Tag: #chromadb
23 packages • ⭐ 69,445 total stars
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future ses
AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, a
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data fro
The Go client for Chroma vector database
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenA
🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited briefings, and drafts tailored emails with tool‑chaining, memory, tests, and turnkey Dock
Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.
YouTubeGPT is an LLM-based web-app that can be run locally and allows you to summarize and chat (Q&A) with YouTube videos.
Remote MCP server for ChromaDB
✍️ Revise and enhance novels with ReNovel-AI, your smart tool for story reimagining and memory-driven writing assistance.
Local-first AI assistant — 9 specialized agents (code, web, debug, security…), 10M token vector memory, mobile relay via secure tunnel, real-time web search and document processing. Runs 100% on your
🤖 Build a smart AI assistant that learns from any website using a Retrieval-Augmented Generation framework with local models powered by Ollama.
🤖 Transform internal knowledge retrieval with a secure, on-premise RAG-powered chatbot that enhances efficiency through natural language queries.
🤖 Build your own local Retrieval-Augmented Generation system for private, offline AI memory without ongoing costs or data privacy concerns.
🚀 Build an enterprise-ready RAG system to enhance technical documentation querying with LangGraph and multi-step reasoning workflows.
🧠 Enhance LLM agents with an agentic memory system, featuring automatic note construction, dynamic memory updates, and intelligent semantic retrieval.
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Enable AI agents to retain memory across sessions using persistent storage designed for continuous context retention.
Provide context-based, accurate answers to syllabus questions using AI powered by Retrieval-Augmented Generation for effective student learning.
🤖 Build AI and Gen AI agents using Model Context Protocol (MCP) with hands-on projects and practical tools like LangChain and CrewAI.
Syllabus-aware RAG study assistant for university students. Answers strictly from your own notes & PDFs, unit-scoped retrieval, cross-encoder reranking, and a hallucination gate — built to help studen
Demo RAG API (FastAPI, OpenAI, ChromaDB, Docker) automatically generated using the OpenAI Codex CLI tool. Highlights Codex's capability for rapid, complex application development.