GitHub repo leaderboard by stars, growth rate and activity.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
Distributed vector search for AI-native applications
XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. | Rust | 59,253 | last pushed 12 hours ago | |
| 2 | Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ | Rust | 34,492 | last pushed 4 hours ago | |
| 3 | Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database. | Go | 16,801 | last pushed 7 hours ago | |
| 4 | One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension. | Rust | 9,251 | last pushed 42 minutes ago | |
| 5 | The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text. | C++ | 4,706 | last pushed 2 days ago | |
| 6 | The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable. | C++ | 2,924 | last pushed 46 minutes ago | |
| 7 | A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus. | Python | 2,588 | last pushed 2 hours ago | |
| 8 | Distributed vector search for AI-native applications | Python | 2,325 | last pushed 2 months ago | |
| 9 | XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work. | Rust | 1,909 | last pushed 2 hours ago |
All · 11,658