Topics / #hnsw

Hnsw projects on GitHub

Hierarchical graph index enabling fast approximate nearest neighbor search.

As of , the most-starred Hnsw projects on GitHub are milvus (46.4K stars), qdrant (35.1K stars) and weaviate (16.9K stars). GitHub.Locker tracks 6 Hnsw repositories with 128.7K stars combined. The fastest-growing on October 16 was qdrant, with +22 stars in a day.

6Projects
128.7KStars in total
+49Stars in a day
Browse in the catalog →github.com/topics/hnsw ↗

Hot right now

Most stars gained in a day · Oct 16

+22

qdrant

qdrant/qdrant · ★ 35.1K

Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

+11

milvus

milvus-io/milvus · ★ 46.4K

Milvus is a high-performance, cloud-native vector database built to store and search embedding vectors at scale for AI applications like semantic search, RAG, and recommendation systems.

+6

RuVector

ruvnet/RuVector · ★ 4.6K

RuVector is a Rust-native persistent memory substrate for AI agents, combining local vector embeddings, graph relationships, feedback-driven learning, and memory lifecycle controls so agents can remember across sessions.

+5

atlas

pacifio/atlas · ★ 9.6K

Atlas is source control built for coding agents: it records every agent session as a checkpoint linking a commit back to the prompts, tool calls, and reasoning that produced it, and lets you run Claude Code, Codex, its own native agent, or any ACP registry agent side by side with shared memory.

The all-time top

6 projects · by stars

  1. #1 · milvus-io/milvus

    milvus

    Milvus is a high-performance, cloud-native vector database built to store and search embedding vectors at scale for AI applications like semantic search, RAG, and recommendation systems.

    46.4K
  2. #2 · qdrant/qdrant

    qdrant

    Qdrant is a high-performance vector similarity search engine and vector database written in Rust, built to store, search, and manage 'points' (vectors plus a JSON payload) for AI applications like semantic search, recommendations, and RAG.

    35.1K
  3. #3 · weaviate/weaviate

    weaviate

    Weaviate is an open-source, cloud-native vector database: it stores objects and vectors together and lets you combine vector search with structured filtering for semantic search at scale.

    16.9K
  1. 4

    zvec

    16.1Kalibaba/zvec · C++

    Alibaba's open-source, in-process vector database — a lightweight, lightning-fast similarity-search engine you embed directly into your application, battle-tested inside Alibaba Group.

  2. 5

    atlas

    9.6Kpacifio/atlas · Rust

    Atlas is source control built for coding agents: it records every agent session as a checkpoint linking a commit back to the prompts, tool calls, and reasoning that produced it, and lets you run Claude Code, Codex, its own native agent, or any ACP registry agent side by side with shared memory.

  3. 6

    RuVector

    4.6Kruvnet/RuVector · Rust

    RuVector is a Rust-native persistent memory substrate for AI agents, combining local vector embeddings, graph relationships, feedback-driven learning, and memory lifecycle controls so agents can remember across sessions.

Often tagged together