There are 4 open-source alternatives to Milvus in this directory. The most popular is Chroma with 27.4k GitHub stars, followed by Letta(22.0k stars). All are open source, free to use, and many can be self-hosted.
| # | Tool | Stars | Language | License |
|---|---|---|---|---|
| 1 | Chroma Chroma is an open-source search and retrieval database designed specifically for AI applications. It enables efficient vector storage, similarity search, and large-scale retrieval necessary for modern machine learning and LLM-powered projects. | 27.4k | Rust | Apache License 2.0 |
| 2 | Letta Letta is an open AI platform for building stateful agents with advanced memory, learning, and self-improvement capabilities. It enables the creation of intelligent agents that remember, adapt, and evolve over time. | 22.0k | Python | Apache License 2.0 |
| 3 | Weaviate Weaviate is an open-source vector database designed to store and manage both objects and vectors, enabling combined vector search with structured filtering. It offers fault tolerance, scalability, and is built as a cloud-native, developer-friendly solution for semantic search and AI-powered applications. | 16.0k | Go | BSD 3-Clause "New" or "Revised" License |
| 4 | Memvid Video-based AI memory library for storing millions of text chunks in MP4 files with lightning-fast semantic search, eliminating the need for a traditional database. | 8.3k | Python | MIT License |
Chroma is an open-source search and retrieval database designed specifically for AI applications. It enables efficient vector storage, similarity search, and large-scale retrieval necessary for modern machine learning and LLM-powered projects.
Letta is an open AI platform for building stateful agents with advanced memory, learning, and self-improvement capabilities. It enables the creation of intelligent agents that remember, adapt, and evolve over time.
Weaviate is an open-source vector database designed to store and manage both objects and vectors, enabling combined vector search with structured filtering. It offers fault tolerance, scalability, and is built as a cloud-native, developer-friendly solution for semantic search and AI-powered applications.
Video-based AI memory library for storing millions of text chunks in MP4 files with lightning-fast semantic search, eliminating the need for a traditional database.
The top three are Chroma(27.4k stars), Letta(22.0k stars), Weaviate(16.0k stars). All are open source and free to use.
Yes. Every tool listed here is open source and free to use in your own projects. Many can be self-hosted on your own infrastructure, which means no subscription fees and full control over your data.
Many of the alternatives listed are self-hostable. Each tool's page lists hosting details, system requirements, and licensing terms.
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