Kimi Developers
@KimiDevs
The official Kimi account for developers building with Kimi Code and the Kimi API.
4 Following 69.7K Followers
Meet Kimi Code Desktop
Drop it into any dev workflow and get faster, more reliable results — programming tasks done in record time. Manage multiple agents in one focused space, run tasks in parallel, and stay in sync with your agents even on long-horizon work.
Now available on MacOS & Windows.
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What does it take to move a frontier model from release to production?
Join @Kimi_Moonshot and @nebiustf for a technical look at Kimi K3’s architecture, deployment, inference optimization and lessons learned, plus live Q&A.
Aug 12
9am PT / 12pm ET / 6pm CET
With speakers @demian_ai, @hanrui_w, @sujee_dev, Feihu Tang and Samir Khaki.
Register here:
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Join the Kimi Ambassador Program👉
It takes a crew to land a moonshot. Join the Kimi Ambassador Program.
Anyone who's turned an untested idea into reality knows: moonshots are never a solo mission. It takes a crew.
The Kimi Global Ambassador Program finds likeminded individuals on the same path, bringing the crew together. We hope that you:
🌙 Are influential in your own community, whether it be in tech, entrepreneurship, content creation, or on campus
🌙 Have implemented Kimi K3 into products, agents, workflows, teams, and communities
🌙 Are willing to share your experiences and passions to a broader community
Apply here:
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Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights:
Tech report:
Tech blog:
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Kimi K3 (open weights, coming soon)
Kimi Code Changelog 0.29.2 --- Bug Fixes
🌟Fix goal pursuit pausing when a goal turn hits the per-turn step limit (loop_control.max_steps_per_turn).
🌟Fix messages sent during goal pursuit being rejected.
🌟Fix /undo to restore conversation history, todo lists, plan mode, and task notifications consistently.
💡web: Fix copying selected chat text over plain HTTP overwriting the clipboard with an event placeholder.
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Agent workloads bring long contexts, bursty traffic, and frequent tool calls, creating new demands for AI serving.
Together with @AMD , we rebuilt the stack for Kimi K2.6 on AMD Instinct™ MI355X, with scheduler-aware multi-tier KV caching.
Up to 3.2× smaller p99 TTFT and 7.7% higher total-token throughput, with no accuracy tax.
Happy to see more Kimi running on AMD chips!
Tech blog:
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Kimi Code, our open-source coding agent, just got a major upgrade!
🔹One-line CLI install, zero setup, fast startup
🔹Drag in videos as coding context: reference-to-LUT, long-video-to-short, screen-recording-to-code, and more
🔹Plugins for stocks, financial reports, academic papers, with more coming
🔹Supports the ACP protocol, and works with JetBrains, Zed, and more
🔹Hooks for custom tools and workflows
Try it with Kimi K2.6 👉
Issues, plugin ideas, and PRs welcome! Community feedback helps shape what ships next.🚀
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