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GlyphCompress — Semantic Token Compression

GlyphCompress — Semantic Token Compression

Neolambo

|
5 installs
| (0) | Free
Compress IDE↔LLM communication using semantic radicals, with a Context Router and team-shared dictionaries. Supports OpenAI, Claude, Gemini, and Antigravity.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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More Info

GlyphCompress — Semantic Token Compression

Compress the context your IDE sends to an LLM — file contents, diagnostics, chat history, diffs — using a compositional glyph system, so you spend fewer tokens per request without losing the information the model needs to help you.

A shared codebook is injected once into the system prompt so the model can decode the compressed glyphs back into full concepts. Compression is calibrated against real provider tokenizers (OpenAI's cl100k_base/o200k_base) rather than character-count heuristics, so reported savings are real, measured token reductions — not guesses.

What this extension does

  • Compress Selection: compress the currently selected text/code and copy the result to your clipboard.
  • Ask LLM (Auto-Compress): automatically compress context before it reaches VS Code's built-in Language Model API (Copilot Chat and compatible extensions), with zero manual steps.
  • Zero-Command Transparent Proxy: a local proxy that sits between your IDE (Cursor, Continue, Cline, and other OpenAI/Anthropic/Gemini-compatible tools) and the real provider API, compressing every request automatically. Point your IDE's API base URL at http://localhost:8080 and nothing else changes.
  • Build Project Codebook: scan your workspace to rank files by relevance to a task and build a persistent index used by the Context Router.
  • Compress Entire Workspace: batch-compress every open/relevant file at once.
  • Show Compression Stats / status bar: live token-savings numbers for your current session.

Providers and trust policies

Works with OpenAI, Anthropic Claude, Gemini, and Antigravity — each has its own compression profile, calibrated separately since tokenizers behave differently across providers.

Trust policies control what compression is allowed to do to your data:

Policy Reversible What it allows
lossless Yes No lossy transforms at all
reversible Yes Prompt patterns, tech names, file paths, diagnostics, dynamic dictionary
privacy Yes Everything in reversible, plus redaction of API keys, tokens, emails, and IPs before compression
lossy No Everything, including code minification, structural summaries, and redundancy stripping

When a level/policy combination allows something irreversible (like ultra-level code summarization), the extension surfaces a plain-language trust warning in its output channel — derived directly from what that policy actually permits, not a guess about how the model will behave.

Settings

Setting Default Purpose
glyphCompress.enabled true Enable/disable compression
glyphCompress.provider auto auto, raw, openai, anthropic, antigravity, gemini, local
glyphCompress.compressionLevel standard light, standard, aggressive, ultra, auto (auto picks per request)
glyphCompress.trustPolicy auto lossless, reversible, privacy, lossy
glyphCompress.targetApiUrl https://api.openai.com Upstream API the proxy forwards to
glyphCompress.showStatusBar true Show live compression stats in the status bar
glyphCompress.experimentalDecay false Progressively compact older chat history for long-running conversations
glyphCompress.holographicFolding false Group overlapping related files and shared imports into layered blocks
glyphCompress.intentDiffs false Condense verbose diffs into short, declarative change-action lines

Also available as

  • CLI: npx glyph-compress <file> — same engine, usable outside VS Code, plus route/team-codebook/inspect/doctor commands.
  • MCP server: npx glyph-compress-mcp — use GlyphCompress from Claude Code, Claude Desktop, or any other MCP-compatible client.
  • Library: npm install glyph-compress for direct GlyphCompressor/wrapOpenAI/wrapAnthropic usage in your own code.

Links

  • Full documentation, benchmarks, and architecture
  • Roadmap
  • Security · Privacy · Enterprise
  • Report an issue

Dual-licensed: AGPL-3.0 for open-source use, commercial license available for proprietary use.

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