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Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Skill by agentskillexchange

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/agentskillexchange-add-managed-long-term-memory-to-langgraph-agents-with-langmem

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/add-managed-long-term-memory-to-langgraph-agents-with-langmem

What's inside

Skill name
Add managed long-term memory to LangGraph agents with LangMem
Description
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
License
MIT
Instructions
33 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • name: "Add managed long-term memory to LangGraph agents with LangMem" does not match folder "add-managed-long-term-memory-to-langgraph-agents-with-langmem"

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

## Prerequisites

Python, langmem, LangGraph or LangChain agent runtime, persistent store such as Postgres for production, LLM provider API key

## Installation

Use the upstream install or setup path that matches your environment:
- pip install -U langmem

Requirements and caveats from upstream:
- python

Basic usage or getting-started notes:
- Configure your environment with an API key for your favorite LLM provider:
- export ANTHROPIC_API_KEY="sk-..." # Or another supported LLM provider
- Here's how to create an agent that actively manages its own long-term memory in just a few lines:

- Source: https://github.com/langchain-ai/langmem
- Extracted from upstream docs: https://raw.githubusercontent.com/langchain-ai/langmem/HEAD/README.md

## Documentation

- https://langchain-ai.github.io/langmem/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/add-managed-long-term-memory-to-langgraph-agents-with-langmem/)

From agentskillexchange/skills, MIT.

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    Add managed long-term memory to LangGraph agents with LangMem skill. Agent Mart. https://agentmart.dev/skills/agentskillexchange-add-managed-long-term-memory-to-langgraph-agents-with-langmem (last updated 2026-10-24)