Supermemory vs Weaviate

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

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Weaviate

🔴Developer

AI Knowledge Tools

Open-source vector database enabling hybrid search, multi-tenancy, and built-in vectorization modules for AI applications requiring semantic similarity and structured filtering combined.

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Starting Price

Free

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Feature Comparison

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Feature	Supermemory	Weaviate
Category	Development	AI Knowledge Tools
Pricing Plans	8 tiers	4 tiers
Starting Price		Free
Key Features	• Five-layer context stack (connectors, extractors, retrieval, graph, profiles) • Vector Graph Engine with ontology-aware edges • User Understanding Model for behavioral profiling	• Workflow Runtime • Tool and API Connectivity • State and Context Handling

💡 Our Take

Choose Supermemory if your priority is shipping an agent with persistent memory in 5 minutes using a managed API, with sub-300ms p95 latency out of the box. Choose Weaviate if you need full control over a self-hosted, open-source vector database with flexible schemas and are willing to build the memory graph, profiling, and connector layers yourself.

Supermemory - Pros & Cons

Pros

✓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

Cons

✗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

Weaviate - Pros & Cons

Pros

✓Open-source vector database with rich hybrid search capabilities
✓Supports both vector and keyword search in one system
✓Built-in module system for vectorization and ML models
✓Self-hostable or managed cloud — flexible deployment options
✓GraphQL API provides powerful and flexible querying

Cons

✗Self-hosting requires significant operational expertise
✗Resource-intensive for large-scale deployments
✗Learning curve for the module and schema system
✗Cloud pricing can be significant for production workloads

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🔒 Security & Compliance Comparison

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Security Feature	Supermemory	Weaviate
SOC2	—	✅ Yes
GDPR	—	✅ Yes
HIPAA	—	—
SSO	—	🏢 Enterprise
Self-Hosted	—	🔀 Hybrid
On-Prem	—	✅ Yes
RBAC	—	✅ Yes
Audit Log	—	—
Open Source	—	✅ Yes
API Key Auth	—	✅ Yes
Encryption at Rest	—	✅ Yes
Encryption in Transit	—	✅ Yes
Data Residency	—	US, EU
Data Retention	—	configurable

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Read the full reviews to make an informed decision

Review Supermemory Review Weaviate