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Demo the lossless codec (compress): 79%/88% fewer, lossless, fact kept — replaces the shrink-allocator demo

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  1. README.md +11 -8
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  ---
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  title: Foveance
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- emoji:
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  colorFrom: indigo
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- colorTo: yellow
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  sdk: gradio
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  app_file: app.py
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  pinned: true
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  license: apache-2.0
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- short_description: Shrink your LLM context 60%+ at the same accuracy
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  ---
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- # Foveance — shrink your LLM context, live
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- Interactive demo of [Foveance](https://github.com/aimaghsoodi/foveance): cut your LLM token bill
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- 60%+ without changing your code or your answers. Paste a conversation, pick a budget, and watch it
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- compress. Runs offline no API key.
 
 
 
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- `pip install foveance`
 
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  ---
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  title: Foveance
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+ emoji: 🗜
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  colorFrom: indigo
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+ colorTo: green
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  sdk: gradio
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  app_file: app.py
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  pinned: true
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  license: apache-2.0
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+ short_description: Lossless token codec for LLM context, up to 82% fewer
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  ---
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+ # Foveance — a lossless token codec for LLM context, live
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+ Interactive demo of [Foveance](https://github.com/aimaghsoodi/foveance): cut LLM input tokens up to
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+ **82% losslessly**. Agent context is full of repetition (the same listings, tool outputs and stack
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+ traces on every turn); like `gzip` finds repeated bytes, Foveance finds text that already appeared
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+ and replaces it with a compact back-reference, removing tokens without removing information. Nothing
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+ is summarised or dropped — every fact survives (`unpack(pack(x)) == x`). Paste a `messages` list and
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+ watch it compress. Runs offline — no API key, no model call.
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+ `pip install foveance` · `foveance wrap --codec --agentic-codec claude`