Tag: #agentic-rag
13 packages • ⭐ 59,385 total stars
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade archit
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need throu
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedbac
Nuwax Agent OS - The world's first universal agent operating system, building your private vertical general-purpose agent. 通用智能体操作系统，打造你私有的垂类通用智能体。新一代AI应用设计、开发、实践平台，无需代码，轻松创建，适合各类人群，支持多种端发布及API，提供完善的
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connec
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade o
🤖 Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.
🤖 Orchestrate AI agents at scale using the MCP framework, enabling seamless context sharing, communication, and integration for enhanced collaboration.
🛠️ Install, manage, and share Claude Code skills effortlessly with one command, streamlining your workflow and enhancing team collaboration.
🛡️ Enhance code safety with Claude Code Safety Net, a tool designed to identify and mitigate risks in your codebase effectively.
🔍 Build a production-ready RAG system that combines LangGraph and MCP integration for precise, context-aware AI-driven question answering.
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