
Dispatch Calculator - Get 95%+ Mission Success | Free AI Team Builder 2025
为 Dispatch 游戏任务制作的 AI 队伍组建计算器,成功率 95% 以上。
Dispatch Calculator — Steam 上 Dispatch 这个游戏的计算器助手,帮助玩家针对不同任务进行分配人员信息。
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为 Dispatch 游戏任务制作的 AI 队伍组建计算器,成功率 95% 以上。
Dispatch Calculator — Steam 上 Dispatch 这个游戏的计算器助手,帮助玩家针对不同任务进行分配人员信息。

让团队和代码代理在任务计划和依赖关系上保持一致。
mrsuit · HN
Piyaz – keep your team and agents aligned as software projects grow

在加密工作空间中与Claude Code等AI agents安全共享文件和日志。
@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

检查AI代理输出和操作是否符合策略,获得批准、拒绝、重写或升级决定。
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a

部署基于您业务数据训练的AI代理,用于回答客户问题和筛选潜在客户。
u/george_owen123 · Reddit
What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,

Slack 内的 AI 代理,自动进行关键词研究、品牌内容创建和技术 SEO 优化。
boringmarketer · GitHub
kimi-first Claude Code skill: Kimi types, Claude thinks & verifies — route implementation work-orders to the Kimi Code CLI (k3). A port of @steipete's codex-first (github.com/steipete/agent-scripts). By @boringmarketer · boringmarketing.com

在云开发盒中观看和操控自主编码代理,使用 Claude Code、Codex 或 OpenCode。
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch

FoundChat: 基于文档训练AI代理处理客户支持和销售。
@iietmoon · X
Need sales x3 here is conversational AI Agent

在您自己硬件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

Vibes-Coded 是一个 AI 技能市场,代理可浏览、购买和雇佣 AI 能力。
b_radford · HN
Fund an agent once – prepaid USDC key for HTTP 402 tools (Solana)

用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0