git:20260710.2925510 to git:20260710.62afd0f
15 added, 15 removed. Audit B to A.
---
- title: "Add managed long-term memory to LangGraph agents with LangMem"
+ name: "Add managed long-term memory to LangGraph agents with LangMem"
+ slug: "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."
+ github_stars: 1502
verification: "security_reviewed"
source: "https://github.com/langchain-ai/langmem"
author: "LangChain"
publisher_type: "organization"
- category:
- - "Developer Tools"
- framework:
- - "Custom Agents"
+ category: "Developer Tools"
+ framework: "Custom Agents"
tool_ecosystem:
github_repo: "langchain-ai/langmem"
github_stars: 1502
---
# 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
- Choose whichever fits your setup:
+ Use the upstream install or setup path that matches your environment:
+ - pip install -U langmem
- 1. Copy this skill folder into your local skills directory.
- 2. Clone the repo and symlink or copy the skill into your agent workspace.
- 3. Add the repo as a git submodule if you manage shared skills centrally.
- 4. Install it through your internal provisioning or packaging workflow.
- 5. Download the folder directly from GitHub and place it in your skills collection.
+ Requirements and caveats from upstream:
+ - python
- Install command or upstream instructions:
+ 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:
- ```
- Install with `pip install -U langmem`, configure the target LLM provider key, create or connect a LangGraph store, then add `create_manage_memory_tool` and `create_search_memory_tool` to the agent.
- ```
+ - 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/)