Topics / #hybrid-search

Hybrid-search projects on GitHub

Search engines combining vector and keyword retrieval.

As of , the most-starred Hybrid-search projects on GitHub are meilisearch (59.6K stars), quivr (39.6K stars) and qdrant (35.1K stars). GitHub.Locker tracks 16 Hybrid-search repositories with 330K stars combined. The fastest-growing on October 17 was xerj, with +864 stars in a day.

16Projects
330KStars in total
+993Stars in a day
Browse in the catalog →github.com/topics/hybrid-search ↗

Hot right now

Most stars gained in a day · Oct 17

+864

xerj

xerj-org/xerj · ★ 8.3K

XERJ is a local-first search engine that automatically indexes any folder - code, docs, logs, PDFs - so an AI coding agent can pull the exact passage it needs instead of grepping or reading whole files into context, and it speaks the Elasticsearch API so existing clients work against it unchanged.

+36

agentmemory

rohitg00/agentmemory · ★ 29.6K

Persistent memory for AI coding agents: it captures what your agent does, compresses it into searchable memory, and injects the right context when the next session starts, so you stop re-explaining your project to Claude Code, Cursor or Codex.

+20

qmd

tobi/qmd · ★ 30.5K

QMD is an on-device search engine for your personal knowledge: it indexes markdown notes, meeting transcripts, documentation and knowledge bases, and searches them with keywords or natural language.

+15

supermemory

supermemoryai/supermemory · ★ 31.3K

Supermemory is a memory and context engine for AI: it learns from your conversations, extracts facts and builds user profiles, so your AI remembers you between sessions instead of starting from zero.

The all-time top

16 projects · by stars

  1. #1 · meilisearch/meilisearch

    meilisearch

    Meilisearch is a fast, open-source search engine that adds AI-powered hybrid search (combining full-text and semantic search) to websites and apps.

    59.6K
  2. #2 · The-Vibe-Company/quivr

    quivr

    Quivr is an open-source engine that turns your files and content streams into search and monitoring — a 'second brain' you can query, built around an opinionated RAG powered by generative AI.

    39.6K
  3. #3 · 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
  1. 4

    supermemory

    31.3Ksupermemoryai/supermemory · TypeScript

    Supermemory is a memory and context engine for AI: it learns from your conversations, extracts facts and builds user profiles, so your AI remembers you between sessions instead of starting from zero.

  2. 5

    qmd

    30.5Ktobi/qmd · TypeScript

    QMD is an on-device search engine for your personal knowledge: it indexes markdown notes, meeting transcripts, documentation and knowledge bases, and searches them with keywords or natural language.

  3. 6

    FastGPT

    29.8Klabring/FastGPT · TypeScript

    FastGPT is an AI agent building platform: a knowledge-based platform on top of LLMs with out-of-the-box data processing, model calling, RAG retrieval and visual workflow orchestration, aimed at building complex question-answering systems without heavy setup.

  4. 7

    agentmemory

    29.6Krohitg00/agentmemory · TypeScript

    Persistent memory for AI coding agents: it captures what your agent does, compresses it into searchable memory, and injects the right context when the next session starts, so you stop re-explaining your project to Claude Code, Cursor or Codex.

  5. 8

    weaviate

    16.9Kweaviate/weaviate · Go

    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.

  6. 9

    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.

  7. 10

    claude-context

    12.6Kzilliztech/claude-context · TypeScript

    Claude Context is an MCP server that gives AI coding agents semantic search over your entire codebase, so they can pull relevant code straight into context instead of loading whole directories.

  8. 11

    orama

    10.6Koramasearch/orama · TypeScript

    Orama is a complete search engine and RAG pipeline that runs in your browser, on a server or at the edge, with support for full-text, vector and hybrid search.

  9. 12

    xerj

    8.3Kxerj-org/xerj · Rust

    XERJ is a local-first search engine that automatically indexes any folder - code, docs, logs, PDFs - so an AI coding agent can pull the exact passage it needs instead of grepping or reading whole files into context, and it speaks the Elasticsearch API so existing clients work against it unchanged.

  10. 13

    docker-agent

    4.6Kdocker/docker-agent · Go

    Docker Agent is a tool for building, running, and sharing AI agents using a declarative YAML config, with built-in tools and multi-agent orchestration — no code required.

  11. 14

    m_flow

    4.5KFlowElement-xinliuyuansu/m_flow · Python

    M-flow is a bio-inspired cognitive memory engine that acts as a new paradigm for Graph RAG: instead of just retrieving similar text chunks, it builds a graph of memories and scores answers by the strongest chain of evidence connecting the query to the content, the way human recall works.

  12. 15

    Athena-Public

    618winstonkoh87/Athena-Public · Python

    Athena is a local-first memory layer for AI coding agents: it stores your working context as plain Markdown files on your own disk so any model or IDE can pick up where the last one left off.

  13. 16

    memex

    267nicosuave/memex · Rust

    Memex indexes your local coding-agent conversations (Claude Code, Codex, Cursor, and more) so you can search past work, read original transcripts, and resume sessions in the original tool.

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