ИИ-агенты
mantis
Google's modular toolkit that lets AI coding agents hunt, reproduce, and patch vulnerabilities autonomously.
★ 2,4 тыс. звёздApache-2.0
Смотреть руководство →vocode-core — проект с открытым исходным кодом из категории «ИИ-агенты» от vocodedev (vocodedev/vocode-core на GitHub). У него 3 802 звезды на GitHub и 655 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 15 ноября 2024.
Build voice-based LLM agents with a modular, open-source toolkit.
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.
Google's modular toolkit that lets AI coding agents hunt, reproduce, and patch vulnerabilities autonomously.
A TypeScript toolkit for building agents: unified LLM API, loop, TUI, and CLI.
Stream's open Vision Agents — build real-time voice and vision agents with any model or video provider.
Code, build and evaluate LLM agents with full MCP, Skills, ACP and A2A support.
SimWorld: an Unreal Engine 5 simulator for evaluating LLM/VLM agents in physical and social worlds.
Agentic memory for LLM agents, from a published research project.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если vocode-core вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к vocode-core — продолжайте изучать полку по обе стороны от него.
A portable AI agent runtime for the JVM — write one @Agent, run it on any Java AI stack.
A rigorous benchmark for LLMs acting as agents.
Research-backed lifelong memory for LLM agents, text and multimodal.
An open-source multimodal retrieval engine for agent pipelines.
Tutti — a real-time shared workspace where people and multiple AI agents build in tune, sharing context, files, apps and tasks
Google's Python SDK for building AI agents on the Antigravity platform and Gemini models.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.