
ContextIQ — AI Context Engineering Suite for AI Engineers
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
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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

在AI助手间共享上下文,让它们记住代码库和任务历史。
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.

Recall 是用于工作会话的 AI 记忆。它在您工作时静静地运行,将您的日程整理成项目、线程和任务,这样您可以一键返回任何工作片段
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first

用 flashcards、测验和 AI 辅导学习编程技能,基于记忆科学。
@mkappworks · X
I am building lets connect

租赁计算资源,部署开源AI模型
playAutonomica · GitHub
Autonomica Rent GPUs and run any AI model, paid in SOL. Buy with $RAM and every $RAM spent gets burned.

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

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

用于组织和共享视觉资产的数字资产管理平台,支持 AI 代理集成。
@raster_app · X

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]

Leveraging the Bittensor ecosystem, Vidaio provides scalable, affordable, and high-quality video processing solutions.
@vidaio_ · X
Ai driven, video enhancement!

利用 AI 驱动的 transcription、interpretation 和 insight discovery 来记录和分析你的梦境。
@Dreambridge_App · X
Stop chasing dreams. Capture them instead with premier AI dream journal with interpretation and practical life solutions. Download at

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