ИИ-агенты
llm-wiki
Parallel multi-agent research that compiles wikis from any topic.
★ 1,4 тыс. звёздMIT
Смотреть руководство →dmux — проект с открытым исходным кодом из категории «ИИ-агенты» от standardagents (standardagents/dmux на GitHub). У него 1 793 звезды на GitHub и 138 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 16 августа 2026.
Dev agent multiplexer designed for git worktrees and coding agents.
Decide what you want dmux to do first — dev agent multiplexer designed for git worktrees and coding agents.
Change the config to match your workflow, then run it daily.
The README documents setup; start with the install section.
Pull the latest changes to stay current with fixes.
Working agentic workflow support built in.
Coordinates multi-step agent behavior.
Drive it from the terminal.
Working coding agents support built in.
Runs directly in the browser.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/standardagents/dmux.git
cd dmuxServe the files locally with Python.
python3 -m http.server 8000Load the app in your browser.
open http://localhost:8000Yes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
That depends on the feature. Local-capable parts run offline; anything calling a cloud API needs a connection. Check the docs.
Parallel multi-agent research that compiles wikis from any topic.
Zig code intelligence server and MCP toolset for AI agents.
Run poco-claw locally: a more beautiful and easier-to-use alternative to openc.
Mobile app automation and verification built for AI coding agents — CLI, MCP server, and Node API
Battle-tested coding rules for AI agents, distilled from classic programming books.
Self-hosted ai agents: minimal ai coding agent (~1,000 lines of python) inspir.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если dmux 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 dmux — продолжайте изучать полку по обе стороны от него.
Self-hosted ai agents: minimal ai coding agent (~1,000 lines of python) inspir.
Reliable computer use for any agent: drive real apps through accessibility trees, not pixel guessing.
Android GUI agent framework: AI that sees, plans, and taps real mobile apps.
Retired agent framework: its prompts and guides live on in successor repos.
Management console for installing and monitoring AI agents and pipelines.
Self-improving memory layer that works across AI agent harnesses.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.