开发者工具1 month ago · 1 次试用
Kit for AI — The Memory Layer for AI Agents
为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
Open source
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
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为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
将文档和笔记转换为可编辑演示幻灯片和图表的AI工作区。
dyfang · HN
TchoAI – Transform your documents into editable slide decks
Use fast calculators and browser-local utilities for AI costs, local hardware, automation, website planning, and everyday decisions.
@Erko95261453 · X
用AI摘要YouTube视频和播客，保存和下载摘要及文稿。
@slaven_ra · X
- recently added subscribe to Youtube channel feature to receive auto-summaries via email on each new published video
用AI转录和总结YouTube视频、播客、PDF和MP3/MP4文件。
sipsip.ai — 支持30+平台视频AI转录并提取摘要，订阅RSS可以每天发送早报
KiteArc AI 根据你的简历匹配科技职位，撰写求职申请。
mayurpawar · Product Hunt
KiteArc.com AI reverse recruiter
与团队和AI代理在一个工作空间中构建、验证和发布软件。
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte
检查 RAG 块并可视化 AI 代理工作流、内存架构和执行轨迹。
@Higgs0110 · X
STROKIX 连接多个业务工具的 AI 工作区,让团队提问和批准操作。
@Strokixx · X
为 Arduino、ESP32 和 Raspberry Pi 等平台设计电路、模拟和共享项目的开源注册表。
@locatornation · X
