vs LangMem

Mengram vs LangMem

LangMem is LangChain's memory module for LangGraph agents. Mengram is a standalone memory API that works with any framework — LangChain, CrewAI, OpenAI, or direct API calls.

What LangMem does well

  • Native LangGraph integration — first-class LangChain support
  • Thread-scoped and cross-thread memory
  • Backed by LangChain team — strong ecosystem alignment
  • Memory formed via background processing

What LangMem doesn't have

  • Tightly coupled to LangGraph — harder to use outside LangChain
  • No episodic memory (events, decisions)
  • No procedural memory (workflows)
  • No Cognitive Profile
  • No standalone MCP server
  • No knowledge graph visualization

Feature comparison

Mengram LangMem
Semantic memory (facts) ✅ ✅
Episodic memory (events) ✅ ❌
Procedural memory (workflows) ✅ ❌
Self-improving procedures ✅ ❌
Cognitive Profile ✅ ❌
Multi-user isolation ✅ ✅
Knowledge graph ✅ ❌
MCP server ✅ ❌
Import (ChatGPT, Obsidian) ✅ ❌
Self-hostable ✅ ✅
Price Free Via LangSmith plans

When to choose what

Choose LangMem if...

Teams already using LangGraph and LangSmith who want memory deeply integrated into their LangChain workflow.

Choose Mengram if...

Framework-agnostic memory with 3 types. Works with any LLM, any framework, any client. Free cloud API + MCP + Cognitive Profile.

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