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Build low-latency voice AI agents effortlessly.
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Layercode
Inputs:
Outputs:
Build low-latency voice AI agents effortlessly.
Most popular alternative: Millis AI (69 saves)
Author
Layercode makes it easy for developers to build reliable, low-latency voice AI agents.
Aidan Hornsby
🛠️ 1 tool
We provide the real‑time infrastructure required to turn any LLM or existing text-based agent into a reliable, conversational voice AI agent that speaks to users via the web, mobile, or phone.
Build reliable, low-latency voice agents that are ready for production
Our cloud platform offers everything you need to give your agent a voice: audio streaming, multilingual speech-to-text, text-to-speech in over 100 voices, and intelligent turn-taking, delivered through a simple webhook integration that works with the LLMs and agent libraries you already know and love.
Get started quickly, straight from the command line
Developers can get started with a single CLI command, connect any LLM, agent framework, or custom logic via a single webhook, and use our frontend SDKs or connect a phone number to let users speak to their agent.
Full control over your agent’s backend
Unlike WYSIWYG voice agent builders, Layercode gives developers complete control over their agent logic — without needing to wrestle with the complexity of a DIY solution: building, maintaining and managing every component of a real-time voice system.
Hot-swap leading voice model providers
By supporting different voice model providers, Layercode helps developers avoid vendor lock-in by retaining the ability to test, evaluate and swap the best voice models for their use case.
Track latency, record and replay voice sessions
Latency analytics and recordings let developers measure an agent’s latency, review any conversation and replay, review logs, or download the recording.
The first voice AI platform built for true global performance
Layercode’s cloud is powered by 330+ edge locations, helping ensure rock-solid performance and reliability for voice agents speaking to users anywhere on Earth.
True, usage-based pricing
True, usage-based pricing that only charges per-second when a user or agent is speaking — silence is always free.
By handling all of the complex, real-time audio infrastructure required to deliver reliable voice AI to production, Layercode lets developers focus on building their core application while delivering conversational voice AI experiences that feel human, scale with demand, avoid vendor lock-in, and remain affordable at scale.
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Releases
Get notified when a new version of Layercode is released
Notify me
October 9, 2025
Aidan Hornsby
Initial release of Layercode.
Pricing
Pricing model
Free Trial
Paid options from
$250/month
Billing frequency
Monthly
Prompts & Results
Add your own prompts and outputs to help others understand how to use this AI.
Layercode was manually vetted by our editorial team and was first featured on October 9th 2025.
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861,780644v1.6 released 23d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
12,998102v2.1 released 2mo agoFree + from $45/mo
This is the first AI marketing tool I’ve used that actually helps me get things done, not just suggest generic ideas. The mix of AI-powered strategy and real experts executing the work makes it feel like having a high-performance marketing team without the overhead
Pros and Cons
Pros
Cloud-based platform
High customization
Advanced turn-taking algorithms
Multiple language support
100+ different voices
Scalable from demo to production
Unique pricing for voice interactions
Silence does not incur costs
Switch between voice model providers
No vendor lock-in
Complete backend control
Integration capability
CLI and SDKs provided
Supports over 32 languages
Offers multiple voice options
Natural turn taking
Voiced conversation builder
Efficient session reviewing system
Latency analytics availability
Simplified billing for multiple vendors
Transparency in voice agents' conversations
Offers templates for common use-cases
Global edge voice infrastructure
Easy configuration of STT and TTS models
No noisy neighbors in sessions
Instant scalability and no cold starts
Per-call isolation
330+ independent locations
Avoids performance degradation
Frontend and backend integration
Compatible with known LLM and Agent libraries
Facilitates distributed network design
Voice agent monitoring and debugging tools
Avoids single point of failure
Audio pipelines configurability
Hot-swap voice and transcription model providers
Analytics and observability
Supports browser-based and phone agents
Sub 50ms voice data processing
Compatibility with mobile or phone
Startup program available
Audio visualization example code provided
View 37 more pros
Cons
Charges for voiced interactions
Limited to certain languages
Possible complexity for under-experienced developers
Multiple languages but limited voices
Requires knowledge of Command Line Interfaces and SDKs
Dependency on vendor product quality
View 1 more cons
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Create AI voice agents for automated calls in seconds.3,87246Released 1y agoFrom $37/moCallfluent is NOT ready for commercial use. I signed up, followed their tutorials to a tee, and could not get voice bot to work. The bot would hallucinate about dates, and would actually argue with me about days dates. I tried to connect with their support, and kept getting the same replies -- to not use the web based calling feature. I was actually calling by phone to test the bot. Support is TONE DEAF. I sent call recordings, transcriptions, and detailed list of issues by email. They kept repeating the same answers... almost as if they use their own garbage AI for tech support. I requested a ZOOM call with their "onboarding specialist" and was given access to a calendar, with the soonest appointment 8 days away. I requested a sooner appointment and the specialist started offering me times IN THE PAST. Again, I think they use their own AI for support or scheduling. I would stay away from this product. Not very good at all. Avoid at all costs if you wish to have a successful AI chat and voice bot. -
Open-source platform for conversational AI agents.3,65710Released 9d agoFrom $10We use this tool for lead qualification in real estate, and it’s been a huge win. Every enquiry gets filtered quickly, only serious prospects reach us, and no opportunities are missed. It saves time and helps us give real attention where it matters most. -
Voice bots that sound and act human.3,39538Released 2y agoNo pricing
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Q&A
What is Layercode primarily used for?
Layercode is primarily used as a cloud-based platform for developers to build low-latency, production-ready voice Artificial Intelligence (AI) agents.
What customization options does Layercode offer?
Layercode offers high customization options. Users can control how the AI agent sounds and responds. It also provides over 100 different voices to choose from. The platform also allows easy transitions between leading voice and transcription model providers.
How does the turn-taking algorithm on Layercode enhance conversational experience?
Layercode has implemented advanced turn-taking algorithms that ensure a smooth conversational experience. These algorithms enable the AI agents to interact with users in a more natural and human-like conversational manner.
How does Layercode ensure smooth conversations?
Layercode ensures smooth conversations through its low-latency voice integration. This allows for real-time interaction with the voice AI agents. Additionally, the advanced turn-taking algorithms contribute to the smoothness of the conversation.
What languages does Layercode support?
Layercode supports over 32 languages, enabling developers to build AI agents tailored to diverse user bases.
How many different voices does Layercode provide?
Layercode provides a broad choice with more than 100 different voices for developers to choose from.
+ Show 14 more
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361,51344609.25 released 11h ago#2 in Trending
Hi there 👋 Flo here — this one’s a banger: a brand‑new agentic engine, 30+ new integrations — including Google Calendar, Gmail and Drive and long‑term memory. Everything bellow is released today in BETA. If you want to join the new beta program [you’ll first need to join the Slack community](https://join.slack.com/t/mindtheflo/shared_invite/zt-3bk60o4on-MnEfNtUfT_FYq2_w7EXSew) and you’ll find the instructions under the [beta Slack channel](https://mindtheflo.slack.com/archives/C09KRDWCG3A). Starting next month, the Beta channel will be reserved for Pro+ users as will be most of the features bellow; **so now is your chance to activate those features for free!** Ok, let’s roll. New agentic engine - Notis V3 Notis’ engine was rebuilt on OpenAI’s latest Responses/Conversations API stack for significant gains in speed, reliability, and intelligence. Notis now replies instantly, then smart‑routes work to specialized agents with the right “brainpower” for the job. Concretely Flo? - Expect the first response in seconds not minutes. - Simple tasks/automations are cheaper and faster. - Much improved intelligence and autonomy on complex tasks/automations. Email, Calendar, Drive and 33+ integrations (PRO+) Without a doubt, the number one requested feature since I launched Notis 12 months ago has been giving access to Notis to your calendar. Well, today I am releasing 33 integrations in Beta. Concretely, Flo? - You can draft/send emails from Notis or review your inbox during your morning job. - Use Todoist or any other task manager to manage your tasks from Notis. - Work on your sales pipeline in HubSpot or Salesforce. - Report bugs on GitHub, Linear, or Jira. - Add a blocker in your agenda for the time you need to go to your meeting (Google Maps + Calendar). You get the gist of it… You can edit your integrations in the Integrations page in the portal or simply asking Notis I believe we now have the architecture and resources to move extremely fast to deliver the integrations that matter to your productivity. [Now, go vote for the next integration here!](https://notis.featurebase.app/) Long-term memory (PRO+) Right next to Google Calendar, long-term memory was the underlying request behind much of the users’ feedback. And here it is. Why wait so long? I was not convinced of the solution until now. Notis long-term memory is managed automatically: - It’s used for context for every interaction with Notis. - It’s updated continuously with every new important piece of information Notis learns about you. No user guide. No tips. It works like magic. 🐞 Other small improvements Most of these would deserve their own header image, to be honest, but I limit myself to three new major features a month! - Priority and Flex service tier: Automations now run for half the cost by using the OpenAI Flex tier. You can opt in for the Priority tier in your user settings for 2x the base token costs but even faster Notis. - Code interpreter: Notis now spins up a sandbox to run code, perform complex calculations, or analyze files. It supports working on documents, so for example, you can easily use Notis to analyze a CSV file. - Improved logging: Detailed agent traces in Portal → Usage. Also, easily filter your automation logs in Portal → Automation → Logs. Logs now also show the automation that triggered it, the source, and the channel it ran on. - Automation improvement: Name automations for clarity and the option to run them in a fresh context per run. - Notion improvements: Notis can now edit Notion covers/icons and better handle images. - Deep Research improvements: Notis can now conduct deep research on your Notion workspace and any attached docs. - Scraping tool improvements: The tool now captures page screenshots during scraping. That's it for this month. See you next month! Flo PS: This is the first changelog entirely drafted by Notis and sent right from Notion. Notis is now doing the job of 2 to 3 full-time employees — this is how good it has become. -
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25,77864Released 1y ago100% FreeIt's a shame tim Dillon's voice isn't perfect :/ Other than that, super fun!
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