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Agents, and groundwork for LLMs

What it takes to actually use a model: one door to every provider (almai), an agent runtime written in Almide (homullus) with a hand that works a Mac (manus), a CLI that reaches many models through one mouth (llmine), and the model itself written in pure Almide and run as WASM (bonsai-almide).

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LLM groundwork Almide

bonsai-almide

almide/bonsai-almide

37
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Apr 2026
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UpdatedNov 2026

  • Almide
  • JavaScript
  • HTML
O6lvl4「bonsai-almide」

bonsai-almide

Browser chat demo running the Bonsai 1-bit LLM compiled to WASM through the Almide language

What it does

  • Qwen3 chat template with KV cache streaming
  • Sampling: temperature, top-k, repetition penalty
  • 32 KB WASM; 248 MB model cached in IndexedDB

Work

5 / 5