
upload | 跨 AI 的长期记忆
一个共享记忆层,在不同的 AI 工具和设备间保留你的决定、偏好和项目。
upload — 跨 AI 的长期记忆层,让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆,换工具换设备都接着上次继续,注册即用免装插件
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一个共享记忆层,在不同的 AI 工具和设备间保留你的决定、偏好和项目。
upload — 跨 AI 的长期记忆层,让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆,换工具换设备都接着上次继续,注册即用免装插件

在本地处理数据来屏蔽个人信息,降低发送到Claude、ChatGPT等API的token成本。
@AI_303030 · X

一个提供认证、存储和LLM集成的Backend平台,无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps

通过 GridSync API 实时同步跨设备数据,具有自动威胁检测和清理功能。
@mygridsyncdev · X
Just launched GridSync ⚡️ Sub-150ms zero-trust payload inspection & real-time sync for modern APIs. Try the free tier on RapidAPI or check out the docs: #buildinpublic #API #FastAPI

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

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

通过 AI 辅助写作,从 API 规范和文档生成品牌化的开发者门户
@jitendraballa · X

为AI代理和商业平台提供公司和人员数据的B2B API平台
@zeynepavann · X
Thank you to everyone who joined our "map your TAM from the terminal" session with last week. We built live in the terminal using Claude Code and the MCP. I wrote up the whole thing afterwards. The seven stages, why each one exists, what to do with the list once you have it, and the outreach half we covered at the end. The recording is linked inside. The skill is public too, so you can run it on your closed-won book. You bring your own accounts; the engine does the expansion, scoring, and contact-finding. Comment "TAM" and I'll send you both skill and guide.

@rdbuilds7 Memory Layer for AI Agents Product - https://t.co/mbRK424Ws4 Guide - https://t.co/W9xosDWLzQ
@Pankaj41521 · X
Memory Layer for AI Agents Product - Guide -

读取 GitHub 仓库并自动提议改动、创建拉取请求的 AI 代理。
@MetriQAI · X
— Stop re-explaining yourself to every AI. One workspace. Every AI. Shared memory.

聘用 AI agents 自动化业务任务,如客户支持、销售和运营。
@ishaqjan619 · X
Agentic Infrastucture Platform, launch and build scalable AI agents in one go.

在统一终端界面中协调多个 AI 编码代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI