Add managed long-term memory to LangGraph agents with LangMem SKILL.md skillA
Add managed long-term memory to LangGraph agents with LangMem from agentskillexchange/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add agentskillexchange/skills/Add managed long-term memory to LangGraph agents with LangMem@git:20260710.62afd0fPins git:20260710.62afd0f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- agentskillexchange/skills
- Path
skills/add-managed-long-term-memory-to-langgraph-agents-with-langmem/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260710.62afd0f, committed Jul 10, 2026
- First version recorded
- Jul 10, 2026
- Size
- 1,718 bytes
- Repository stars
- 62
- License
- MIT
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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/)
Read the whole file at its exact version.
How to install
mdr add agentskillexchange/skills/Add managed long-term memory to LangGraph agents with LangMem@sha256:cd16e6ebeea3e6f8The line at the top of this page pins the label git:20260710.62afd0f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2i3ohnfp33ys72sn)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Jul 10, 2026. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260710.62afd0f latest | 2026-07-10 | 62afd0f | 1,718 B | A | view · diff |
| git:20260710.2925510 | 2026-07-10 | 2925510 | 1,702 B | B | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1718 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
agentskillexchange/skills · 62 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2i3ohnfp33ys72sn GET https://markdownregistry.com/api/v1/resolve?ref=agentskillexchange/skills/Add managed long-term memory to LangGraph agents with LangMem GET https://markdownregistry.com/api/v1/blob/cd16e6ebeea3e6f8e890695b6adba56ad9b74de1f8e318070c1120a81df3de37
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.