AI 智能体1 week ago
Solari
The fastest infra for AI agents. Deploy browsers, sandboxes, and execution environments to automate at scale.
@getsolari · X
the worlds fastest agent infra
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The fastest infra for AI agents. Deploy browsers, sandboxes, and execution environments to automate at scale.
@getsolari · X
the worlds fastest agent infra
为AI编程工具提供的Linux工作环境，可在会话间保持文件、依赖项和服务。
@SeagerCortez · X
为AI代理提供托管服务，支持持久工作空间、记忆和自动备份。
@hijak01 · X
check out the demo
用AI生成旅游行程和计划，仅需几分钟
jalonso · Product Hunt
naistrip Plan your trip with AI in seconds, not hours
BotbaseAI：无需编码快速构建并部署 AI 客服机器人
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS
使用自动审计发现 AWS、Azure、GCP 等的隐藏云和 AI 成本。
ssgonella · HN
QuantumReckon – find your real cloud and AI spend, including tokens
使用AI设计移动应用界面，导出HTML、设计令牌和代码。
@9to5_Dad · X
Ai mobile app ui designer with taste
Lexmount云浏览器基础设施，帮助AI代理自动化网络任务。
lexmount · GitHub
moli Best browser for AI agents, built in Rust.
在加密工作区中与 Claude Code 和 Cursor 等 AI 代理共享文件和日志。
@Raullen · X
6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin
用一行代码部署强大的 AI 模型，享受业界最具竞争力的 GPU 价格。
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47
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
Workser: 构建、部署AI应用和自动化业务工作流的平台。
@khemmapich · X
itself in the early days focus on help small business to run their business on ai agents with vibe coding, workflow automation, and ai employees.