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TokenShield – cut your Claude Code bill 40-70%

TokenShield – cut your Claude Code bill 40-70%

by curatedmcp·May 18, 2026·3 points·3 comments
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AI Analysis

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Diff-based file reads and conversation deduplication slash token bills by 40%.

Strengths
  • •Diff-based file reads send unified diffs instead of full file contents on re-reads.
  • •Content-hashing replaces repeated tool results with pointers to save 25–40%.
  • •Local-first architecture ensures API keys never leave the user's machine.
Weaknesses
  • •Requires running a local proxy process alongside your existing terminal workflow.
  • •Savings claims rely on specific 'agentic' workloads that may not match all users.
Target Audience

Developers using Claude Code CLI or API-heavy LLM workflows

Similar To

LiteLLM · LLM Cache

Post Description

A local proxy that dedupes repeated context, caches tool results, summarizes long conversations, and streams a live savings counter. Your ANTHROPIC_API_KEY never leaves your machine.

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