Cline (@cline) header
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The open source coding agent that takes over your editor, terminal, and browser to complete work autonomously. npm i -g cline

Desktop,VSCode, JetBrains, CLI
Joined January 2025
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Introducing Cline Desktop - a native interface for working with open weights models. Use with ClinePass and all our free models like DeepSeek-V4.1-Flash, Musespark-1.3, or BYOK with any provider!
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We nearly doubled throughput for Nemotron 3.5 Super VL on a single GB300 GPU, from 6,058 → 11,840 tok/s, with five configuration changes in vLLM. These let the model draft tokens ahead, keep the GPU from ever sitting idle, and store the model’s memory at half precision.
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Gemini 4 Carbon is the first model to surpass Claude and GPT, and beats Opus 5.5 on nearly every benchmark at half the cost. That’s an 18% improvement in only 2 weeks since Argon.
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We teamed up with @composio and @p0 for a hackathon! Teams had 3.5 hours to turn their personal agent ideas into working projects using Cline, and the results were incredible 🔥 Here's a recap of the event:
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New in Cline Desktop v0.0.49 🧵 1) Install and manage local models through Ollama or LM Studio. Cline checks your hardware and recommends the best local models available. Try via Settings → Provider → Local
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5) See what Cline changed in the last turn, review your git changes, or open any file in your project, all without leaving the chat.
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Kimi K3.1 Pro nearly matches Opus 5.5 performance on Terminal-Bench 4.0 at *half* the cost. Moonshot also removed cyber data from mid-training and RL to deliberately reduce performance on exploit tasks by ~10%, while everything else, including coding, kept improving.
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lil 404 game
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webite footer for cline.bot
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There’s new free models available in Cline: - Reflection Beam (501B) - Nemotron 3.5 Super VL (120B) - Poolside Laguna S 2.1 (118B) - Nemotron 3.5 Lightning (32B) - Solar Mini 4 (35B) 6 months ago these Terminal-Bench scores were frontier, open weights makes this more accessible.
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154 DAYS LATER....I Finally Dropped a New YouTube Video🙈 A little late to the party on X, but I just HAD to share this here because I'm so overwhelmed!! This time, I tested the new @deepseek_ai V4.1 Flash 1017 and used it to build a fully interactive 3D city with @cline. After being away from YouTube for so long, it feels so good to finally be back!! 🥹 Full video below ↓
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We’re about to see a breakout in local model capabilities. Flint scores 54.9% on Terminal-Bench 2.1 with ~2B active parameters. That’s ahead of every other small MoE and two of the three dense ~30B models. It only needs about 24GB and runs at 125+ tok/s on a MacBook Pro.
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