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An OpenCode plugin that reduces token usage by up to 45% with zero configuration. It compresses tool descriptions, compacts read output, and adds line-range edit support.

25
0
100% credibility
Found Feb 18, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

OpenSlimedit is a plugin for the OpenCode AI coding tool that optimizes interactions with AI models to reduce usage costs by up to 45% through streamlined descriptions, compact outputs, and line-range support for edits.

How It Works

1
🕵️ Discover OpenSlimedit

While using your AI coding helper to edit projects, you stumble upon this add-on that promises to make your sessions much cheaper and more efficient.

2
📖 See the savings

You check out simple charts and stories showing real savings of 20-45% on AI usage for different editing tasks, big or small.

3
Turn it on easily

You add one short line mentioning its name in your helper's easy preferences, no hassle needed.

4
🔄 Restart and go

You close and reopen your AI coding helper, and the add-on starts working quietly in the background.

5
✏️ Edit with savings

As you make changes to your code files, it smartly shortens instructions and uses handy shortcuts for the AI.

💰 Enjoy the wins

Your AI helper now uses way less resources per edit, saving you money and time on every project.

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Star Growth

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AI-Generated Review

What is openslimedit?

OpenSlimedit is a TypeScript-based OpenCode AI plugin that slashes token usage in AI coding sessions by up to 45% without any setup. It streamlines tool descriptions, trims bloated read outputs to relative paths, and lets models reference line ranges like "55-64" for edits instead of pasting full code snippets. Developers get leaner API calls across OpenCode GitHub integrations, from Copilot-like models to enterprise setups.

Why is it gaining traction?

It beats alternatives like hashline approaches, which often inflate tokens due to extra overhead, delivering consistent 20-45% savings on models like GPT 5.3 Codex and Claude Sonnet. Zero-config install via opencode.jsonc hooks users instantly—no API keys or custom prompts needed. Benchmarks across edit tasks and large files prove real cost cuts for OpenCode plugins in GitHub Actions or issues workflows.

Who should use this?

AI-assisted coders on OpenCode handling multi-file edits or large repos, especially those burning through tokens on Claude Opus, GPT Codex, or Minimax models. Teams using OpenCode GitHub Copilot enterprise or SST integrations will notice faster, cheaper sessions. Vim users or plugin marketplace browsers seeking opencode plugin antigravity efficiency without config tweaks.

Verdict

Grab it if you're on OpenCode—solid benchmarks and dead-simple setup make the 45% savings worth it despite 18 stars and 1.0% credibility score signaling early maturity. Docs are thorough with raw data, but watch for edge cases in production until more adoption hits.

(198 words)

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