AI 智能体5 days ago
TruthAgent — One AI answer is a guess. Multiple is a signal.
向多个AI模型提问，观看它们辩论获得答案。
@ZUKOWEB3166 · X
Vibe coding is more interesting when you use Truth AI
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向多个AI模型提问，观看它们辩论获得答案。
@ZUKOWEB3166 · X
Vibe coding is more interesting when you use Truth AI
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
描述功能，AI代理自动生成代码并审查，生成可提交到GitHub的拉取请求。
kellan_strong · Product Hunt
Factory Nexus by TynHub Ai and swarm agents
跨提供商治理、追踪和防护 AI 代理的安全平台
camsjams · HN
Lineation – One security control plane for all agents
reachpad: 在浏览器中运行和监控编码代理的基础设施
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser
使用AI代理团队构建和部署应用程序。
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.
云端个人AI助手，自动化工作流、驱动浏览器和执行研究。
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe
在云devbox中监控和控制自主编码代理的平台。
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch
在平台上管理和同步你的AI Agent技能配置，避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
在统一界面编写、模板化并启动跨多个AI平台的提示词。
@promptboxxx · X
Have all your AIs in one place and never repeat a prompt
用于LinkedIn的AI助手，自动发现商机、职位、候选人并生成内容。
@Practmedia2 · X
