Microsoft open-sources Agensh multi-agent harness
Microsoft Research open-sourced Agensh, a decentralized multi-agent harness. It scales to 1,024 agents on the ProgramBench benchmark, offering a self-organizing collaboration model without a central orchestrator.
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Tsinghua Open-Sources AKV LLM Cache Engine
Tsinghua University researchers released AKV, an open-source cache engineering serving system based on SGLang. By dropping and repositioning KV cache instead of summarizing history, it cuts the average cost by 27.7% across four agent benchmarks. This helps optimize execution efficiency and cost for large language models in agent applications.
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Tencent Releases Open-Source World Model Hy-Nomas
Tencent released the open-source world model Hy-Nomas, which generates game-like interactive virtual worlds and supports local execution on RTX 4090.
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HKUST and Yanshan Tech open-source new KV cache optimization model
HKUST and Yanshan Tech open-sourced an AI model that compresses KV Cache by 99%. This technology boosts single-card throughput by six times, supporting 512-way parallel long inference.
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LiteLLM Reveals Supply Chain Attack: Unrevoked Key Compromised Releases
Open-source AI tool LiteLLM released an investigation showing attackers exploited a May-omitted and unrevoked key to gain GitHub admin access and steal maintainer credentials. Hackers then hijacked the release process, pushing malicious versions to PyPI and container repositories, affecting related developers.
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Nanbeige Releases Open-Source Agentic Coding Model 4.3-33B
Nanbeige LLM Lab released Nanbeige4.3-33B, a 33B parameter model licensed under Apache 2.0 with 512K context support. The model scored 80.9 on Terminal-Bench 2.1 and will be used to teach the upcoming smaller 3B variant.
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