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>log in to comment- Jack Bridger· 12mo ago
Thanks DevHunt for having us, really excited to get feedback!
Building voice AI agents is tricky. There's lots to remember: even when developing locally with a tool like Layercode, you need to remember to run a tunnel and add the correct URL to your dashboard so Layercode can send webhooks.
This was annoying us, so we built Layercode CLI — a command-line interface designed to help you get started in minutes.
What you get with Layercode CLI:
1. Zero to production in minutes: Initialize a voice AI agent with one command, and get real-time speech-to-text, text-to-speech, turn-taking, and low-latency audio delivery to our global edge network. No infrastructure setup required.
2. Built-in tunnelling: Test locally using our integrated tunnel — no need for copy-pasting your webhook urls into our dashboard.
3. Sample agent backend: Backend logic receives conversation transcripts and responds based on your prompt and the tool calls you define. Deployable anywhere.
4. Complete backend control: Use any LLM, and keep your existing agent logic and tools — Layercode handles all of the voice infrastructure.
5. Edge-native voice AI deployment: Layercode is deployed to 330+ locations that process audio within ~50ms of users, anywhere in the world.
To get started, just run:
npx @layercode/cli init
Then, authenticate with your Layercode account. (If you don't have one yet, you can sign up for a free Developer account and start building with $100 credits — enough for ~1,000 minutes of agent conversation).
Choose a template, and our CLI sets up your tunnel and webhook URLs for local development.
We also have a tunnel command that works for existing agents:
npx @layercode/cli tunnel
So, no need to run ngrok and copy-paste the URL to your dashboard just to test locally.
And there is an AGENTS.md and CLAUDE.md file in the repo with all the Layercode documentation so you can get up to speed faster with Cursor, Claude Code or your AI tools of choice.
We’d love feedback from devs building agents — especially if you’re experimenting with voice.
What feels smooth? What doesn't? What’s missing for your projects?
Layercode CLI lets you create, test, and deploy voice AI agents from the terminal with built-in tunneling and edge-native audio delivery.
- for
- Developers building voice AI agents who want fast local testing and zero infrastructure setup
- pricing
- freemium · free trial
Key features
5 features of Layercode CLI
- One-command init — Create a voice AI agent with a single CLI command, including real-time speech-to-text and text-to-speech.
- Built-in tunneling — Local testing via an integrated tunnel eliminates manual webhook URL copying.
- Sample backend — Provides a starter backend that processes transcripts and generates responses based on prompts.
- LLM-agnostic — Use any large language model while retaining full control over agent logic and tools.
- Edge deployment — Deploys audio processing to 330+ global edge locations with ~50 ms latency.
Use cases
- Prototype a voice assistant locally without configuring ngrok or external tunnels
- Deploy a production-grade voice AI agent that scales globally with low latency
- Integrate custom LLMs and existing tool calls into a voice agent while keeping full backend control
Layercode CLI vs alternatives
 Layercode CLI |  Fine |  SuperAGI Cloud |  Calljmp |  Pocketenv | |
|---|---|---|---|---|---|
| Best for | CLI-driven voice AI agent development | General AI agent development | Cloud-hosted autonomous agents | Managed backend for code-based agents | Universal sandbox for agent execution |
| Pricing | Freemium | Free | Free | Free | Free |
| DevHunt upvotes | 13 | 75 | 43 | 35 | 73 |
| Launched | Oct 2025 | Jan 2023 | Jan 2023 | Feb 2026 | Apr 2026 |
- Layercode CLI vs Fine: Focuses on building software agents generally, not specifically voice AI with built-in tunneling
- Layercode CLI vs SuperAGI Cloud: Provides cloud hosting for autonomous agents but requires separate setup for voice and tunneling
- Layercode CLI vs Calljmp: Runs AI agents as code on a managed backend without the CLI-centric workflow
- Layercode CLI vs Pocketenv: Offers a sandbox runtime for agents and humans, not a dedicated voice-AI CLI tool
Layercode CLI FAQ
How do I start a new voice AI project?+
Run npx @layercode/cli init, authenticate, choose a template, and the CLI sets up the tunnel and webhook URLs automatically.
Do I need to set up any infrastructure?+
No, Layercode handles all voice infrastructure and provides edge-native deployment out of the box.
Can I use my own LLM?+
Yes, the CLI works with any LLM you prefer while keeping your existing agent logic.
What is the free credit amount?+
A free Developer account includes $100 credits, enough for roughly 1,000 minutes of agent conversation.
Is there a separate command for existing agents?+
Yes, use npx @layercode/cli tunnel to start the built-in tunnel for an already-deployed agent.
Summarized by DevHunt from layercode.com · Sep 27, 2026. Details may change; check the official site.
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