File-based knowledge persistence patterns: when to store discoveries, when to recall past solutions, and how to organize project memory. Activate when starting tasks, encountering errors, making decisions, or when context may be lost between sessions.
Quickly install memory-protocol AI skill to your development environment via command line
Source: jwilger/agent-skills.
Value: Feedback -- accumulated knowledge creates compound feedback loops across sessions. What you learn today should accelerate tomorrow's work.
Teaches the agent to systematically store and recall project knowledge using file-based persistent memory. Solves the problem of context loss between sessions, repeated debugging of known issues, and rediscovery of established conventions.
Before starting any non-trivial task, search memory for relevant past work. Before debugging any error, search for that error message. Before making design decisions, search for past decisions on the same topic.
File-based knowledge persistence patterns: when to store discoveries, when to recall past solutions, and how to organize project memory. Activate when starting tasks, encountering errors, making decisions, or when context may be lost between sessions. Source: jwilger/agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/jwilger/agent-skills --skill memory-protocolFile-based knowledge persistence patterns: when to store discoveries, when to recall past solutions, and how to organize project memory. Activate when starting tasks, encountering errors, making decisions, or when context may be lost between sessions. Source: jwilger/agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/jwilger/agent-skills --skill memory-protocol Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/jwilger/agent-skills