Swarmnest

Home › Directory › Agent Memory › LangChain Memory

LangChain Memory

LangChain provides create_agent: a minimal, highly configurable agent harness. Compose exactly the agent your use case needs from model, tools, prompt, and middleware.

Visit LangChain MemoryDocs

CategoryAgent Memory
AuthenticationSee docs
PricingSee site
Websitehttps://docs.langchain.com/oss/python/langchain/overview
Docshttps://github.com/langchain-ai/docs/edit/main/src/oss/langchain/overview.mdx
Last checked2026-10-14
As JSON/api/v1/directory/langchain-memory.json

Information is summarised in our own words and may be out of date; check the vendor's site for current terms and prices. Not affiliated with LangChain Memory. Suggest a correction.

More in Agent Memory

Mem0

Memory layer that lets agents remember user facts and preferences across sessions.

Zep

Long-term memory for agents built on a temporal knowledge graph of conversations and data.

Zep (memory layer)

Zep / Examples, Integrations, & More.

Supermemory

Agents need memory. supermemory is building the default engine for memory and continual learning for agents.