200KB Six-Phase Agent for Qwen3.5

💡Tiny 200KB agent makes Qwen3.5 self-improving via git memory – ideal for local devs

⚡ 30-Second TL;DR

What Changed

Ultra-compact size at 200KB for easy deployment

Why It Matters

Democratizes advanced agentic workflows for local setups, lowering barriers for experimentation.

What To Do Next

Clone the repo and run the agent locally with llama-server and Qwen3.5-35B-A3B.

Who should care:Developers & AI Engineers

Web-grounded analysis with 7 cited sources.

•Qwen3.5-35B-A3B employs a hybrid architecture with Gated Delta Networks and sparse Mixture-of-Experts (256 experts, 8 routed + 1 shared active) for efficient inference[1][2].
•The model supports a native context length of 262,144 tokens and multimodal inputs including text, image, and video[1][2].
•Released on February 24, 2026, as part of the Qwen3.5 series by Alibaba's Qwen team, with rapid community adoption via GGUF quantizations and local deployment tools like Ollama and Unsloth[2][6][7].

MoE architectures like A3B will dominate local agent deployments by reducing compute needs 6x.

Qwen3.5-35B-A3B outperforms models over 6x its activated size through efficient hybrid design and RL scaling[1].

Vision-language agents will standardize on 256k+ context windows.

Qwen3.5 series natively supports 262k tokens with early fusion multimodal training for superior reasoning[1][2].

2026-02

Qwen3.5 series released including 35B-A3B model

Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.

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