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LangMem
LangChain's memory toolkit: hot-path memory tools for agents and a background memory manager, on LangGraph's BaseStore.
langchain-ai.github.io/langmem/Maintenance
Last PyPI release langmem 0.0.30 on 2025-10-27; commits since are dependency and docs updates (latest 2026-10-02). (checked 2026-10-25)
In Agent memory
Where it stands apart
- Is it actively maintained? maintenance or slowing (5% of 21 others)
- In the default setup, who mainly decides what gets remembered? the agent, by calling memory tools (19% of 21 others)
- What is the main storage model for long-term memory? vector store of extracted facts or chunks (20% of 20 others)
What it shares with most of the community
- How is the main thing licensed? permissive open source (MIT/Apache/BSD) (67% of 21 others)
- How is it mainly sustained? company with a paid product, tier, or ads (75% of 20 others)
- Can it run entirely on your own device or infrastructure, without the maker's servers? yes (67% of 21 others)
- Who is it for? developers (76% of 21 others)
- How can the person the memories are about see and edit them? only through developer APIs or a developer dashboard (62% of 21 others)
- By default, how do old or wrong memories mainly go away? the system updates, merges, or decays them automatically (58% of 19 others)
- Does it work with models from different LLM vendors? yes, model-agnostic (86% of 21 others)
- How is memory separated between users or tenants? built-in scoping by user, agent, session, or tenant IDs (62% of 21 others)
Nearest neighbors
- Motorhead 76% of 17 shared answers match
- A-MEM 71% of 17 shared answers match
- MemoryOS (BAI-LAB) 71% of 17 shared answers match
Every answer
| Question | Answer | Source |
|---|---|---|
| Is it actively maintained? | stands apart maintenance or slowing | source 2026-10-25 |
| How is the main thing licensed? | permissive open source (MIT/Apache/BSD) MIT | source 2026-10-25 |
| How is it mainly sustained? | company with a paid product, tier, or ads LangChain; native to LangGraph Platform deployments. | source 2026-10-25 |
| Can it run entirely on your own device or infrastructure, without the maker's servers? | yes | source 2026-10-25 |
| Do you need an account to use it? | no account pip install plus an LLM-provider key; LangSmith/LangChain account not required. | source 2026-10-26 |
| Who is it for? | developers | source 2026-10-25 |
| Which shared standard or format does it mainly build on? | none of these (its own format or interface) LangGraph BaseStore, a LangChain-only interface. | source 2026-10-26 |
| In the default setup, who mainly decides what gets remembered? | stands apart the agent, by calling memory tools Quickstart gives the agent manage/search memory tools; a background manager can also extract. | source 2026-10-25 |
| How can the person the memories are about see and edit them? | only through developer APIs or a developer dashboard | source 2026-10-25 |
| By default, how do old or wrong memories mainly go away? | the system updates, merges, or decays them automatically Background manager 'extracts, consolidates, and updates'. | source 2026-10-25 |
| Where do memories live in the default setup the docs lead with? | in the developer's own infrastructure | source 2026-10-25 |
| Does it work with models from different LLM vendors? | yes, model-agnostic | source 2026-10-25 |
| What is the main storage model for long-term memory? | stands apart vector store of extracted facts or chunks LangGraph store with embedding index. | source 2026-10-25 |
| What shape does it mainly take (the one its docs lead with)? | library or API primitive you build into your app | source 2026-10-25 |
| Is there a first-party MCP server for it? | no | source 2026-10-25 |
| How is memory separated between users or tenants? | built-in scoping by user, agent, session, or tenant IDs Namespaces, typically templated by user_id. | source 2026-10-25 |
| Does it publish scores on public memory benchmarks (LoCoMo, LongMemEval, BEAM, etc.)? | no | source 2026-10-25 |
Sources
This page was derived from:
- GitHub · github.com/langchain-ai/langmem · read 2026-10-25
- Web page · langchain-ai.github.io/langmem/ · read 2026-10-25
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