200KB Six-Phase Agent for Qwen3.5
๐กTiny 200KB agent makes Qwen3.5 self-improving via git memory โ ideal for local devs
โก 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.
Key Points
- โขUltra-compact size at 200KB for easy deployment
- โขSix-phase loop enables self-improving cognition
- โขUses local llama-server LLM and git for memory persistence
- โขTailored for tool-using with Qwen3.5-35B-A3B
๐ง Deep Insight
Background and context from public sources โ not the original article. 7 sources cited.
๐ Enhanced Key Takeaways
- โขQwen3.5-35B-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].
- โขThe model supports a native context length of 262,144 tokens and multimodal inputs including text, image, and video[1][2].
- โขReleased 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].
๐ฎ Future ImplicationsAI analysis grounded in cited sources
โณ Timeline
๐ Sources (7)
Factual claims are grounded in the sources below. Forward-looking analysis is AI-generated interpretation.
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Original source: Reddit r/LocalLLaMA โ
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