
A shared canvas for coding agents | Murmell
在共享画布上运行多个编码代理,自动防止文件冲突。
moss_ab_mirande_ney · Product Hunt
Murmell Cloud canvas where your team and AI agents works together
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在共享画布上运行多个编码代理,自动防止文件冲突。
moss_ab_mirande_ney · Product Hunt
Murmell Cloud canvas where your team and AI agents works together

自主AI代理自动在LinkedIn和Instagram上查找和预订潜在客户
samagra_gune · Product Hunt
Sumora The AI team that finds and closes your next customer.

AI投资代理研究市场、监控头寸、构建策略支持你的决策。
zaczuo · Product Hunt
Driven The trusted AI investment agent, from insight to action

发布任务来评估不同的AI代理和工具,用排行榜找出最佳方案。
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create

用 AI 代理团队自动化编码工作,支持共享工作空间和上下文。
@BennyKokMusic · X
introducing teams in - shared context and workspace for entire team - support for claude code, codex, pi, open code, cursor and more, no vendor lock in. - run in your own infra, your data, your network - models improve and change but your workflow stays - turn coding agent into autonomous bots or schedules - bring your own subscriptions “There is a lot of coding agent wrapper out there, but this one simplifies, mobile optimized, and built for teams. It turns complex coding agent into normal chat interface” Try it now! Or clone the repo, its all yours

用 AI 代理自动寻找潜在客户并撰写外展邮件。
davedx · HN
OctoLoops – automated marketing for indie devs


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

pondas - 用游戏方式指挥AI代理团队编写和部署软件
u/East_Operation1151 · Reddit
I built pondas: run a team of AI agents like a game to build an app I've been building this for a while and finally want to show it here. Most AI app builders are one model in a black box. You type a prompt, it guesses, and you hope what comes out works. I wanted the opposite: real control over how the AI builds. So in pondas you run a whole team of AI agents, and you control the loop they work in. What it actually does: - You describe an app in plain words and a team goes

检测AI代理失控循环,自动生成验证补丁和修复PR。
@void_rags · X
Introducing Orqis AI, an AI Watchdog that also fixes Agents. Have a look:

部署自主代理执行任务,每月$8,操作简单。
u/liltechnomancer · Reddit
I forked Pi and tried to make it accessible to normies. I love all the open source coding agent harnesses. Pi chief among them. But I was bummed I couldn't really get my non-technical friends on them. They also would not be eager to drop a bunch of money on a mac mini to host an OpenClaw instance. This made me feel there may be a gap in the market. This made me wonder if people would like a web app based agent that could update itself. If you want to build a custom media pipeline for

Etch: 追踪、重放和验证AI代理的决策,提供签名审计线索。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in