squeez vs gortex
squeez: squeez is an end-to-end token optimizer for AI CLIs that compresses bash output up to 95%, collapses redundant calls, and injects a terse prompt persona. It registers hooks automatically with zero new runtime dependencies, supporting multiple AI CLI hosts like Claude Code, GitHub Copilot CLI, OpenCode, Gemini CLI, and Codex CLI.; gortex: Gortex is a code intelligence engine that builds an in-memory knowledge graph of repositories. It provides CLI, MCP Server, and web UI for querying symbols, dependencies, and impact analysis. Designed for AI coding agents, it cuts token usage by ~94% by replacing multiple file reads with a single smart_context call.
TL;DR
Reduce token costs for AI CLI interactions, saving up to 92% on monthly API bills.
- You work across several repositories and want cross-repo symbol resolution in one graph.
- You want a wide set of analysis tools: the README lists blast radius, dead code, hotspots, rename and test-coverage gaps among its 49 MCP tools.
- You want a CLI, an MCP server and a web UI over the same graph, covering 92 languages.
- You need clear licence terms today: GitHub does not detect a licence, so confirm the terms before using it at work.
- You are on Windows: the README lists Windows support as planned.
- You want a small tool surface; the README is very long and the tool set is large.
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