ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes
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Updated
Sep 3, 2026 - Python
ZipTok3D: High-Fidelity 3D Tokenization with Compact Token Prefixes
[ECCV 2026] 3DZip: Spatial-Aware Feature Diversity-Guided Token Compression for 3D Question Answering
Live terminal observability dashboard for Headroom token compression
Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning
Ork z kopalni. Mówi mało. Wie dużo. Pomaga.
Self-hosted AI workspace that compresses prompts before they leave your machine — 79% fewer tokens, measured. Drop-in gateway for Claude Code, Cursor, Aider and any OpenAI/Anthropic client, plus an MCP server. Free, MIT, zero telemetry.
Your Smithers (butler) for MCP token efficiency. Compression proxy that saves tokens on tool results, tool schemas, and server instructions — sits between any AI coding tool (Claude Code, Cursor, Codex, Windsurf, Cline) and your MCP servers. Up to 60% savings depending on content. Zero config. Works with any MCP server.
Developer-first AI compression layer for reducing LLM verbosity, improving readability, and lowering token costs.
wenyan 是面向 DeepSeek/Qwen/GLM 编码 Agent 的 per-tokenizer 中文 prompt-compression Skill
tok is an invisible bridge
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