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Source channel @githubtrending · Post #15077 · Aug 20

#c_lang#infiniband#iwarp#kernel_rdma_drivers#linux_kernel#rdma#roce#userspace_libraries You can use RDMA Core, a set of Linux userspace libraries and daemons, to work with RDMA devices for high-speed network communication. It supports many kernel drivers and provides tools and libraries like libibverbs and librdmacm to manage RDMA devices and connections. You can build it easily with cmake and install required packages depending on your Linux distribution. Using RDMA Core lets you set up software RDMA interfaces and verify them with commands like `ibv_devices` or `rdma link`. This helps you achieve faster, low-latency data transfer, which is useful for high-performance computing and networking tasks. https://github.com/linux-rdma/rdma-core

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NEWS 鏈新聞-ABMedia

@abmedia_news · Post #23709 · 04/07/2026, 01:34 PM

【🚀AI 人工智慧|Agent Harness 才是關鍵:為什麼同一個 AI 模型在不同產品表現天差地遠 】 #Agent#Harness#AI 📍請見報導: https://abmedia.io/agent-harness-engineering-why-same-model-different-performance 📍訂閱鏈新聞頻道:https://linktr.ee/abmedia.io

NEWS 鏈新聞-ABMedia

@abmedia_news · Post #23801 · 04/11/2026, 09:30 AM

【🚀AI 人工智慧|Harness Engineering 是什麼?AI 的下一個戰場不是模型,而是模型外面的那層架構 】 #Harness#Engineering#AI 📍請見報導: https://abmedia.io/harness-engineering-ai-agent-framework-explained 📍訂閱鏈新聞頻道:https://linktr.ee/abmedia.io

GitHub Trends

@githubtrending · Post #15523 · 02/25/2026, 12:30 PM

#typescript#agent#agentic#agentic_framework#agentic_workflow#ai#ai_agents#bytedance#deep_research#harness#langchain#langgraph#langmanus#llm#multi_agent#nodejs#podcast#python#superagent#typescript DeerFlow 2.0 is an open-source super agent harness that orchestrates multiple sub-agents, memory systems, and sandboxed execution environments to accomplish complex tasks. Built on LangGraph and LangChain, it combines research, coding, and content creation capabilities with extensible skills and tools. The platform features isolated Docker containers for safe execution, long-term memory that learns your preferences, and the ability to spawn sub-agents that work in parallel on different task angles. You benefit from dramatically reduced research and automation time—tasks that typically take hours complete in minutes—while maintaining full transparency and control over agent decisions through human-in-the-loop collaboration. Whether you need deep research reports, data analysis, slide decks, or custom workflows, DeerFlow handles multi-step complexity without requiring extensive coding knowledge. https://github.com/bytedance/deer-flow

Desi Memes Funny Jokes

@desi_memes_funny_jokes · Post #5101 · 07/31/2024, 08:22 AM

#TransformAnger#FuelForSuccess#Harness TheEnergy #PassionDriven#Success Mindset #RiseAboveChallenges #HappinessJourney#PracticeMakesPerfect#Mindfulness#Gratitude#KindnessMatters#JoyfulMoments#PersonalGrowth#HappinessIsAChoice#SpreadLove#LiveFully#MotivationalStudio#AashiqShekhMotivational#FitnessFuelHub#RemixedRhymes#LaughingStudio