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LangMem
Overview
LangMem is a Python SDK for adding long-term memory and prompt refinement to agents.
LangMem is a Python SDK for adding long-term memory and prompt refinement to agents.
Memory tools can extract, search and update information during conversations, while background processes consolidate memories and refine prompts.
Python installation and agent integration require developers to configure models, embeddings, storage and user namespaces.
The open-source library has no hosted-plan fee; model calls, storage and engineering remain separate costs.
Storage-agnostic primitives work in custom agents, with native LangGraph store support.
Use it when an agent needs to retain user context or consolidate experience. Developers choose memory boundaries, storage, model access and retention policies.
Product overview
Capabilities, pricing and fit
LangMem is a Python SDK for adding long-term memory and prompt refinement to agents.
Information as of October 28, 2026
What it can do
- Workflow
Memory tools can extract, search and update information during conversations, while background processes consolidate memories and refine prompts.[1], [2], [3]
- Setup and human role
Python installation and agent integration require developers to configure models, embeddings, storage and user namespaces.[1], [2], [3]
- Connections
Storage-agnostic primitives work in custom agents, with native LangGraph store support.[1], [2], [3]
- Video guide
The February 2025 LangChain tutorial demonstrates semantic memory and separate user namespaces.[4]
Where it fits best
Pricing and availability
The open-source library has no hosted-plan fee; model calls, storage and engineering remain separate costs.[1], [2], [3]
Platforms: Developer-managed installation[1], [2], [3]
Access: Python installation and agent integration require developers to configure models, embeddings, storage and user namespaces.[1], [2], [3]
Sources (4)
- langchain-ai.github.io — product informationOfficial site · checked 2026-10-28
- github.com — product informationOfficial site · checked 2026-10-28
- langchain-ai.github.io — product informationOfficial site · checked 2026-10-28
- Dated product demonstrationOfficial site · checked 2026-10-28
Autonomy level
72/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of LangMem:
- Use it when an agent needs to retain user context or consolidate experience. Developers choose memory boundaries, storage, model access and retention policies.
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Popularity level: 66%
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