agent-starter-python vs voice-ui-kit
Two of the top voice and realtime, side by side: score, setup, license, activity and what each review found.
agent-starter-python
Python voice agent on LiveKit Agents with turn detection and simulations
voice-ui-kit
React components and templates for Pipecat voice agent frontends
| What we compare | agent-starter-python | voice-ui-kit |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 27, niche | 41, known |
| Freshness | 100, active | 100, active |
| Maintenance | 24, weak | 67, fair |
| Easy to run | 33, some setup | 0, hard |
| Agent-ready | 85, ready | 30, minimal |
| Facts from GitHub and the README | ||
| Stars | 264 | 419 |
| License | MIT (permissive) | BSD-2-Clause (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | None published | Sep 2026 |
| Language | Python | TypeScript |
| Docker | Yes | No |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
agent-starter-python
uv-managed Python voice assistant on LiveKit Agents using LiveKit Inference for STT, LLM (default Gemma 4 31B) and TTS (default Fish Audio S2.1 Pro), with the LiveKit turn detector, adaptive interruption handling and noise cancellation. Ships a Dockerfile for LiveKit Cloud, an AGENTS.md with LiveKit skills, and scenarios.yaml simulations run in CI on merges to main. Backend only; pair with a LiveKit frontend starter.
Who it is for: Python teams building a production voice agent on LiveKit
Strengths
- Turn detector, adaptive interruption handling and noise cancellation preconfigured
- Conversation simulations in scenarios.yaml run in CI on merge to main
- Dockerfile and lk CLI flow for LiveKit Cloud deployment
- AGENTS.md and LiveKit skills for Claude Code, Cursor and Codex
Weaknesses
- Defaults rely on LiveKit Inference and Cloud noise cancellation; self-hosting needs plugin swaps
- CI simulations use real inference and need LiveKit secrets
- uv.lock is not tracked; commit it yourself
- No frontend; a separate client starter is required
- Python, LiveKit Inference (OpenAI, Cartesia, Deepgram and others), LiveKit realtime model plugins
- Needs LiveKit Cloud (or self-hosted LiveKit plus model plugins)
- GitHub template
- Docker
- env example file
voice-ui-kit
pnpm workspace publishing @pipecat-ai/voice-ui-kit: React components (connect button, control bar, voice visualizer, audio controls), hooks, a ConsoleTemplate debug UI and a ThemeProvider on Tailwind 4. Works over the Pipecat Daily or SmallWebRTC transports; examples cover the console template, custom components, Tailwind and Vite. For teams building a browser frontend for a Pipecat bot; the bot is separate.
Who it is for: Frontend developers building UIs for Pipecat voice bots
Strengths
- Drop-in ConsoleTemplate for testing and benchmarking a Pipecat bot
- Daily and SmallWebRTC transports supported
- Tailwind 4 theme via CSS variables; Storybook included
- Four example apps: console, components, Tailwind, Vite
Weaknesses
- Library plus examples, not a deployable app; you assemble the page
- Requires a running Pipecat server exposing /api/offer or a Daily room
- No auth or persistence
- TypeScript
- Needs Pipecat bot server, Daily account (optional transport)