Showing 6 results
Mem0
Universal memory layer for AI agents — multi-signal retrieval, temporal reasoning, 57k+ GitHub stars
Give your AI apps persistent memory and intelligence
Milvus
High-performance vector database — billion-scale AI similarity search.
Apache-2.0 alternative to Pinecone with HNSW/IVF/DiskANN indexing, GPU acceleration, and distributed architecture. Lite mode for development.
Qdrant
High-performance vector database — semantic search at scale.
Apache-2.0 alternative to Pinecone with HNSW indexing, payload filtering, and distributed deployment. Rust engine with REST/gRPC APIs.
Chroma
Rust-based vector database for AI — serverless cloud with hybrid and full-text search for embeddings, metadata, and RAG
Open-source vector database for AI search and retrieval
Supermemory
Memory layer for AI agents — hybrid vector search, ontology-aware graph, and sub-100ms retrieval
Memory layer for AI agents — hybrid vector search with ontology-aware graph and sub-100ms retrieval. Self-hostable alternative to Pinecone and Mem0.
Weaviate
AI-native vector database with semantic search, RAG, and hybrid search for building AI agents and applications
AI-native vector database for intuitive applications
Vector databases store and query high-dimensional embeddings for semantic search, RAG, and AI agent memory. This category splits into pure vector databases (Milvus, Qdrant, Chroma, Weaviate) and memory-layer tools built specifically for AI agents (Mem0, Supermemory).
For large-scale similarity search, Milvus and Qdrant are the most widely used. If you need hybrid (keyword + vector) search built in, Weaviate and Chroma cover that. If you're building agent memory rather than a general-purpose vector store, Mem0 and Supermemory are purpose-built for that instead.
FAQ
What's the best open-source alternative to Pinecone?
Milvus and Qdrant for a direct, general-purpose vector database. See alternatives to Pinecone for the full comparison.
What's the difference between a vector database and an agent memory layer?
Vector databases like Milvus and Qdrant store and query embeddings generically. Memory layers like Mem0 and Supermemory add retrieval logic, temporal reasoning, and agent-specific context management on top.
Is there an open-source alternative to Zilliz Cloud or MongoDB Atlas Vector Search?
Yes — Milvus (the open-source engine behind Zilliz Cloud) and Qdrant both self-host. See alternatives to Zilliz and alternatives to MongoDB Atlas Vector Search.
What are the top open-source vector databases?
Browse alternatives to Pinecone above for the full list with GitHub stars and licenses.