AI Agents
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Google's modular toolkit that lets AI coding agents hunt, reproduce, and patch vulnerabilities autonomously.
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View guide →Build voice-based LLM agents with a modular, open-source toolkit.
vocode-core is an open-source ai agents project by vocodedev (vocodedev/vocode-core on GitHub). It has 3,802 GitHub stars and 655 forks, is released under the MIT license, and was last updated on GitHub on 15 November 2024.
Know what you want the agent to accomplish before touching any code.
Clone the repo and read the README's requirements section.
Install what's needed and add API keys or configuration.
Run the quickstart example, then iterate from there.
Speech in, speech out — end to end.
Swap STT, LLM, and TTS independently.
Built for live conversation.
MIT-licensed voice stack.
Hackable in the standard AI stack.
Patterns for phone-based agents.
Download the source and move into the project folder.
git clone https://github.com/vocodedev/vocode-core.git
cd vocode-coreIsolate dependencies, then install requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtLaunch using the entry point shown in the README.
python -m vocode_core # check README for the exact commandIt is an open-source project at vocodedev/vocode-core with 655 forks. Check the contributors tab and recent commits to judge how active maintenance is.
Yes — it's MIT licensed: free to use, modify, and ship commercially. Just keep the license notice in copies.
Last push was November 2024 — treat it as reference architecture and look for maintained forks.
STT, LLM, and TTS providers, plus telephony if you want phone calls — the README has the classic setup.
Clone the repo and follow the README quickstart — the docs at https://vocode.dev walk through setup.
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