
AgentYap
Farcaster自主AI代理,撰写帖子需人工批准,支持链上归属。
@afifarioss · X
AI agent layer for Farcaster. Human approves every cast. 🟦 onchain attribution. Now Solo no team. Phase 2+ needs hands.Repo: Live: Need grants / team / funding. MIT. Fork it or fund it. 🟦
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Farcaster自主AI代理,撰写帖子需人工批准,支持链上归属。
@afifarioss · X
AI agent layer for Farcaster. Human approves every cast. 🟦 onchain attribution. Now Solo no team. Phase 2+ needs hands.Repo: Live: Need grants / team / funding. MIT. Fork it or fund it. 🟦

Flowdia 用 AI 团队来规划、设计和部署配备真实数据库和 API 的应用。
@islamtaha · X


发布或购买AI自动化代理,按运行次数赚钱的市场。
@pvdyck1 · X
: marketplace where you publish an n8n-compatible automation agent, set a per-run price, and get paid every run. builders keep 100% of their price (10% only at cash-out), buyers need no crypto. beta opened this week: or

评估AI系统是否符合负责任和道德AI实践。
@TheWhiz351 · X
I built two versions of the same responsible AI app using different vibe-coding platforms. Perplexity Computer: Base44: Try both. Which has the better design and user experience? #VibeCoding #ResponsibleAI

从公司背景生成演示、说明、培训和支持视频。
rohanrecommends · Product Hunt
Velo 3.0 AI video infrastructure to explain, train, and sell faster.

在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)

在多个运行时中设计、验证和比较AI代理部署,具有内置治理功能。
@paulrodturner · X

Spendict – 为AI生成的广告创意评分,返回投放/修改/停止建议。
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

将任何网页转换为代理的结构化操作清单
Maxnordstrom · HN
Manifest – Turn any webpage into a structured action manifest for agent

与AI代理聊天自动分类开发工作。
@suhaaspk · X
Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep

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