Tooling4d ago
DeepSeek Harness team open-sources dsh-superagent, a proactive coding agent prototype for a single GitHub repo, alongside its Super-agent architecture article
On Oct 31, deepseek-ai open-sourced dsh-superagent-prototype on GitHub under the MIT license: a proactive coding agent that runs as a DeepSeek Harness bundle, lives on one GitHub repository and can optionally listen to Feishu. When an allowed person asks for work, it opens a work item, works in its own session and directory, and answers in the original conversation, for example with a pull request. The README states it is a research prototype, not an official DeepSeek product. The companion article, Exploring Super-agent Design, proposes a two-layer Router-Worker architecture; the team test, as reproduced by media, reports a p95 completion time of 15.7 minutes versus 29.5 minutes for a single-session setup.
Pricing43d ago
OpenAI improves GPT-6 prompt caching: higher default hit rates, up to 90% off cached input
OpenAI Developers (@OpenAIDevs) announced prompt-caching improvements for the GPT-6 API: higher default cache-hit rates so more input tokens get cached-input discounts of up to 90%, helping agents run faster and cheaper. OpenAI docs also point developers to the Prompt Caching Dashboard and miss Diagnostics.
Tooling6d ago
CrowdStrike: China-nexus VAPOR PANDA used the ARTEX multi-agent framework, mainly on DeepSeek, against 200+ organizations in 11 days
CrowdStrike reported on Oct 29 that the China-nexus espionage group VAPOR PANDA, starting Oct 17, ran the open-source agentic intrusion framework ARTEX with DeepSeek plus a second, unconfirmed commercial LLM, hitting more than 200 organizations in at least 14 countries from a single controller over 11 days. Post-exploitation was confirmed at nine organizations, where the BLOODALCHEMY backdoor was deployed. Planning agents used about 1.4 billion input tokens in a single intrusion, and recovered transcripts show a human operator steering the agents in Chinese at key decision points.
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