Catalog Systems Framework-embedded memory LangMem (LangChain)

LangMem (LangChain)

https://langchain-ai.github.io/langmem/

First-class memory module inside LangChain — explicit cognitive-science-style typing of memories.

Active · Verified 2026-10-23 · fresh as of 2026-10-23 · 54 cited facts, 3 with a third-party source · 2 recorded changes · Suggest a correction

At a glance

Type
Episodic / semantic / procedural vendor fix
Tier
T2
Section
Framework-embedded memory
Created
2025-01 vendor fix
Latest release
v0.0.30 (2025-10-27) — PyPI registry fix
License
MIT repo fix
GitHub
langchain-ai/langmem — ~1.6k stars, 147 commits repo fix
Pricing
OSS library free; LangSmith (observability/platform) Free 5k traces/mo; Plus $39/mo; Enterprise custom. vendor fix
Funding
$160M total $1.2B val Series B · 2025-10 vendor fix
Freshness
2026-10-23 fix
Layer
agent-infra repo fix
Licensing
open-core vendor fix
Deployment locus
local vendor fix
Platform vs product
platform vendor fix
SDK languages
python vendor fix
Developer activity
OpenRank 0.49 (12-mo avg 1.77) · 9 participants — 2026-09 third-party fix
Maintainer health
10 issues in 90 days, 30% answered or closed · 0 releases in 12 months · bus factor 2 — as of 2026-11-01 repo

Memory taxonomy

storage
vector
retrieval
similarity
persistence
long-term
update
extraction
unit
episode
governance
inspectable
conflict
llm-arbitrate

When to use

Optimised for: cognitive-typed memory (episodic/semantic/procedural) inside LangGraph

Anti-fit: not for non-LangChain stacks (Python-first)

Pros & cons

Pros

First-party LangChain integration so memory composes with retrievers, chains, and graphs without glue code.

Cons

LangChain-shaped — maximum value if you've already adopted LangChain; less useful otherwise.

Claims & capabilities

First-class cognitive-typed memory module (episodic/semantic/procedural) inside LangChain. Reports 58.10% accuracy on LOCOMO with p95 search latency of 59.82s — much slower than Mem0 (0.200s, 67.13%). LangChain raised $160M Series B at $1.2B valuation (October 2025). MIT-licensed

Technical surface

API surface
SDK: Python (create_manage_memory_tool, create_search_memory_tool, background memory manager)
Backend storage
pluggable
Deployment
Both (LangSmith cloud managed + self-hosted Kubernetes; LangGraph Platform cloud or self-hosted)
Embedding model
multiple supported
Multi-tenancy
not applicable — library; namespacing is hierarchical (tuple-keyed) within whatever store the embedding app provides
MCP
via official adapter — LangChain MCP adapters
A2A
supported (LangChain A2A integration)
OpenTelemetry
first-class — LangSmith + OTel exporter

Alternatives to LangMem (LangChain) → live options ranked by shared design, licence, hosting and MCP support

Similar systems

Other framework-embedded memory in the catalog, ranked by inbound references.

  • Spring AI ChatMemory T3

    Wraps conversation memory behind an Advisor abstraction. MessageWindowChatMemory default 20-msg sliding window (preserves system messages); pluggable ChatMemoryRepository backends (in-memory, JDBC, Cassandra, Neo4j). Memory injected as cross-cutting concern at the ChatClient level.

  • Flowise Memory T1

    Discontinued: Flowise (acquired by Workday, Aug 2025) was sunset in 2026 — code freeze 2026-07-29, GitHub repo archived 2026-08-13, end of life 2026-08-31. Was a visual LangChain canvas with LangChain-native memory nodes (Buffer, Buffer Window, Conversation Summary Buffer) backed by an internal chat_message DB table; Buffer Window kept the last K interactions, Summary Buffer compressed older turns while keeping recent ones verbatim.

  • LangGraph Persistence T2

    Distinct from LangMem. Built-in checkpointer saves graph state per super-step (short-term, thread-scoped). Store System adds long-term hierarchical key-value memory across threads with optional vector search + TTL. Postgres / Mongo / Redis stores for production.

  • AutoGen Memory T2

    AutoGen's memory layer: ListMemory chronological context plus teachable agents that vectorise corrections; integrates with Mem0/Zep rather than building deep memory natively. Microsoft AutoGen is in maintenance mode (community managed, bug and security fixes only), and Microsoft points new projects to Microsoft Agent Framework.

  • CrewAI Memory T2

    Memory subsystem inside the CrewAI orchestration framework; integrates with Mem0 for the long-term tier.

  • Hermes Agent memory (Nous Research) T3

    Nous Research's open-source self-improving agent keeps an agent-curated MEMORY.md/USER.md notebook injected at session start, full-text (FTS5) search over past sessions that returns raw messages without LLM summarisation, and optional Honcho user modelling. one of the most-starred agent projects of 2026.

Sources (53 cited facts, 3 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-23
    • Pricing “OSS library free; LangSmith (observability/platform) Free 5k traces/mo; Plus $39/mo; Enterprise custom. LangGraph P…” → “OSS library free; LangSmith (observability/platform) Free 5k traces/mo; Plus $39/mo; Enterprise custom.” source
    #223
  2. 2026-10-22
    • Latest release first recorded as “v0.0.30 (2025-10-27) — PyPI” source
    #195

Related systems

References (3)

  • LangChain (framework) depends on at runtime — adjacent-infrastructure cell: requires LangChain / LangGraph; BYO LLM + store
  • LangGraph (orchestration) depends on at runtime — adjacent-infrastructure cell: requires LangChain / LangGraph; BYO LLM + store
  • LangGraph Persistence integrates with — First-party LangChain integration so memory composes with retrievers, chains, and graphs without glue code.