Adityapal67

Adityapal67 / context-graph-compressor

Public

Convert long AI conversations into portable conversation state graphs for LLM handoffs.

age agent ai chatgpt claude-ai
14
4
85% credibility
Found May 31, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This is a productivity tool that helps you save money and continue conversations with AI assistants. When you've been chatting with an AI for a long time, you can ask it to compress everything into a tiny summary. Then, instead of paying for all those old messages again, you just paste that summary into a fresh conversation and keep working. The summary includes all the important details—like what you're building, problems you've solved, and decisions you've made—so the new AI understands your project right away. It works with any AI service, not just one specific one.

How It Works

1
💬 You've been chatting with an AI for a while

You've been working on a project with Claude, asking questions and getting help over many back-and-forth messages.

2
😰 The conversation is getting unwieldy

Your chat history is getting long and you're worried about costs or losing track of what you've discussed.

3
🗜️ You ask to compress the chat

You simply say 'compress this chat' and the tool instantly creates a tiny summary of everything you've discussed.

4
📋 You get a neat summary to copy

The tool gives you a compact overview with all the important facts, decisions, and problems from your conversation.

5
✨ You start a fresh conversation

You open a new chat window, ready to continue working without the clutter of your old messages.

6
📎 You paste the summary and say 'continue'

You paste your compressed summary and tell the new chat to pick up where you left off.

🎉 Your new AI knows everything

The new conversation continues seamlessly, with the AI understanding your project, your goals, and what you've already figured out.

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AI-Generated Review

What is context-graph-compressor?

A Claude skill that turns lengthy chat histories into compact, portable JSON graphs. Instead of re-sending 15,000 tokens when your conversation gets long, you compress it once into roughly 400 tokens and paste that into a new session. The output includes structured nodes (facts, decisions, problems, goals) with importance rankings and relationship tracking, so any LLM can parse it and continue exactly where you left off.

Why is it gaining traction?

Context window limits hit every developer working on complex projects. Claude's built-in compaction locks you into the same conversation, while other handoff tools output markdown bullets that lose structure and importance. This tool treats context as data with a machine-readable JSON graph and importance tagging, letting you move between LLMs while keeping relationships and priorities intact. The token savings are substantial.

Who should use this?

Developers managing long AI-assisted projects across multiple sessions will get the most value. It's useful when debugging multi-turn issues, iterating on features incrementally, or handing off work mid-project. Researchers comparing outputs across different LLMs can use the same compressed context on multiple models. If you regularly lose context when starting fresh chats, this solves that problem.

Verdict

The concept is genuinely useful and the execution addresses real pain points. The credibility score of 0.85% combined with only 14 stars indicates early-stage maturity with limited community validation. Test it on a non-critical project before trusting it for production work. Worth trying if context limits are slowing you down.

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