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.

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

VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution

73 paste-ready declarative agents for Microsoft 365 Copilot. No coding. No Azure. Deploy in minutes.

Your commands control the browser - made easy | Chrome Extension and RESTful API for Browser-Use

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.

👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态

A comprehensive guide to Palantir Foundry's Ontology strategy. / 世界最強のデータプラットフォーム「パランティア」の中核概念である『オントロジー』の戦略と実装を解き明かすOSS書籍プロジェクト。

Open-source enterprise AI workforce platform — containerized roles, declarative skills, MCP tools, policy-driven security, K8s-native scheduling

Enterprise-ready self-hosted AI assistant runtime with sandboxed execution, secure credentials, approvals, and memory

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.

Open-source voice agent OS. Rust runtime, AI-driven builder, sub second latency. Self-host everything.

AxonFlow: Runtime control layer for production AI

Turn domain experts into production AI agents.

11 go-to-market skills for AI and technical founders — positioning, pricing, partnerships, enterprise sales, PLG, AI GTM, and board communication.

Streaming reasoning layer for AI. Incremental rules engine with vector search, graph traversal, and explainable derivation traces.

Enterprise-ready solution leveraging multimodal Generative AI (Gen AI) to enhance existing or new applications beyond text—implementing RAG, image classification, video analysis, and advanced image embeddings.

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.

Privacy middleware for LLM & RAG pipelines - consistent pseudonymization, encrypted vault, SSE streaming rehydration.

The project delivers a comprehensive full-stack solution for the Intel® Enterprise AI Foundation on the OpenShift platform to provision Intel AI and Xeon accelerators, integrate AI software, and enable key AI workloads, such as LLM inferencing, training and fine-tuning for enterprise AI. RoCE Network provisioning is also inlcuded.