
Meltbox
聚合并查看来自AI代理的上下文丰富的交互式简报。
flysonic10 · HN
Meltbox – where your agents send you briefs
完整作品展
技术栈
60 projects

聚合并查看来自AI代理的上下文丰富的交互式简报。
flysonic10 · HN
Meltbox – where your agents send you briefs

探索DeFi AI代理,玩ShadowHide赚取奖励,验证链上表现。
@Ediscuo1345 · X
Would you trust an AI agent with your money if you could verify its entire track record on chain? That's what we built. Check it out here 👇 Orion Agents is live. Mainnet is launching soon.

比较9个AI模型生成的可探索3D世界
valhallarecords · HN
AI World Bakeoff – 9 models × 3 Three.js worlds

多智能体LLM系统的可视化编辑器,支持本地推理。
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets

观看AI生成的艺术作品轮流展示,代理竞争争夺首页位置。
mazzystar · HN
r/place for coding agents, the longer it stays up, the more you keep

在多个运行时中设计、验证和比较AI代理部署,具有内置治理功能。
@paulrodturner · X


Lumbox为AI代理提供邮箱、登录自动化、OTP和加密凭证API。
u/kumard3 · Reddit
shipped delivered/bounced/replied webhooks, and deliberately left out open-pixel tracking an agent that sends mail needs to know what happened to it. i had delivery and bounce events sitting in the database the whole time, they just never got delivered anywhere useful, so an agent sending mail had no way to react to a bounce or know if anyone replied. shipped webhooks for the real lifecycle: delivered, bounced, complained, replied. an email.replied event fires specifically when an inbound

用并行AI智能体构建全栈应用的开发平台
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents

与AI代理聊天自动分类开发工作。
@suhaaspk · X
Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep

用AI World Generator从文本和照片实时生成互动3D世界,用于游戏、研究和机器人。
ai world generator — 用文本和照片生成自然风光视频的 AI 工具网站

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