remember
Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.
- Installs
- 235
- Last 24h
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/langchain-ai/deepagents --skill remember- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads remember automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Review our conversation and capture valuable knowledge. Focus especially on best practices we discussed or discovered—these are the most important things to preserve.
Step 1: Identify Best Practices and Key Learnings
Scan the conversation for:
Best Practices (highest priority)
- Patterns that worked well - approaches, techniques, or solutions we found effective
- Anti-patterns to avoid - mistakes, gotchas, or approaches that caused problems
- Quality standards - criteria we established for good code, documentation, or processes
- Decision rationale - why we chose one approach over another
Other Valuable Knowledge
- Coding conventions and style preferences
- Project architecture decisions
- Workflows and processes we developed
- Tools, libraries, or techniques worth remembering
- Feedback I gave about your behavior or outputs
Step 2: Decide Where to Store Each Learning
For each best practice or learning, choose the right destination:
-> Memory (AGENTS.md) for preferences and guidelines
Use memory when the knowledge is:
- A preference or guideline (not a multi-step process)
- Something to always keep in mind
- A simple rule or pattern
Global ($DEEPAGENTS_HOME/agent/AGENTS.md): Universal preferences across all projects
Project (.deepagents/AGENTS.md): Project-specific conventions and decisions
-> Skill for reusable workflows and methodologies
Create a skill when we developed:
- A multi-step process worth reusing
- A methodology for a specific type of task
- A workflow with best practices baked in
- A procedure that should be followed consistently
Skills are more powerful than memory entries because they can encode how to do something well, not just what to remember.
Step 3: Create Skills for Significant Best Practices
If we established best practices around a workflow or process, capture them in a skill.
Example: If we discussed best practices for code review, create a code-review skill that encodes those practices into a reusable workflow.
Skill Location
$DEEPAGENTS_HOME/agent/skills/<skill-name>/SKILL.md
Skill Structure
skill-name/
├── SKILL.md (required - main instructions with best practices)
├── scripts/ (optional - executable code)
├── references/ (optional - detailed documentation)
└── assets/ (optional - templates, examples)
SKILL.md Format
---
name: skill-name
description: "What this skill does AND when to use it. Include triggers like 'when the user asks to X' or 'when working with Y'. This description determines when the skill activates."
---
# Skill Name
## Overview
Brief explanation of what this skill accomplishes.
## Best Practices
Capture the key best practices upfront:
- Best practice 1: explanation
- Best practice 2: explanation
## Process
Step-by-step instructions (imperative form):
1. First, do X
2. Then, do Y
3. Finally, do Z
## Common Pitfalls
- Pitfall to avoid and why
- Another anti-pattern we discovered
Key Principles
- Encode best practices prominently - Put them near the top so they guide the entire workflow
- Concise is key - Only include non-obvious knowledge. Every paragraph should justify its token cost.
- Clear triggers - The description determines when the skill activates. Be specific.
- Imperative form - Write as commands: "Create a file" not "You should create a file"
- Include anti-patterns - What NOT to do is often as valuable as what to do
Step 4: Update Memory for Simpler Learnings
For preferences, guidelines, and simple rules that don't warrant a full skill:
## Best Practices
- When doing X, always Y because Z
- Avoid A because it leads to B
Use edit_file to update existing files or write_file to create new ones.
Step 5: Summarize Changes
List what you captured and where you stored it:
- Skills created (with key best practices encoded)
- Memory entries added (with location)
FAQ
What does the remember skill do?
Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.
How do I install remember?
Run npx skills add https://github.com/langchain-ai/deepagents --skill remember in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/remember/ (personal) or .claude/skills/remember/ (project).
Which AI agents can use remember?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is remember safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains remember?
It is published by langchain-ai in langchain-ai/deepagents, and it is an official skill from the maker of the technology it covers. It has 235 recorded installs.
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