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Source channel @githubtrending · Post #15399 · Jan 7

#python#agent#agent_framework#browsecomp#deep_research#futurex#gaia#hle#research_agent#search_agent#xbench MiroThinker v1.5 is the top open-source AI search agent with a 256K context window and up to 400 tool calls per task for deep web research, code execution, and multi-step reasoning. It leads benchmarks like HLE-Text (39.2%), BrowseComp (69.8%), and GAIA (80.8%), beating other free agents at low cost. You benefit by getting accurate, real-world research help—like finding arXiv papers or solving complex queries—faster and cheaper than paid tools, with full open-source access on GitHub and Hugging Face. https://github.com/MiroMindAI/MiroThinker

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djangoproject

@djangoproject · Post #585 · 03/23/2018, 02:43 AM

https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.

djangoproject

@djangoproject · Post #262 · 02/16/2017, 07:24 AM

http://masnun.com/2015/11/20/python-asyncio-future-task-and-the-event-loop.html On any platform, when we want to do something #asynchronously, it usually involves an #event loop. An event loop is a loop that can register #tasks to be executed, execute them, delay or even cancel them and handle different events related to these operations. Generally, we #schedule multiple async functions to the event loop. The loop runs one function, while that function waits for #IO, it pauses it and runs another. When the first function completes IO, it is resumed. Thus two or more functions can #co_operatively run together. This the main goal of an event loop.