ИИ-агенты
commonly
Shared rooms where humans and cross-vendor AI agents work together.
★ 1,4 тыс. звёздApache-2.0
Смотреть руководство →zero — проект с открытым исходным кодом из категории «ИИ-агенты» от Twigpine (Twigpine/zero на GitHub). У него 1 695 звёзд на GitHub и 194 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 28 сентября 2026.
A coding agent that runs on your model, your machine, your rules.
Download the source and enter the folder.
Compile the Go binary.
Add your provider API key per the README.
Launch zero in your project directory.
Works with Anthropic, Gemini, and more.
Runs locally under your control.
Behavior configured by you, not a vendor.
Extends through the Model Context Protocol.
Fast single binary, no runtime to install.
Wide community adoption.
Download the source and move into the project folder.
git clone https://github.com/Twigpine/zero.git
cd zeroCompile the Go binary.
go build ./...Start zero in your project after configuring a key.
./zeroIt is an open-source project at Twigpine/zero with 194 forks.
Yes. It is MIT licensed.
Anthropic, Gemini, and others — you bring your own API key.
No. It runs on your machine under your rules.
Yes. It supports MCP for adding tools.
Shared rooms where humans and cross-vendor AI agents work together.
Run AI agents on desktop apps and CLI for hours without losing state.
Local-first dashboard of tokens, models, and cost for coding agents.
A Claude Code-style coding agent that runs anywhere and works with almost any model provider
Governance and orchestration for AI agent fleets: declarative rules, verifiable runs.
Write coding-agent rules once, then apply them to every AI coding tool you use.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если zero 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 zero — продолжайте изучать полку по обе стороны от него.
Lean coding agent written in Rust, optimized for memory footprint and performance.
Self hosted, live digital human agent system.
LangMem: long-term memory primitives for LangGraph agents that learn and adapt from conversations.
Give your AI coding tool expert Swift Concurrency guidance.
A code-first Java toolkit for building AI agents.
Open ai agents for spec-driven development with organizational governance..
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.