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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.
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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
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supermemory™
✓ verifiedFreemium
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
174K visits/mo
Pricing
Essential: $24.99 / mo
Premium: $39.99 / mo
Ultimate: $59.99 / mo
Business: $100/mo flat (up to 50 seats, $100 usage included)
Free trial available
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)
No public pricing
Core features
- ✦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
- ✦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)
- ✦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
- ✦Lifelike voice AI agents
- ✦24/7 availability
- ✦Customer-led conversational platform
- ✦Integration with enterprise systems
Use cases
- →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
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →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
- →Answering customer service calls
- →Providing information and support
- →Resolving customer issues
- →Automating call center operations
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