agent-recall

Capture corrections and retrieve project context across AI agent sessions.

364|57|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/Goldentrii/AgentRecall-X --skill agent-recall
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-recall
Source: https://github.com/Goldentrii/AgentRecall-X/tree/main
Command: npx skills add https://github.com/Goldentrii/AgentRecall-X --skill agent-recall

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill prevents AI agents from repeatedly making the same mistakes by capturing corrections, preserving project context across sessions, and measuring whether remembered guidance actually changes future behavior.

Core Features & Use Cases

  • Session Continuity: Load relevant project context at the beginning of a session and save summaries, decisions, and insights at the end.
  • Correction Tracking: Record behavioral corrections with searchable context, severity, evidence, and outcome metrics.
  • Memory Retrieval and Compounding: Search prior journals, insights, and project knowledge, then consolidate recurring lessons into reusable guidance.
  • Use Case: When an agent is corrected about an implementation convention, save the correction immediately and surface it in future sessions before related work begins.

Quick Start

Use the AgentRecall skill to load the current project context, recall relevant prior guidance during work, and save a meaningful session summary before finishing.

Frequently Asked Questions about agent-recall

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

FAQPage Schema
How do I stop my AI agent from repeating the same coding mistakes across sessions?

To stop AI agents from repeating coding mistakes, you need session continuity and correction tracking. This skill captures behavioral corrections with searchable context and surfaces them in future sessions before related work begins.

How does agent memory retrieval work for Claude Code and CLI workflows?

Agent memory retrieval works by loading relevant project context at the start of a session and searching prior journals and insights. It consolidates recurring lessons into reusable behavioral guidance for Claude Code and CLI workflows.

Can I use this agent memory skill with Cursor and MCP clients?

Yes, this agent memory skill applies to Cursor, MCP clients, Codex, and SDK integrations. It requires lifecycle-aware session handling to preserve project context and track correction outcomes across these development environments.

What is the best way to track behavioral corrections in software development sessions?

The best way to track behavioral corrections is recording them with severity, evidence, and outcome metrics. This skill measures whether remembered guidance actually changes future behavior, ensuring corrections compound into reusable insights.

When do I need session continuity for local agent memory storage?

You need session continuity when working across multiple development sessions requiring continuity. It preserves project context locally, captures decisions at the end of a session, and retrieves searchable journals to prevent repeating corrected mistakes.