Cut AI token costs 95%+ with precise, symbol-level GitHub code retrieval via tree-sitter AST for MCP clients
Ultra-compressed Japanese communication for AI coding agents like Claude Code - caveman speak optimized for Japanese
Cut token usage by 90% so Claude can focus on your actual code
Cut Claude Code & Codex token costs by ~50% with local prompt compression
AST-based semantic code search that saves 70% tokens for coding agents
Claude Code skill that cuts 75% of tokens by speaking caveman.
Context compression layer for AI agents β 60-95% fewer tokens, same answers
Find ghost tokens, survive compaction, and stop your AI from getting dumber mid-session.
Local knowledge graph for Claude Code β 6.8Γ fewer tokens on reviews, up to 49Γ on daily tasks.
CLI proxy that cuts LLM token usage by 60-90% for AI coding agents