sliday

sliday / tamp

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Token compression proxy for Claude Code. 50% fewer tokens, zero behavior change.

38
1
100% credibility
Found Mar 28, 2026 at 38 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Tamp is a background helper that automatically shrinks repetitive data in messages to AI coding tools, cutting costs and speeding up responses.

How It Works

1
🔍 Discover Tamp

You hear about Tamp, a helper that shrinks bulky data sent to your AI coding buddy to save time and money.

2
📥 Run quick setup

Copy-paste one simple command into your terminal, and it grabs everything you need in seconds.

3
⚙️ Restart and launch

Refresh your terminal, type 'tamp', and your smart saver starts quietly in the background.

4
💬 Chat with AI as usual

Fire up your favorite AI coding tool like Claude or Aider – it works exactly the same, but smarter.

5
📉 See instant savings

Watch colorful logs pop up showing how much data got trimmed on each chat turn.

🎉 Code cheaper & faster

Your AI sessions cost less, run quicker, and handle bigger projects without hitting limits.

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AI-Generated Review

What is tamp?

Tamp is a JavaScript proxy that sits between your coding agents and Anthropic's Claude API, slashing token counts in tool results by up to 50% with zero behavior change. It targets verbose JSON from file reads, CLI outputs, and lockfiles in sessions with Claude Code, Aider, or Cursor—using minification, columnar encoding, and neural pruning via a local LLMLingua sidecar. Set one env var like ANTHROPIC_BASE_URL=localhost:7778, run `tamp`, and watch live compression stats in your terminal.

Why is it gaining traction?

Unlike generic token compression llm tools or Tampermonkey scripts, tamp auto-detects compressible blocks in real API payloads, applies targeted techniques (dedup identical reads, diff similars), and logs per-request savings with token cost estimates. Devs hook it instantly via curl setup.sh, no code changes needed, and benchmarks prove consistent wins on token github api traffic without model drift. It's a drop-in token compression plug for agent workflows, echoing survey-backed techniques like those in recent token compression papers.

Who should use this?

Claude Code power users grinding multi-turn sessions with heavy Read/Bash tool calls, Aider devs debugging large repos, or Cursor teams burning through Anthropic quotas on verbose outputs. Ideal for solo devs or indie teams in Tampa (or Tampa Bay Buccaneers fans) optimizing jwt token compression in production agents without rewriting prompts.

Verdict

Grab it if you're on Claude Code—installs clean, tests solid (smoke/live/bench suites), delivers immediate ROI at $3/Mtok. 38 stars and 1.0% credibility signal early days (light docs), but zero-fluff README and video demo make it low-risk to eval; mature enough for daily drives.

(198 words)

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