Cognee vs LangMem
A side-by-side comparison of Cognee and LangMem, two Memory tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Cognee | LangMem |
|---|---|---|
| Category | Memory | Memory |
| Pricing (differs) | FREEMIUM | FREE |
| License (differs) | Open core | Open source |
| Deployment (differs) | Hybrid | — |
| Platforms (differs) | API | API, CLI |
| Model support | BYO key / model | BYO key / model |
| Vendor (differs) | Cognee | LangChain |
| Capabilities (differs) |
|
|
The honest brief
Cognee
Builds an LLM-derived knowledge graph alongside embeddings, so recall follows relationships, not just vector similarity.
- Self-hostable Python SDK
- Recall follows concept relationships
- Bring your own LLM/embedding provider
- Newer, smaller ecosystem
- Cognify pipeline adds LLM cost
- Self-host setup overhead
LangMem
Backed by LangChain, its memory tools plug straight into LangGraph rather than running as a standalone store.
- Semantic, episodic, procedural memory
- Storage- and framework-agnostic core API
- Native LangGraph integration
- MIT-licensed and free
- Most value inside the LangChain stack
- Young SDK, evolving API
- You wire up your own storage layer
When to pick which
Across the signals we compare, Cognee and LangMem differ on pricing, license, and platforms:
- Pricing
- FREEMIUM · FREE
- License
- Open core · Open source
- Platforms
- API · API, CLI
Their capability lists differ in recorded depth — compare the full lists above before deciding.