A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
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Updated
Oct 13, 2026 - JavaScript
Qdrant is an open source vector database and similarity search engine written in Rust. It offers production-ready APIs to store, search, and manage high-dimensional vector embeddings with payload-based filtering, powering recommendation engines, semantic search, and AI agent memory systems.
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
A scalable AI chatbot platform built with FastAPI and LangGraph, featuring multi-agent orchestration, multi-tenant vector storage, cross-chat memory, and voice call capabilities through LiveKit integration.
A universal Qdrant table frontend based on transformers.js
CLI + MCP for agent context: a task layer over TickTick, Notion, GitHub, Obsidian & more (RRF retrieval, provenance, reviewed writes, undo) plus a knowledge-graph layer — ats kg: facts from any source, human-ratified. Recommended engines: Graphiti (server), LadybugDB (embedded).
Javascript client library for the Qdrant vector search engine
Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query
Helper package to spin-up a Qdrant instance without Docker
Resilient recommendation System for news
주식 투자 기초 학습, 시장·기업 분석, 포트폴리오 최적화 및 KRX 백테스트를 제공하는 웹앱
A semantic and full text search engine UI written in Astro and SolidJS
Dockerized AI Chatbot is an open-source project that provides a chatbot powered by artificial intelligence, specifically built using OpenAI's GPT-3 (Language Model) for natural language processing and understanding
🧠 Local memory plugins for OpenClaw — checkpoint injection, Qdrant semantic recall, auto-capture. Your memories stay on your machine.
Your personal knowledge engine in a popup with Qdrant
A self-hosted enterprise search engine that ingests any file type, retrieves with true hybrid search, links everything in a rich knowledge graph, and answers questions locally with verifiable citations — all offline, zero API cost.
OSINT Investigator is a Chrome Extension & Discord Bot that captures and vectorizes web content and Discord messages for semantic search using Qdrant. Ideal for OSINT, cybersecurity, and AI-powered data retrieval.
Full-stack cloud document management system featuring an independent AI RAG microservice for natural language Q&A. Handles secure AWS S3 external storage, controlled file sharing, built-in previews, and access analytics.
LocalDoc RAG: browser-only local document RAG for PDF/TXT/DOCX/CSV chat with Ollama, Qdrant, and plain JavaScript.
Created by qdrant
Latest release 15 days ago