@AloneSnowflake · Post #396 · 06/16/2024, 09:31 PM
𝐀dd 𝐒ticker ˓ 🔴 ˒ ༅ 𝐉oin 𝐂hannel ⋅•⋅ #Sticker#Boo#MonsterInc
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Source channel @githubtrending · Post #14935 · Jul 9
#other#clients#mcp The Model Context Protocol (MCP) is an open standard that lets AI models easily and securely connect to different data sources and tools, making it much simpler for developers to build smart apps that can access files, databases, and APIs without custom code for each one[2][3][4]. There are many free and easy-to-use MCP clients—like desktop apps, web apps, and command-line tools—that let you quickly add new AI features and automate tasks, so you can get more done with less effort and technical hassle. This means you can use AI to help with coding, data analysis, and daily work, all while keeping your data safe and your setup flexible[2][3][4]. https://github.com/punkpeye/awesome-mcp-clients
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@AloneSnowflake · Post #396 · 06/16/2024, 09:31 PM
𝐀dd 𝐒ticker ˓ 🔴 ˒ ༅ 𝐉oin 𝐂hannel ⋅•⋅ #Sticker#Boo#MonsterInc
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@djangoproject · Post #195 · 11/08/2016, 03:18 AM
http://stackoverflow.com/questions/29269370/how-to-properly-create-and-run-concurrent-tasks-using-pythons-asyncio-module In the case of trying to concurrently run two looping Tasks, I've noticed that unless the Task has an internal await expression, it will get stuck in the while loop, effectively blocking other tasks from running (much like a normal while loop). However, as soon the Tasks have to wait--even for just a fraction of a second--they seem to run concurrently without an issue. Thus, the await statements seem to provide the event loop with a foothold for switching back and forth between the tasks, giving the effect of #concurrency. Example output with internal await: running async test ...#boo 0 ...#baa 0 ...boo 1 ...baa 1 ...boo 2 ...baa 2
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@CosineGallery · Post #3741 · 11/15/2025, 12:23 PM
無題 Source by pixiv 彰メロ 原始标签:#StellaSora#Boo#Teresa#テレサステラソラ#肚脐 自定义标签:#甜妹#兽耳#可爱 尺寸: 1680x2520 @CosineGallery | 网站 | 3717
@cosplayuploadtest2 · Post #102722 · 03/23/2025, 03:37 AM
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