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Remember

OrganizationPopular
langchain-ai
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.

Overview

Publisherlangchain-ai
Repositorydeepagents
Skill nameremember
Stars
29.9K
Forks
4.2K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by langchain-ai on GitHub. Read the source before you install it.

Installation

Install the Remember AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/langchain-ai/deepagents/tree/main/libs/code/deepagents_code/built_in_skills/remember
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/langchain-ai/deepagents.git /tmp/deepagents
mkdir -p .claude/skills
cp -r /tmp/deepagents/libs/code/deepagents_code/built_in_skills/remember .claude/skills/remember
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Remember in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Remember on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Remember is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

markdown
---
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

  1. Encode best practices prominently - Put them near the top so they guide the entire workflow
  2. Concise is key - Only include non-obvious knowledge. Every paragraph should justify its token cost.
  3. Clear triggers - The description determines when the skill activates. Be specific.
  4. Imperative form - Write as commands: "Create a file" not "You should create a file"
  5. 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:

markdown
## 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)

Frequently asked questions

What does the Remember AI 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.

Why use Remember on TypingMind?

Because you install it once and use it with any model. Remember is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Remember in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/langchain-ai/deepagents/tree/main/libs/code/deepagents_code/built_in_skills/remember. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Remember?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Remember?

As many as you like. As long as a model supports skills, you can use Remember with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Remember AI skill free?

Yes. It is published on GitHub by langchain-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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