#Enterprise-ai
Showing 24 of 24 repositories tagged #enterprise-ai, ranked by stars
Arkon: Enterprise AI Knowledge Hub & MCP Server. Self-hosted knowledge base for teams to manage RAG contexts, access policies, and AI skills. Connect Claude and other LLMs via Model Context Protocol (MCP) for automated, secure organizational knowledge integration.
企业级 AI 资源纳管平台，提供统一 AI网关，纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型，并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表，帮助企业精准控制成本、量化 ROI，高效治理 AI 资产。
The definitive Microsoft 365 Copilot prompt library for business teams. 400+ prompts for Office apps, Copilot Studio, security operations, and enterprise deployment. Battle-tested in production environments
78 paste-ready declarative agents for Microsoft 365 Copilot. No coding. No Azure. Deploy in minutes.
面向 OA、ERP、CRM、工单等企业系统快速构建智能体，让 AI 在权限、审计与治理约束下安全调用真实业务能力。Build agents quickly for enterprise systems such as OA, ERP, CRM, and ticketing, enabling AI to safely call real business capabilities under permissions, audit, and governance controls.
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
qKnow is an open-source intelligent agent platform for enterprise knowledge and industry AI. It unifies documents and data via Knowledge Graphs and RAG, enabling businesses to rapidly build knowledge hubs, smart Q&A, and custom AI bots.
Enterprise-ready Spring AI platform for RAG, tool calling, async ingestion, JWT/RBAC security, and observability.
This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.
Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory
Open-source voice agent OS. Rust runtime, AI-driven builder, sub second latency. Self-host everything.
82 ready-to-deploy Microsoft Copilot Chat agents — paste the instruction block into Copilot Studio and you're live. Writing, HR, PM, IT ops, Sales, Finance, Engineering & more. RAI reviewed, source-quality labelled, tested. No coding required.
Continuum — the agent runtime by ShyftLabs. Build, orchestrate, ship.
World-class multimodal RAG system for financial document analysis. Built to production standards: async, observable, secure, multi-tenant, CI-gated.
AISecOps (AI Security Operations) framework for deterministic verification of AI systems. QWED verifies LLM outputs using math, logic, and symbolic execution — creating an auditable trust boundary for agentic AI systems. Not generation. Verification.
Turn domain experts into production AI agents.
Privacy middleware for LLM & RAG pipelines - consistent pseudonymization, encrypted vault, SSE streaming rehydration.
Multi-Modal RAG for .NET — query databases, documents, images and audio in natural language. Production-ready with multi-AI support, vector storage, and multi-database coordination.
930+ AI-powered skills and 31 agent plugins for Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, and Perplexity Computer. The largest open-source AI skills library.
Enterprise-grade prompt engineering toolkit: Distilled best practices, production-ready meta-prompts, and a professional AI agent that transforms simple requirements into battle-tested prompts.
Spring AI framework for Java that plans, executes, and improves itself — agents detect capability gaps at runtime and generate validated skills on the fly.
Autonomous AI skill improvement through iterative experimentation — inspired by Karpathy's autoresearch. An agent mutates skill instructions, evaluates against objective metrics, keeps improvements, reverts regressions. No human in the loop.
Production operations framework for AI-powered SaaS. The architectural patterns, failure modes, and operational playbooks that determine whether your AI systems scale profitably or fail expensively.