Comparison

Cognee vs Mem0

On the evidence we track, Cognee leads this comparison with a composite score of 83/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Cognee83
Mem053
Score
Vioscale score
Cognee83 / 100low · 37%
Mem053 / 100medium · 54%
Pricing
Free tier
Cognee
Mem0
Model
Price level
Cogneelow
Mem0low
Starting price
Cognee$5
Mem0
Transparent
Cognee
Mem0
Integrations
Count
Cognee27
Mem016
Security
Gdpr
Cognee
Mem0
Hipaa
Cognee
Mem0
Soc2
Cognee
Mem0

Capabilities

Feature-by-feature on the axes that matter for agent memory. “-” means undocumented, not absent.

Capabilities
Architecture model
CogneeOpen source self hosted
Mem0Open source self hosted
Graph based entity relationship extraction
Cognee
Mem0
Automatic context window rolling summarization
Cognee
Mem0
Semantic vs episodic event chronological memory
Cognee
Mem0
Cross session and multi thread user persistence
Cognee
Mem0
Memory conflict resolution and fact updating
Cognee
Mem0-
Multi tenant user and agent isolation
Cognee
Mem0
Native langchain and llamaindex memory classes
Cognee
Mem0-
Time decay and recency weighted retrieval
Cognee
Mem0
Zero data retention and pii redaction layer
Cognee
Mem0-
SOC2 type ii
Cognee
Mem0
Mit or apache permissive oss license
Cognee
Mem0-
Pricing model
Cognee-
Mem0-

What each one is

The product in its own terms, so the numbers below have context.

Cognee

Leader

Cognee is a graph-based memory engine for AI agents that captures information, organizes it as interconnected knowledge, and enables agents to recall context across conversations. It runs locally, on managed cloud infrastructure, or on-premises with full control over data.

Independently observed

Mem0

Mem0 provides AI agents and LLMs with durable memory that persists across conversations, reducing redundant context and token costs. It stores facts, preferences, and events keyed by users or agents, enabling personalized, context-aware interactions that improve over time.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Cognee

Leader
from $5/workspace/moHybridFree tier

Free tier (1M tokens/mo). Standard from $5/workspace/mo. Enterprise custom pricing.

  • FreeFree
    • Graph-based memory
    • SDK and MCP access
    • Agentic integrations (Claude Code, Cursor, Codex)
    • Unlimited users and API calls
  • Standard$5 per workspace/month
    • Unlimited workspaces
    • Data integrations: Slack, Notion, Google Drive
    • In-app support
  • PremiumCustom pricing with enterprise support
    • Dedicated Slack channel
    • Dedicated support engineer
    • Bring-your-own cloud support
    • Support SLA
as of verify ↗

Mem0

freemiumFree tier

Free tier available; paid plans exist but specific pricing not disclosed in provided text

as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Cognee
Mem0
CLI
Cognee
Mem0
Deployment
Cloud / SaaS
Cognee
Mem0
Self-hosted
Cognee
Mem0
On-premise
Cognee
Mem0
Air-gapped
Cognee
Mem0

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (6)
  • Claude Code
  • Cursor
  • Codex
  • OpenClaw
  • n8n
  • Slack

Cognee

Leader
27 total - 21 not shared
  • LangGraph
  • CrewAI
  • Notion
  • Google Drive
  • Amazon Neptune
  • Weaviate
  • Qdrant
  • Pinecone
  • Redis
  • Azure AI Search
  • Milvus
  • OpenSearch
  • Valkey
  • Memgraph
  • NetworkX
  • Google Cloud Spanner
  • TuringDB
  • pgGraph
  • DuckDB
  • FalkorDB
  • ScrapeGraphAI
Independently observed

Mem0

16 total - 10 not shared
  • Linear
  • Zapier
  • ChatGPT
  • Perplexity
  • Vercel AI SDK
  • DeepSeek
  • OpenAI
  • HuggingFace
  • Windsurf
  • OpenCode
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.