Add managed long-term memory to LangGraph agents with LangMem
SkillSearchThis gives LangGraph agents long-term memory, so facts they learn in one conversation are still available in the next. Your agent can keep useful knowledge on hand, recall it when needed, and revise it as things change.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, connect the memory and search tools to your LangGraph agent. Start a conversation so it can begin saving and recalling facts across sessions.
Then ask your AI: use the Add managed long-term memory to LangGraph agents with LangMem skill
What your AI can do with it
- Store durable facts that carry over between sessions
- Recall saved information in later conversations
- Update existing memories when details change
- Search stored memories to find what is relevant
What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/add-managed-long-term-memory-to-langgraph-agents-with-langmem/SKILL.md and read by ahel’s review.
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:
-
Extracted from upstream docs: https://raw.githubusercontent.com/langchain-ai/langmem/HEAD/README.md
Documentation
Source
Signals
- GitHub stars
- 38
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
add-managed-long-term-memory-to-langgraph-agents-wit-1vh3pq9- Source
- github.com/agentskillexchange/skills