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AstroSafe vs Cognee

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

AstroSafe compared with Cognee
DetailAstroSafe logo AstroSafe Cognee
What it doesKid-safe AI infrastructure and services for children's products Open-source memory platform for AI agents
StageNot given Not given
FoundedNot given Not given
Based inGB DE
Pricing modelNot given Not given
PricingNot given Free: $0/month with 1M tokens and 1 workspace (no card required). Standard: $1.00 per 1M tokens plus $5 per additional workspace. Enterprise: contact for pricing with bring-your-own-cloud deployment. Open-source engine available free to self-host.
Key features
  • Aegis safety middleware for GPT, Claude, Gemini, Llama and other models
  • Custom AI model design and training for specific domains and use cases
  • Enterprise AI infrastructure with private deployments and scalable inference
  • Safety-readiness sprint audits mapping gaps against COPPA, GDPR-K and EU AI Act
  • Independent benchmark scoring AI models on kid-specific scenarios
  • Independent benchmark for kid-safe AI apps scoring moderation and parental controls
  • Age-aware response tuning adapted to each child's developmental stage
  • Tamper-proof parental controls that children cannot circumvent
  • Privacy-by-design architecture without data profiling or training on children
  • Unified vector search, knowledge graphs, and relational storage
  • Automatic knowledge graph generation from data sources
  • Multi-tenant support with isolated workspaces
  • Data source integrations (Slack, Notion, Google Drive, GitHub, etc.)
  • Self-improving memory that learns from use
  • Multiple deployment options (cloud, self-hosted, air-gapped)
  • Agent framework integrations (LangGraph, CrewAI, OpenAI SDK, MCP)
  • Support for multiple vector and graph databases
  • GDPR compliance and encryption at rest and in transit
  • Built-in graph visualization of company brain
What makes it different
  • Purpose-built for children rather than generic adult AI systems adapted for kids
  • Independent, vendor-neutral benchmarks for kid-safe AI with open methodology and quarterly updates
  • Full end-to-end services from custom model training to App Store launch
  • Years of experience shipping safe consumer products for families
  • Combines vectors with graph relationships and generated data models for connected context retrieval
  • State of the art performance on BEAM benchmark (79% vs 73.4% at 100k tokens)
  • Keeps memory costs flat as data grows compared to baseline LLM approaches
  • Fully open-source with no database lock-in
  • Updates memory as source data changes, not just static snapshots
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)42 no change since last check70 no change since last check
Trust Flow (Majestic)2814
Citation Flow (Majestic)4243
Referring domains (Majestic)4991089

4 details filled in for both companies.

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