vioscale
Comparison

Cognee vs Motörhead

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.

Cognee full profile →Motörhead full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
★Cognee83
Motörhead34
Score
Vioscale score
Cognee83 / 100low · 37%
Motörhead34 / 100low · 8%
Pricing
Free tier
Cognee✓
Motörhead–
Model
Cogneefreemium
Motörhead–
Price level
Cogneelow
Motörhead–
Starting price
Cognee$5
Motörhead–
Transparent
Cognee✓
Motörhead–
Integrations
Count
Cognee27
Motörhead4
Security
Disclosure policy
Cognee–
Motörhead✓
Gdpr
Cognee✓
Motörhead✓
Market
Availability

Capabilities

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

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

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

Motörhead

Metal consolidates scattered firm data into a structured, graph-based format that can be queried and integrated with AI tools like Claude, ChatGPT, and Copilot. It enables data-driven decision-making by providing ranked, sourced context for investment analysis.

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 ↗

Motörhead

Pricing not documented yet.

Platform & deployment

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

Platforms
Web
Cognee✓
Motörhead–
CLI
Cognee✓
Motörhead–
Deployment
Cloud / SaaS
Cognee✓
Motörhead✓
Self-hosted
Cognee✓
Motörhead✗
On-premise
Cognee✓
Motörhead✗
Air-gapped
Cognee✓
Motörhead✗

Integrations

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

Cognee

Leader
27 total
  • Claude Code
  • Cursor
  • Codex
  • LangGraph
  • OpenClaw
  • CrewAI
  • n8n
  • Slack
  • Notion
  • Google Drive
  • Amazon Neptune
  • Weaviate
  • Qdrant
  • Pinecone
  • Redis
  • Azure AI Search
  • Milvus
  • OpenSearch
  • Valkey
  • Memgraph
  • NetworkX
  • Google Cloud Spanner
  • TuringDB
  • pgGraph
  • +3 more
Independently observed

Motörhead

4 total
  • Claude
  • ChatGPT
  • Copilot
  • MCP-compatible clients
Independently observed

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