Supermemory vs OutSystems

Detailed side-by-side comparison to help you choose the right tool

Supermemory

Development

Context engineering platform and memory layer for AI agents with user profiles, memory graph, retrieval capabilities, and enterprise APIs.

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Starting Price

Custom

Development

AI development platform built for enterprise application development and deployment.

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Starting Price

Custom

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Feature	Supermemory	OutSystems
Category	Development	Development
Pricing Plans	8 tiers	10 tiers
Starting Price
Key Features	• Five-layer context stack (connectors, extractors, retrieval, graph, profiles) • Vector Graph Engine with ontology-aware edges • User Understanding Model for behavioral profiling	• AI-powered low-code development environment • Mentor agentic AI development assistant • Agent Workbench for building reasoning AI agents

✓Only platform in its comparison set offering all five context layers (connectors, extractors, retrieval, graph, profiles) in a single API
✓Verifiable performance leadership: 85.2% on LongMemEval and #1 rankings on LoCoMo, ConvoMem, and MemoryBench benchmarks
✓Proven production scale, handling 100B+ tokens monthly with sub-300ms p95 latency
✓Broad ecosystem with 14+ named integrations including LangChain, LangGraph, CrewAI, Vercel AI SDK, and Zapier
✓Generous free tier with 1M tokens/month and 10K search queries, with Pro tier at just $19/month
✓Enterprise-ready with SOC 2, HIPAA, GDPR, self-hosting in customer VPC, and a no-training data policy

✗Scale tier jumps sharply from $19/month Pro to $399/month, leaving a large gap for mid-sized teams
✗Gmail, S3, and Web Crawler connectors are gated to the $399 Scale tier and above
✗Overage charges ($0.01 per 1,000 tokens, $0.10 per 1,000 queries) can add up for unpredictable workloads
✗As a newer memory-layer category, best practices and community tutorials are still maturing compared to established vector DBs
✗Enterprise features like SSO, forward-deployed engineers, and custom integrations require a custom-priced contract with no public pricing

✓Enterprise-grade governance with security and compliance built into every app and agent, critical for banking, insurance, and government sectors
✓Unified platform covering the entire SDLC from development through deployment, reducing the need for multiple point tools
✓Strong integration capabilities with SAP, Salesforce, and legacy systems make it a practical choice for large enterprises with complex backends
✓Agentic AI tools (Mentor and Agent Workbench) allow teams to build AI agents that reason, plan, and act beyond simple chatbots
✓Proven track record since 2001 with 2,000+ enterprise customers and recognition as a Gartner Magic Quadrant Leader for multiple consecutive years
✓Data Fabric provides a virtual data layer that simplifies connecting AI apps and agents to fragmented enterprise data sources

✗Pricing is not publicly disclosed and requires contacting sales, making budget planning difficult for smaller teams
✗Enterprise focus means the platform is likely cost-prohibitive for startups, solo developers, or small businesses
✗Steeper learning curve than simpler no-code tools, with certification and specialized OutSystems knowledge often required
✗Vendor lock-in concerns since applications are built within the proprietary platform and cannot be easily migrated elsewhere
✗Customization beyond the visual environment may require workarounds or extensions for highly unique requirements

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