MoltBot Voice Agent is the next evolution in AI automation.
For years, AI assistants could type, generate, and automate—but not speak.
Now that has changed.
Using OpenAI’s new Realtime API and Codex CLI, the MoltBot Voice Agent can talk, listen, and take action instantly across Telegram, browsers, and local apps.
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What Is MoltBot Voice Agent?
MoltBot Voice Agent is an interactive voice-based version of MoltBot that runs locally or privately hosted.
It connects OpenAI’s real-time voice engine with MoltBot’s automation layer, allowing natural conversation and live task execution.
The result: an AI that listens, responds, and performs actions in real time.
It uses:
- OpenAI Realtime API for instant speech recognition and synthesis
- Codex CLI for OpenAI authentication and terminal control
- MoltBot as the agent framework for automation and browser control
Together, they create a fully interactive voice-powered automation system.
Why Build a MoltBot Voice Agent
Traditional chatbots are limited to text.
A MoltBot Voice Agent changes that by introducing:
- Real-time voice input and output
- Instant local hosting without public exposure
- Seamless integration with Telegram, WordPress, and browser automations
- Secure API execution using OpenAI’s Codex CLI
Instead of typing commands, users simply talk.
The agent listens, executes the task, and speaks back—all within seconds.
Prerequisites
Before starting, make sure the following tools are installed:
- MoltBot (latest version from GitHub)
- OpenAI account with Realtime API access
- Codex CLI (included with ChatGPT Plus or Pro plans)
- Node.js (for running the local web app)
- Localhost environment or VPS (Mac, Windows, or Linux)
Each of these will work together to build a secure, private voice agent.
Step 1: Install Codex CLI
Codex CLI is the official OpenAI command-line interface.
It replaces unstable Oauth tokens used by Anthropic’s older APIs.
To install Codex CLI, open the terminal and run the installation command.
Once installed, authenticate using OpenAI credentials.
After login, the CLI becomes the bridge between the local machine and the Realtime API.
This allows MoltBot to process live voice streams and execute real-time automation safely.
Step 2: Install and Initialize MoltBot
Clone MoltBot’s GitHub repository.
Run the onboarding command inside the terminal to initialize MoltBot locally.
Disable any old Anthropic configurations and connect it directly to Codex CLI.
When prompted, select “Connect via OpenAI CLI” to authenticate the integration.
Once connected, MoltBot will recognize Codex CLI as its active API bridge.
This step ensures reliable and continuous performance during voice automation.
Step 3: Generate an OpenAI API Key
Go to the OpenAI platform dashboard.
Navigate to the API section and generate a new key.
This key will enable the MoltBot Voice Agent to process real-time speech and responses.
Save the key in a secure environment file within your local project folder.
Once added, Codex CLI can access it automatically without manual token entry.
Step 4: Set Up the Local Web App
The MoltBot Voice Agent requires a simple web interface.
This app manages:
- Push-to-talk microphone control
- Real-time transcription and speech synthesis
- Response display
- Connection to MoltBot’s action API
Build a lightweight Node.js web app or use an existing example from OpenAI’s Realtime SDK.
The interface will include buttons like Start, Stop, and Hold to Talk to control the voice flow.
Step 5: Connect the Realtime API
Inside the app, connect to OpenAI’s Realtime API endpoint using the API key.
Enable both streaming and text-to-speech outputs.
When the microphone detects sound, it transcribes the input and sends it to MoltBot via Codex CLI.
MoltBot processes the command, executes the automation, and returns a voice-based response.
This loop creates natural, fluid, real-time conversation between user and AI.
Step 6: Configure Voice Engine
OpenAI’s Realtime API allows multiple voice options.
Two main configurations are recommended:
- OpenAI Realtime Voice (fastest and most natural)
- 11 Labs Voice (more human-like but slower)
OpenAI Realtime Voice is best for live interactions, while 11 Labs works well for recorded agents or demos.
Set the default to OpenAI Realtime Voice for minimal latency.
Step 7: Host Locally
Hosting locally gives full control over data and access.
Run the app through a local server environment (e.g., localhost:3000).
This avoids public endpoints and prevents unauthorized access.
The MoltBot Voice Agent can run privately with no external dependencies other than the OpenAI API.
For additional security, firewall the connection and restrict external requests.
Step 8: Test Voice Commands
Once the app is running, test basic voice commands:
- “What time is it in Bangkok?”
- “Create a new blog post draft in WordPress.”
- “Summarize the latest AI updates.”
- “Send a message in Telegram.”
Each voice command is transcribed, processed by MoltBot, and returned audibly.
The push-to-talk button or “always listening” mode can both be enabled.
If the response time feels slow, adjust the latency settings inside the Realtime configuration.
Step 9: Add a Custom Character
To personalize the interface, replace the default orb animation with a MoltBot-style character.
This can be designed using simple HTML canvas or CSS animation.
The character can display speaking, thinking, and idle states to make the experience more engaging.
This layer doesn’t affect functionality but improves user experience.
Step 10: Integrate With Telegram
MoltBot supports full Telegram automation.
Connect your voice agent to Telegram’s Bot API to extend control.
This allows users to speak to MoltBot through Telegram voice notes or messages, with MoltBot responding instantly via text or audio.
The integration uses MoltBot’s Telegram relay command, ensuring actions are mirrored across both interfaces.
Step 11: Enable Browser Control
With Codex CLI connected, MoltBot can also control browsers through local extensions.
Install the MoltBot Browser Relay and allow permission when prompted.
Now the MoltBot Voice Agent can open tabs, publish blogs, capture screenshots, or execute commands inside Chrome.
Each voice instruction translates directly into browser actions.
This turns MoltBot into a real virtual assistant—capable of operating like an automated co-worker.
Step 12: Troubleshooting Common Issues
During setup, a few issues may appear:
Issue 1: The agent speaks in Spanish by default.
→ Add lang: "en" to your Realtime configuration.
Issue 2: Hold-to-talk button fails.
→ Replace the event handler with a simple start/stop toggle.
Issue 3: Realtime output lags or stalls.
→ Adjust the Realtime API’s stream buffer size or switch to a faster local host.
Issue 4: Telegram bot doesn’t respond.
→ Verify that the Telegram token and webhook URL are correctly registered with MoltBot.
Once configured, MoltBot Voice Agent runs consistently across all devices.
If you want the templates and AI workflows, check out Julian Goldie’s FREE AI Success Lab Community here: https://aisuccesslabjuliangoldie.com/
Inside, you’ll see exactly how creators are using the MoltBot Voice Agent to automate content, communication, and client training with Codex CLI and OpenAI Realtime Voice.
Performance and Optimization
Local hosting ensures the lowest latency possible.
When properly configured, the MoltBot Voice Agent responds in under a second.
Adding GPU support (on desktop or cloud VPS) improves performance even more.
To reduce processing load:
- Use lightweight animations
- Limit concurrent Realtime streams
- Disable console logs after debugging
This creates a smooth, professional-grade experience.
Security and Privacy
One of the biggest advantages of running locally is data protection.
The voice data never leaves your system except for API calls to OpenAI’s Realtime endpoint.
Codex CLI provides secure authentication with no token exposure.
For sensitive workflows, use encrypted environment files and avoid storing API keys in code.
Extending The MoltBot Voice Agent
The agent can be expanded with features such as:
- Multiple voices or languages
- Wake-word activation (“Hey Molt”)
- Context memory between conversations
- Integration with Notion, Slack, or Discord
MoltBot’s modular structure makes each of these possible without major reinstallation.
Over time, the voice agent becomes a full multimodal assistant capable of managing both communication and execution.
Why This System Works
Combining Codex CLI, MoltBot, and OpenAI Realtime Voice solves three major automation challenges:
- Latency: Voice recognition and output occur in real time.
- Security: Local hosting keeps data private.
- Control: MoltBot automates tools instantly through browser and API connections.
The MoltBot Voice Agent merges speed, privacy, and automation in one local system.
Quick Recap
- Install Codex CLI and authenticate.
- Connect MoltBot and generate an API key.
- Build a local web app using OpenAI’s Realtime SDK.
- Add push-to-talk and real-time transcription.
- Host locally and test live voice commands.
- Integrate Telegram, browser, and automation tools.
In less than an hour, the MoltBot Voice Agent can be fully operational.
Final Thoughts
MoltBot Voice Agent represents the next step in automation evolution.
Voice input makes AI interaction faster, smoother, and more natural.
When powered by Codex CLI and OpenAI Realtime API, it becomes a professional-grade system for real-world automation.
FAQ
Does MoltBot Voice Agent require a Pro plan?
Yes, Codex CLI is included with ChatGPT Plus or Pro.
Can it run offline?
Realtime voice processing requires an internet connection, but execution remains local.
Does it support multiple languages?
Yes, add language parameters to the Realtime API.
Is it secure to host locally?
Yes, local hosting ensures all processing happens on your device.
Can it publish to WordPress or send Telegram messages?
Yes, using MoltBot’s integrated browser and API automations.
