good' or matched my style, but quickly learned that LLMs have terrible taste. I ended up demoting the LLM to just extract metadata, and built a custom CLIP/Ridge Regression pipeline to actually learn my preferences based on how I rate things. The stack is Phoenix/Oban on the orchestrator side, and Python/FastAPI/Instructor for the AI workers. Happy to answer any questions about the architecture,…
Apr 2026 · qwelian.com
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Clawbernetes turns OpenClaw into an AI-native infrastructure manager. Instead of YAML, Helm charts, and kubectl — you have a conversation. "Deploy Llama 70B on the node with the most VRAM" → agent selects the best node, pulls the image, starts the container with GPU passthrough, sets up health monitoring. "Why is inference slow?" → checks GPU temps, VRAM, CPU load. "GPU 0 at 89°C — thermal throttling. Want me to reduce batch size?" 23 crates, 74K lines of Rust, 1,866 tests, zero unsafe in core. Supports CUDA, Metal, ROCm, Vulkan, and CPU SIMD. Components: - clawnode: node agent with 80+…
Feb 2026 · github.com
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I know mentioning Michael Seibel is almost cheating, but this week he demonstrated the "leaky pipes" concept to me. Not that I know the guy, but in one of his videos he says something on the lines of "If you are unsure if you app is ready to be launched, just launch it. It's like a house with leaky pipes, just open the main, grab your tools, and start fixing wherever water is leaking". So we did it, we launched drummy earlier this week on /r/InternetIsBeautiful and we got very close to 10k users in just one day! Survived the hug of death, learned a ton, and made changes all around.…
2022 · drummy.io
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Hi HN I built a fun little tool: It uses Groq’s LLaMA 3.3 + Puppeteer to analyze a website Then it roasts the design/content/UX with humor And finishes with 3–5 genuinely helpful improvement tips You can try it here: https://ai-roast-vert.vercel.app I wanted to: Practice fast idea-to-launch cycle (built in 2 days) Experiment with a viral-friendly product Monetize with a $0.55 pro version that gives a detailed roast + download Would love your feedback — on the idea, the tone, the usefulness — anything! Thanks in advance
Sep 2025 · ai-roast-vert.vercel.app
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I built TTSLab — a free, open-source tool for running text-to-speech and speech-to-text models directly in the browser using WebGPU and WASM. No API keys, no backend, no data leaves your machine. When you open the site, you'll hear it immediately — the landing page auto-generates speech from three different sentences right in your browser, no setup required. You can then try any model yourself: type text, hit generate, hear it instantly. Models download once and get cached locally. The most experimental feature: a fully in-browser Voice Agent. It chains speech-to-text → LLM → text-to-speech,…
Feb 2026 · ttslab.dev
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