supermemoryai

Persistent memory for OpenAI Codex CLI — powered by Supermemory

18
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100% credibility
Found May 02, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This repository provides a plugin for OpenAI Codex CLI that integrates persistent memory via Supermemory.ai, automatically capturing conversations and recalling relevant context into prompts.

How It Works

1
💡 Discover memory for your coding buddy

You learn about a simple add-on that lets your AI coding assistant remember chats, projects, and tips across sessions instead of forgetting everything.

2
🔗 Connect to memory service

Visit the memory service site to sign up and prepare your special access pass.

3
🛠️ Install with one easy command

Type a quick install command, and it automatically sets up everything in your coding helper's home.

4
🚀 Restart and memory activates

Restart your coding assistant, and now it has a brain that remembers without you lifting a finger.

5
🌐 Link accounts on first use

Your first chat opens a browser window once to securely connect everything.

6
🧠 Get smart, relevant reminders

Every question you ask now includes helpful past memories, making answers spot-on for your projects.

7
💾 Chats save automatically

Sessions end by storing key details safely, ready for your next coding adventure.

🎉 Coding feels personal and smart

Your assistant builds a lasting knowledge of your style, stack, and lessons, speeding up every project.

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AI-Generated Review

What is codex-supermemory?

Codex-supermemory adds persistent memory to OpenAI's Codex CLI using Supermemory as the backend storage. Codex resets context each session, forcing you to repeat your stack, prefs, and decisions—this injects relevant past conversations automatically into prompts and saves new ones at session end, all scoped per project and user via CLI hooks. Built in TypeScript, it offers zero-config install with `npx codex-supermemory install`, plus skills like search-memory and save-memory.

Why is it gaining traction?

Automatic recall on prompts and capture on stop beats manual context pasting, with privacy redaction for `` tags and tolerance for Supermemory outages. Fast, pre-bundled hooks ensure no runtime deps or session breaks, while config tweaks similarity thresholds and memory limits. It delivers github persistent storage for codex supermemory without the ram vs persistent memory overhead.

Who should use this?

Codex CLI users juggling multiple repos, like full-stack devs enforcing project-specific patterns or teams sharing agent knowledge. Ideal for persistent memory programming in CLI workflows, avoiding re-explaining setups in every session.

Verdict

Grab it if Codex feels amnesiac—solid user-facing CLI commands and docs make setup painless. At 14 stars and 1.0% credibility, it's early but MIT-licensed and failure-safe; test on non-critical projects first.

(178 words)

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