AI 智能体1 month ago
Rerun | Run agents you can actually watch work
构建AI智能体并在交互式仪表板上实时可视化其执行。
@Aurelsuuu · X
this is my product, come take a look:
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构建AI智能体并在交互式仪表板上实时可视化其执行。
@Aurelsuuu · X
this is my product, come take a look:
为AI代理构建数据库、看板和笔记进行协作。
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly
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.
Orca是用于构建和部署AI代理的平台，提供隔离执行和成本计量。
@okiktech · X
Create AI workers that connect to real systems, use trusted knowledge, and run locally, through CLI and MCP, or on AgentMug Cloud.
@AbdullahDahshan · X
Ultra-specialized secure AI agents to propel your revenues.
@TharejaRushil · X
Build, verify, preview, share, remix, and deploy full-stack apps with managed databases, storage, Stripe, backups, and 73 MCP tools for AI agents.
@nexusai_apps · X
浏览设计模板和提示词，用于 Claude Code 和 Cursor 等工具。
tungtbt · HN
Agent's Design – Claude/Codex copy-paste templates that kill AI-slop UI
使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code
AppZilla是一个AI应用市场，可以构建、销售和定制工作流。
u/AppzillaHQ · Reddit
3 days into testing whether vibe coders want to become micropreneurs One thing I’ve been thinking about a lot is how AI changes what kinds of software businesses are worth building. A lot of ideas used to be too small to be venture-backable. The market was too niche, development was too expensive, and supporting the product made the economics hard. AI changes some of that. It makes it much cheaper to build highly specific software for smaller groups of customers. That’s the experiment b
ClawMaven — AI 代理部署治理层，支持设计和验证
@paulrodturner · X
与AI智能体对话，用GLM-5.2构建网站、编写代码和处理复杂任务。
@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