
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。
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.

基于您的知识库的AI办公助手,自动化编码、研究和演示任务。
zhiheng_huang · HN
Sharper – an AI office agent grounded in your knowledge, with citations

在一个工作区对比并运行多个AI模型生成文本、图像和视频。
AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)

与多个 AI 模型聊天,进行深度研究和编码任务。
@Shekar77hima · X
run deepresearch, coding agents for free.

用前沿AI模型生成并分享图像,当他人基于你的提示词创建作品时获得收益。
u/raidenblackout · Reddit
I spent 6 months building my AI platform and 0 days marketing it. Trying to fix that now So I've been building Nodal ( https://app.asknodal.com ) for about 3 months now. Basically it's a Pinterest-like app for AI-generated images. And the neat part is you top up one credit balance and can use it to generate from multiple platforms like Nano Banana, ByteDance, Flux, etc. So for the last 3 months I have been working on feature after feature, refactoring, trashing some features, and then build

部署理解业务逻辑的AI智能体来自动化企业工作流和统一知识。
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @

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

通过偏好学习让你的AI产品理解用户品味
@marcellafjacob · X

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

自动化LinkedIn销售推广以预热客户和预约会议
rohanrecommends · Product Hunt
Fuzzy AI We warm your prospects before reaching out

Ornymo通过语义缓存减少LLM查询成本和延迟。
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
