codex-project-memory

Name: codex-project-memory
Availability: InStock
Author: bang-isme

Track and preserve project knowledge, decisions, and patterns across sessions.

6|1|Updated Feb 16, 2026

Search Tags:#decisions #patterns #memory #handoff #knowledge #session #graph

Ready to run

npx skills add https://github.com/Bang-isme/CodexAI---Skills --skill codex-project-memory

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codex-project-memory
Source: https://github.com/Bang-isme/CodexAI---Skills/tree/main/skills/codex-project-memory
Command: npx skills add https://github.com/Bang-isme/CodexAI---Skills --skill codex-project-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Tracks and preserves project knowledge, decisions, and patterns across sessions so teams avoid losing context and rework.

Core Features & Use Cases

Persistent memory: logs decisions, changelogs, session summaries, and growth signals for long-term project memory.
Handoff and knowledge graphs: generate portable context for teammates or AI agents to maintain continuity.
Pattern learning: aggregate feedback and usage signals to improve memory quality over time.

Quick Start

Activate after completing a complex task to persist decisions, session summaries, and project knowledge for seamless continuity across future work.

Frequently Asked Questions about codex-project-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I preserve project knowledge and decisions across multiple sessions?▼

To preserve project knowledge across multiple sessions, you need a persistent memory system that logs decisions, changelogs, and session summaries. This Skill tracks project patterns and growth signals to maintain continuity and prevent context loss.

What is the best way to generate a context handoff for an AI agent or teammate?▼

Generating a context handoff for an AI agent involves creating portable knowledge graphs from your session history. This Skill aggregates project decisions and summaries into a portable format, ensuring seamless continuity for teammates or agents taking over tasks.

Can I use this project memory tool without adding external dependencies?▼

Yes, you can use this project memory tool without external dependencies. It operates using a local skill directory containing a SKILL.md file with frontmatter, alongside optional scripts and references to drive activation and analysis.

When do I need a knowledge graph for multi-session development?▼

You need a knowledge graph for multi-session development when complex tasks require long-term pattern tracking and context preservation. This mechanism prevents rework by capturing decisions and feedback signals across continuous development cycles.

How does pattern learning work to improve project memory quality over time?▼

Pattern learning improves project memory quality by aggregating feedback and usage signals from your development sessions. This mechanism captures recurring decisions and growth signals, allowing the system to refine context continuity and reduce redundant work.