Memory layer for AI agents — hybrid vector search, ontology-aware graph, and sub-100ms retrieval
Supermemory is a memory layer for AI applications with 23k+ GitHub stars — a Pinecone alternative with hybrid vector search, ontology-aware graph, and sub-100ms retrieval for agents and RAG.
Explore more open-source options in Developer Tools.
| Supermemory | Pinecone | |
|---|---|---|
| License | MIT (open source) | Proprietary |
| Models | Bring your own keys / local models | Vendor-locked models |
| Deployment | Self-hosted or cloud | SaaS only |
| Privacy | Data stays on your infrastructure | Processed by vendor |
| Cost | Free software + API usage | Subscription pricing |
Choose Supermemory if you want open-source code, self-hosting options, and full control over your data and deployment.
Choose Pinecone if you prefer a managed proprietary product with vendor support and minimal setup.
Browse more open-source alternatives to Pinecone, or explore other tools in Developer Tools.
| License | MIT |
| Stack | TypeScript, Rust, PostgreSQL |
| Self-hosted | Yes — Supermemory OSS |
| Cloud | supermemory.ai (managed) |
| Latency | Sub-100ms |
npm install supermemory
Supermemory can be embedded in your application or deployed as a service. The cloud version provides fully managed infrastructure.
Yes. Supermemory is open source under MIT. You can self-host it at no software cost — you only pay for infrastructure or optional managed services.
Supermemory gives you source code access, self-hosting, and data ownership. Pinecone is a proprietary product focused on managed convenience. See the comparison table above for a side-by-side breakdown.
Yes. Supermemory supports self-hosted deployment, which is a core reason teams choose it over Pinecone. Check the Getting started or Self-hosting section for install commands.
Supermemory is actively maintained with a strong open-source community. Many teams run it in production as a Developer Tools alternative to Pinecone. Review the At a glance table for license and stack details.
Browse alternatives to Pinecone for more open-source options. Explore the full Developer Tools category for related projects.
Mem0
Universal memory layer for AI agents — multi-signal retrieval, temporal reasoning, 57k+ GitHub stars

Milvus
High-performance vector database — billion-scale AI similarity search.
Qdrant
High-performance vector database — semantic search at scale.

Chroma
Rust-based vector database for AI — serverless cloud with hybrid and full-text search for embeddings, metadata, and RAG

Weaviate
AI-native vector database with semantic search, RAG, and hybrid search for building AI agents and applications