About cognee
Reliable LLM Memory for AI Applications and AI Agents
cognee vs LangMem (2026)
A side-by-side comparison of cognee and LangMem, two ai agent memory AI agents. Compare pricing, access model, and key features to decide which fits your workflow.
Category
AI Agent Memory
AI Agent Memory
Industry
Technology
Horizontal
Pricing
Free
Free
Access
Open Source
Open Source
Upvotes
3
3
Views
483
627
About LangMem
Helping AI agents learn and adapt from interactions over time
Key features compared
Modular: Cognee is modular by nature, using tasks grouped into pipelines
Local Setup: By default, LanceDB runs locally with NetworkX and OpenAI.
Vector Stores: Cognee supports LanceDB, Qdrant, PGVector and Weaviate for vector storage.
Language Models (LLMs): You can use either Anyscale or Ollama as your LLM provider.
Graph Stores: In addition to NetworkX, Neo4j is also supported for graph storage.
Core memory API compatible with any storage system
Memory management tools for active conversations
Background memory manager for automatic knowledge extraction and updates
Native integration with LangGraph's Long-term Memory Store
Newsletter
Stay Ahead of the Curve
Get curated AI agent updates delivered to your inbox
No spam. Unsubscribe anytime.
Tell me the task — I'll narrow the agent shortlist.
