We are releasing DeepInfer, deepseek-recipe, and other vital components for serving DeepSeek models in the hope that more companies and organizations around the world will deploy DeepSeek models and profit from doing so.

DeepSeek just open sourced its high-performance, large-scale inference framework DeepInfer in Apache-2.0 license. Supported features: - Optimized kernels, model and sampler runtime - Parallelism: Attention DP / balanced CP, MoE EP + EPLB - DSpark and confidence-scheduled verification - SWA bounded replay - Asynchronous scheduling (zero-overhead batch scheduler) - Batch-invariant inference - Deterministic sampling - Structured output

Between 8:11 and 13:04 (Beijing Time) on October 15, 2026, DeepSeek API service system experienced a failure that prevented the API service from functioning properly during that period. We sincerely apologize for the inconvenience and disruption this may have caused. We immediately launched a comprehensive investigation and thorough rectification effort focused on service stability, and have comprehensively reviewed and eliminated single points of dependency to resolutely prevent similar issues from recurring. As compensation, we will fully refund the amount consumed within 7 days (10.8-10.14) on your account in the form of credit. The credit will be automatically deposited, and API billing deductions will be made from the credit account first. We apologize once again for the impact this failure had on you, and we thank you for your continued trust and support. 北京时间 2026 年 10 月 15 日 8:11 至 13:04 期间，我们的服务系统出现故障，导致该时段内 API 服务无法正常使用。对于此次故障给您带来的不便与困扰，我们深表歉意。我们已第一时间启动针对服务稳定性的全面排查和彻底整改，全面梳理并剥离单点依赖，坚决杜绝同类问题再次发生。 作为补偿，我们将按您账号 7 日内（10.8-10.14）的消耗金额以赠金形式全额返还，赠金自动到账，API 计费扣款先从赠金账户扣除。此次故障对您造成了影响，我们再次致歉，感谢您一直以来的信任与支持。

hot reloadable, networked plugins have landed in pi-mobile. everything is a plugin now. if that sounds familiar, then yes, dsh and opencode also went that way. but ours are networked and multi-user/multi-surface aware, actually hot reload correctly, and participate in durabilitz :D

Congrats to the Claude Code team on shipping Mods! A cute way to make your agent harness extensible and customizable. It's a nice convergence of ideas: in Claude Code, mods are just plugins; and @DeepSeekHarness has been built around rethinking the concept of plugins from the very beginning. While a subset of Claude Code features are made available as mods, in @DeepSeekHarness everything is a plugin: models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended. In @DeepSeekHarness's Creator Mode, you can prompt the agent to inspect the live runtime, write plugins, and persist them, in order to change the UI, modify agent-loop behavior and mechanisms, and add tools or new ways of orchestration — simply everything about the agent harness can be modified on the fly and persisted. So we've been thinking about the term for a while… Or should it be now? 😂

🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6

Thank you! Pi is many DeepSeek researchers and developers favorite daily drive. DSH reused Pi's LLM adaptor package for connecting to non-DeepSeek models and it was a great experience that just work. Excited to join the global Open Source agent harness community!

🧩 DeepSeek Harness v0.1 is now available in Developer Preview! 🔹 We’re opening it up to developers building agent harnesses worldwide and open-sourcing the codebase in MIT license. 🔹 Powered by the Cordis meta-framework, DeepSeek Harness is an agent harness built around one core idea: Everything is a plugin. Models, tools, skills, sessions, sandboxes, filesystems, loops, orchestration, and UI are ALL implemented as plugins, and can be mixed, matched, replaced, and extended. Try it now!

DeepSeek Harness was just released with MIT license. The current 0.1.0 version is a developer preview, and may still have many rough edges. Feedback is welcome! DeepSeek Harness 已经以MIT协议开源发布。现在的0.1.0版本是一个面向Harness开发者的预览版，还很不完善。恳请大家多提提宝贵意见。

🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta! 🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇 🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex! Check out the configuration details in our official API docs:

💎 "My heart is not a stone; it cannot be turned." 💎 Maybe in another timeline 🕰️🌌, DeepSeek doesn’t exist 🐳, there’s no explosion of open-source models 📂🔓, and no API services that simply chase reasonable profit ⚖️💵. But anyway… I’m just endlessly grateful that in *this* timeline, I can pour my youngest, most alive years into a dream of AGI for everyone 🌍🤖✨. That alone is the greatest happiness of my life. I ask for nothing more. 🫶 It still feels surreal 🤯, like Eren Yeager on a summer afternoon, napping under the shade of a tree 🌳☀️😴💤, dreaming a dream that spanned two thousand years ⏳💭. This world is full of utilitarianism dressed up as dreams 🎭, but we have to trust the power of trust ✨🙏. After all… 我心匪石，不可转也 ——《诗经·邶风·柏舟》， 💎 My heart is not a stone; it cannot be turned. 💎❤️ #DeepSeek# #AGIForEveryone# #OpenSource#