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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

supermemory™ logo
supermemory™
✓ verifiedFreemium

Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.

174K visits/mo
AI or Not logo
AI or Not
✓ verifiedFreemium

AI or Not detects AI-generated and deepfake images, video, audio and text via API with a claimed 98.9% accuracy.

240K visits/mo2.9K saves
Gumloop logo
Gumloop
✓ verifiedFreemium

No-code platform for building and running AI agents that automate work across data, sales and support tasks.

701K visits/mo
Augment Code logo
Augment Code
✓ verifiedPaid

Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.

544K visits/mo
933K visits/mo
Pricing
Free: $0/mo (~$5/mo of usage included)
Pro: $19/mo (~$20/mo of usage, unlimited storage, 2 teammates)
Max: $100/mo (~$130/mo of usage, 6x Pro headroom)
Scale: $399/mo (~$600/mo of usage, up to 10 teammates)
Free: $0 ($5 in credits, 1M words + 20 image checks)
Pro: $5/mo ($10 credits/mo)
Pro: $37/month (20k+ credits/month, unlimited seats)
Business: $100/mo flat (up to 50 seats, $100 usage included)

Free trial available

Essential: $24.99 / mo
Premium: $39.99 / mo
Ultimate: $59.99 / mo
Core features
  • Persistent, structured memory built as a knowledge graph
  • Sub-300ms hybrid retrieval (RAG) with reranking
  • Native filesystem mount for agent memory access
  • Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
  • Automatic extraction from PDFs, images, and audio
  • User profile and behavior tracking across sessions
  • AI image, video, audio and text detection
  • Deepfake detection
  • Detection API with key included
  • Per-use credits across all modalities
  • Model-level breakdown of results
  • Enterprise/on-prem and reseller options
  • Visual canvas to orchestrate multi-agent workflows
  • Prebuilt specialized agents (data, support, CRM, sales)
  • Access to many AI models with no vendor lock-in
  • Slack, Teams and email agent interaction
  • Recurring/scheduled tasks and triggers
  • Enterprise security: RBAC, VPC, audit logs, spend controls
  • Context Engine for codebase understanding
  • Agents across the full SDLC
  • Model routing / bring-your-own-keys
  • Automated code review and test coverage
  • CLI, MCP and native tool integrations
  • Enterprise security (SOC 2, ISO 42001, SSO)
  • AI-powered trading indicators
  • Screeners for identifying high-probability setups
  • Backtesters for strategy optimization
  • AI Backtesting Assistant for automated strategy building
  • Community support and educational resources
Use cases
  • Developers adding long-term memory to AI agents
  • Teams building agents that need to sync with existing tools
  • Individuals wanting one memory layer shared across multiple AI assistants
  • Verify whether media is AI-generated
  • Screen content for deepfakes
  • Integrate AI detection into workflows via API
  • Automate data analysis and reporting
  • Triage support tickets and spot patterns
  • Keep a CRM updated and research prospects
  • Deploy AI agents across a team's tools
  • Automating PR code review
  • Raising test coverage
  • Incident investigation and remediation
  • Large-scale migrations and onboarding
  • Automating complicated price action analysis
  • Generating trading signals and detecting reversals
  • Scanning assets for specific trading criteria
  • Backtesting and optimizing trading strategies
  • Building trading strategies with AI assistance
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