Enterprise AI
Enterprise AI applies artificial intelligence to organizational data, workflows, and services. It helps teams automate repetitive work, retrieve and summarize internal knowledge, support decisions, and build assistants that connect to business systems. Deployments must account for security, privacy, reliability, and governance alongside model performance, especially when AI handles sensitive information or takes actions on behalf of users.
Open source tools in this area include AI application platforms, agent frameworks, retrieval and knowledge systems, memory layers, and solutions for monitoring and security. When choosing, assess project maturity, license, maintenance activity, deployment requirements, data controls, and compatibility with existing models and systems. These tools can be useful to engineering, IT, security, and product teams building or evaluating AI capabilities for organizational use.
6 repositories · updated September 28, 2026
Open ACE: Self-Hosted AI Coding Agent Workspace and Governance Platform
Open ACE is an open-source, self-hosted platform designed for managing AI coding agents within enterprise environments. It provides a unified workspace for various AI tools, enabling remote execution and robust governance features for API keys, costs, and compliance. This platform is ideal for organizations integrating AI coding agents into their development workflows, especially those requiring private deployment and centralized control.
Utopia: The Open-Source Enterprise World Model for Knowledge Engineering
Utopia is the world's first open-source enterprise world model, built with Rust. It provides a unique foundation for knowledge engineering, featuring a bitemporal knowledge graph that evolves with new information and supports robust reasoning and decision-making. Designed for self-hosting, Utopia offers companies full control over their knowledge foundation and compliance audit trails.
ADL CLI: Scaffold Enterprise-Ready AI Agents with A2A Protocol
The ADL CLI is a powerful command-line tool designed to rapidly scaffold and manage enterprise-ready AI Agents. It leverages the YAML-based Agent Definition Language (ADL) to generate complete project structures, eliminating boilerplate and ensuring consistent patterns. This tool significantly accelerates the development of AI agents powered by the A2A (Agent-to-Agent) protocol.
holaOS: The Open-Source Agentic Workspace for Enterprises
holaOS is an open-source, local-first agentic workspace designed for enterprises, enabling seamless integration of existing systems, chat tools, and applications with shared memory. It supports various AI agents and models, offering a highly customizable environment where data remains on local machines. This platform simplifies the setup of powerful AI-driven workflows, connecting to over 100 services.
ADR: Uber's Enterprise Security System for AI Agents
ADR (Agentic AI Detection and Response) is an enterprise security system developed by Uber to secure AI agents. It offers critical capabilities like observability, security benchmarking, and threat detection, ensuring the safe operation of both employee and customer-facing AI applications. This open-source project is deployed in production at Uber and was accepted to MLSys 2026.
Memori: Agent-Native Memory Infrastructure for LLM Production Systems
Memori provides agent-native memory infrastructure, offering an LLM-agnostic layer that transforms agent execution and conversations into structured, persistent state. Designed for enterprise use, it seamlessly integrates with existing data infrastructure and supports various deployment environments, ensuring robust memory management for AI agents.