开发者工具4 weeks ago
Open Cloud: Sovereign cloud engines on the Internet Computer
Open Cloud 是为 AI 代理配置主权无服务器云引擎的平台。
@jackbearsupply · X
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60 projects
Open Cloud 是为 AI 代理配置主权无服务器云引擎的平台。
@jackbearsupply · X
AskCodi 多模型 AI 代码助手，支持代码生成、重构和智能代理编排。
shreyans_assistiv · Product Hunt
AskCodi Orchestrate agents at scale while reducing cost
通过回答问题构建AI代理，导出到Claude Code。
@manu_jsx · X
Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.
Create AI workers that connect to real systems, use trusted knowledge, and run locally, through CLI and MCP, or on AgentMug Cloud.
@AbdullahDahshan · X
上传 AI 项目代码，自动化开发规划、部署和生产集成。
Haven — vibe coding 部署平台，上传 ZIP 或连接 GitHub/Gitee，AI 梳理需求并补齐支付、多用户、日志安全、运维等环节，一天内交付可对外服务的产品
基础设施平台，连接 AI agents 到 800+ OAuth 集成，支持沙箱代码执行。
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions
多语言代码学习助手，可在浏览器中直接编写和执行代码。
@francis7_a · X
Building - learning tools for devs and student. happy to connect.
与团队和AI代理在一个工作空间中构建、验证和发布软件。
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)
AgentKanban是VS Code中的AI代理任务管理工具，支持会话间上下文持久化。
gb2d_hn · HN
It was with the transience of valuable agent session dialogue in mind that I built https://www.agentkanban.io - A key feature is context capture in the tasks which you create on the board and then progress in agent sessions. Supported agents are currently Claude and Github CoPilot in VS Code. All of your context is captured in the task and can be reloaded into new agent sessions at any point in the future. Tool use is intentionally discarded because it is proprietary in nature and therefore brea
Manju - 与多个AI模型聊天，进行深度研究和编码任务。
@Shekar77hima · X
run deepresearch, coding agents for free.