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32 projects
从浏览器或手机跨设备管理您的 coding agents。
@vilmire_tmp · X
Tired of alt-tabbing between terminals to check if my coding agents were done, stuck, or waiting on approval. So I built ADHDev: control Claude Code / Codex / Cursor CLI from your browser or phone, on every machine you own. AGPL self-hosted edition too.
将自主编码代理部署到代码库，支持多模型路由。
@LeeLeepenkman · X
nice im working on lots of AI stuff so right now :)
在统一终端界面中协调多个 AI 编码代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI
用AI代理自动部署您的代码仓库到生产环境。
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it
供多个 AI 编码代理协作的可视化工作台。
austinvhuang · HN
Collaborate.dev – Multiplayer Visual Desktop for Coding Agents
用于与编码代理协作进行规划和原型设计的本地笔记本。
narwhster · HN
A notebook for prototyping with your agent
用AI驱动的代理团队创建和部署应用
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to
Intentic — 在自有硬件上的沙箱中部署和运行AI代理的IDE。
u/EagleApprehensive · Reddit
I've made an IDE. I built intentic.dev , a free IDE that runs self-hosted on your hardware in docker - can be easily shared with coworkers and deployed on servers. It's not for you! It's a home for agents, you're just a guest there so behave. Comes with cool stuff for AI powerusers - token saving mechanisms, codebase indexers, healthiness checkers - helps you keep the code manageable. Can connect to stuff as well. And if you're crazy you can even add widget to your produc
对比不同Agent Harness策略的成本，基于缓存和上下文计费。
taosx · HN
I created a simulation for coding harnesses based on my own pi sessions. When taking into account all factors, DS-v4-Pro is cheaper than gpt-5.6-luna due to caching. Look at the bill segments difference for cache read cost and uncached cost between deepseek and the other models. At this point is cheaper to use ds-v4-pro than the luna models from openai. ignore the numbers except the classic and keep in mind that classic is based on pi with the only change limiting tool output to 10kb https://har
