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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]
在Second Mind中保存书签、视频和笔记，AI知识库会总结内容并关联想法。
@vhm205 · X
Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them
上传AI对话记录，获取证据支持的报告
@StilThinkng · X
Tired of repeating the same context across ChatGPT, Claude, and Grok? SoulBots builds a privacy-first memory that grows with you across AI. Looking for early testers.
定义一次团队信息，让所有 AI 工具同步访问和更新。
@nav_ux · X
BaseThread here. We're building the shared context layer so a team's AI tools, Claude, ChatGPT, Cursor, all read and write the same thing instead of starting cold every session.
AI助手用于聊天、编码和API，支持30+个前沿模型并学习你的代码库
@otakuaakash · X
创建一个个人上下文文件，AI 工具在响应前会读取它，代理会持续更新，支持跨平台使用。
@connorhpbrn · X
the garden for your context
一个私密AI助手，生活在Telegram中，记住聊天内容，用你的API密钥运行。
@latent_node · X
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AI驱动的模拟和专家反馈练习系统设计面试。
@ShashankCode · X
Checkout here :
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)
