Qdrant Python Packages

qdrant-client

Python client for Qdrant vector search engine

docarray

Represent, send, store and search multimodal data

fabri

Local memory + orchestration layer for custom LLM agents: SCOPE-style tactical/strategic memory over execution traces, Qdrant-backed, polyglot subprocess tools, agent-as-tool composition.

vaultspec-rag

GPU-accelerated semantic search for your docs and source code - hybrid dense + sparse RAG on a local Qdrant backend, served to Claude Code and other MCP clients. The search companion to vaultspec-core.

mnemostack

Durable hybrid memory for AI agents: vector + BM25 + temporal + graph recall, exposed through MCP, HTTP, and Python.

skmemory

Universal AI Memory System — Git-based multi-layer memory with vector search integration.

raggity

Local-first, top-tier RAG over your notes, docs & PDFs — answered by Claude (Agent SDK). Hybrid retrieval + cross-encoder rerank + verified citations; CPU-first & cross-vendor; CLI + FastAPI; LanceDB/Qdrant. AGPL-3.0.

vector-inspector

The missing developer tool for working with vector databases. A comprehensive desktop app for visualizing, querying, and managing vector data.

aquiles-rag

Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs

cursor-mem0

mem0-compatible AI agent memory via Cursor SDK (CURSOR_API_KEY). Local embeddings, Qdrant, MCP for Cursor IDE.

embex

High-performance infrastructure libraries built in Rust, with seamless bindings for Python, Node.js, and WebAssembly.

openframe-adapters

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

memory-agent

A Python library for advanced memory management in AI agent applications

ragwire

Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication.

openframe-adapters-db-mongo

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

openframe-adapters-db-postgres

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.

anytype-llm-wiki

A local-first, typed LLM wiki on Anytype — a second brain for humans and AI agents, over MCP.

vector-etl

Lightweight ETL Framework for Vector Databases

code-weaver

Semantic code search for AI agents — 166+ languages, hybrid search, works offline

okazaki

🐺 Github Automation Package in Python Powered By AI.

claude-kb

MCP server + knowledge base over Claude Code conversation history. Hybrid dense+sparse search via Qdrant.

osintgpt

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

annal

Semantic memory server for AI agent teams. MCP server, ChromaDB or Qdrant, local ONNX embeddings.

openframe-adapters-queue-kafka

OpenFrame adapter packages — database and queue drivers implementing openframe-core ports across relational, document, vector, time-series, and graph backends.