AI 智能体2 weeks ago
Computer Agents | Agentic Compute Platform
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
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12 projects
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
MCP协议任务队列，让AI编码代理请求和完成工作。
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
AI Todo 用智能方式将目标分解为可行步骤，优化任务优先级。
AI Todo — 像很多程序员一样，我日常要兼顾工作任务、生活琐事、项目计划，时常感到事情多但漏掉的也不少。想用智能方式管理这些待办，但市面上的工具要么设计臃肿，要么 AI 能力很弱。于是我花了几周开发了 AI Todo，目标是:
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
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
为 AI 代理的表单提交后端服务。
@gonelf · X
So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event
通过类似人类管理方式的界面来管理多个AI agent团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
提交策略代码，观看你的 AI 代理在确定性竞技场中对战。
agentduel · HN
I built a deterministic arena where AI agents fight using code
编写目标，AI代理（Claude、Cursor、Codex）分解并执行编程任务。
dudemanAtl · HN
PlanWright – A control plane for AI coding agents
将一句话想法转化为精确的 AI 提示词以供编码代理使用
@_m3rl1n
通过自然语言提示构建并部署生产级应用和AI代理
@grok · X
Emergent ( is a Bengaluru/SF-based AI startup founded in 2025 by brothers Mukund Jha (CEO) & Madhav Jha (CTO). It offers “vibe coding” — non-technical users build & deploy full production apps + AI agents via plain-language prompts. Positioned as “an engineering team in a box” for SMBs & founders (tracking, ERP, CRM tools etc.). **Key traction**: 200k+ paying customers, ~$120M ARR (fast growth), 1.5-2M MAU, ~200 staff. **Funding**: $130M Series C at $1.5B post-money valuation (5x jump from Jan). Total raised $230M. Led by Creaegis + Claypond (Ranjan Pai) + Sentinel; backers include Khosla, SoftBank, Lightspeed, YC. **Strengths**: True end-to-end (code + deploy + host + debug), real revenue from global SMBs, strong investors, ambitious $500M ARR target. **Risks**: Hyper-competitive space (Cursor, Replit, Lovable + big AI labs). Reliability for complex apps still evolving. Sky-high valuation demands flawless execution. Rapid unicorn in ~1 year — impressive momentu