Nagendhra-web

Nagendhra-web / memory-bank

Public

Persistent memory for Claude Code, 3-5x longer sessions, zero wasted tokens

19
4
100% credibility
Found Apr 10, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Memory Bank is a skill for AI coding assistants like Claude Code that creates persistent project memory across sessions to eliminate re-explanations and extend session lengths significantly.

How It Works

1
😩 Forgetting Frustrations

Your AI coding buddy forgets your entire project every new chat, forcing you to re-explain everything and wasting precious time.

2
🔍 Discover Memory Bank

You learn about Memory Bank, the helpful tool that lets your AI remember your project forever across all chats.

3
🧰 Add It Easily

You quickly add Memory Bank to your AI helper's toolkit with a simple step.

4
📝 Set Up the Reminder

You add a short friendly note to your project guide, telling your AI to check memory at the start and save it at the end of each chat.

5
🚀 First Chat Builds Memory

During your first session, your AI learns your project deeply and everything feels smooth and connected.

6
💾 Save the Day's Work

When you're done, just say 'wrap up' and your AI neatly saves all the project details for next time.

7
⚡ Instant Recall Next Time

Open a new chat and your AI greets you exactly where you left off, jumping straight into productive work without any re-explaining.

🎉 Supercharged Sessions

Now your chats last 3-5 times longer, you save tons of time and costs, and working with your AI feels effortless and fun.

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AI-Generated Review

What is memory-bank?

memory-bank delivers persistent memory for Claude Code sessions via github memory bank files, slashing re-explanation overhead and extending chats 3-5x by auto-saving project state, decisions, and git diffs into compact MEMORY.md. Install with `npx skills add Nagendhra-web/memory-bank`, drop a snippet in CLAUDE.md, and use triggers like "wrap up" or "pick up where we left off" for instant context. It's pure Markdown skills—no runtime deps—solving Claude's amnesia and token waste on every restart.

Why is it gaining traction?

It crushes alternatives with 60-80% token savings through progressive loading, smart compression, and branch-aware overlays, plus session continuation for mid-task handoffs without context crashes. Devs hook on memory health scores, git conflict detection, and velocity tracking—features like handoff docs and recovery mode make cline memory bank github or memory bank cursor setups feel primitive. Zero fluff: real metrics show 12k-26k tokens saved over 10 sessions.

Who should use this?

Solo fullstack devs grinding Next.js apps across branches, backend teams on Go APIs needing onboarding docs, or Claude Code powerusers hitting limits on monorepos. Ideal for memory bank github copilot hybrids or cursor memory bank rules github tweaks, but skip if you're not deep in AI-assisted coding marathons.

Verdict

Solid concept with killer docs for Claude diehards—test it for token wins on pet projects. But 19 stars and 1.0% credibility scream early days; maturity lags on tests and broad adoption, so prototype before production.

(187 words)

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