Cloud-native
A transactional operating-system update client that boots and upgrades hosts from OCI container images, enabling image-mode Linux systems with rollback and in-place updates.
An open-source, cloud-native software factory for building, testing, signing, scanning, attesting and releasing trusted software artifacts.
A Kubernetes model-serving platform that provides custom resources and control-plane components for predictive and generative inference, including autoscaling, routing, rollout, preprocessing and explainability workflows.
A Kubernetes-native policy layer for Gateway API that connects, secures, protects and observes application endpoints through DNS, TLS, authentication, authorization and rate-limit policies.
An Envoy-based, Kubernetes-native gateway for federating Model Context Protocol servers and applying identity, authorization, rate-limiting and related policy through Istio and Kuadrant mechanisms.
An open-source, Kubernetes-native stack for distributed large-language-model inference, combining engines including vLLM and SGLang with routing, caching, autoscaling and deployment recipes across accelerators.
An open-source agent-memory layer with MCP access, semantic retrieval, version history, scoped authorization, curation controls and audit logging. It offers a local SQLite edition and a cluster deployment for OpenShift AI backed by PostgreSQL and pgvector.
An open-source AI platform for Kubernetes and OpenShift that integrates components for data science workbenches, pipelines, model serving, training and AI platform operations.
Open source
An open-source behavioral-compliance framework for testing whether AI agents stay within their declared capabilities. It generates in-scope, out-of-scope and near-miss probes from an agent card, scores responses with an LLM judge, and can cross-check MLflow traces for undeclared or anomalous tool use.
An MCP server for Ansible development workflows, exposing linting, workspace inspection, project scaffolding, environment management, and execution tools to MCP-compatible AI clients.
An open-source, community-governed framework for translating AI governance policies into risk mappings, safety tests, mitigation recommendations and deployment-ready controls with an auditable policy-to-production trail.
An open framework for building developer portals, including a software catalog, templates and extensible plugins for developer self-service.
A family of IBM-developed foundation models for enterprise AI tasks, including decoder-only generative models and related model families, distributed with model-specific documentation, safeguards, and licensing terms.
An open-source framework and command-line workflow for aligning and tuning language models with community-contributed taxonomy data. The archived core repository records the project's refactoring toward a framework SDK, with synthetic-data generation and training moved into dedicated repositories.
A Kubernetes-native platform for centrally orchestrating chaos experiments across Kubernetes and OpenShift clusters, with multicluster targeting, role-based access, visual Chaos Studio workflows, and Open Cluster Management or Red Hat Advanced Cluster Management integration.
A daemonless container engine for managing OCI containers, pods and images, with local workflows that interoperate with Kubernetes.
An open-source, AI-assisted quality-engineering framework that turns Jira tickets or GitHub issues into test plans, test descriptions and generated test implementations through configurable agents, commands and skills for Claude Code and Cursor.
A cloud-native, container-first Java framework designed for fast startup, low memory use and Kubernetes deployments. Quarkus supports JVM and native executables and unifies imperative and reactive programming models.
An open-source tool for pulling, running and serving AI models through container-oriented workflows. It detects available accelerators, selects matching OCI runtime images, supports multiple model registries, and defaults local model execution to isolated rootless containers.
A composable Python framework for building synthetic-data generation pipelines for language models from LLM, parsing, transformation, filtering and agent blocks assembled as YAML-defined flows.
An open-source software-signing ecosystem for verifying the provenance and integrity of software artifacts. Its projects include Fulcio, Rekor, Cosign and shared client libraries used in cloud-native software supply chains.
A Kubernetes-native continuous delivery framework that defines pipeline, task and run resources for building portable software delivery workflows.
A high-throughput, memory-efficient inference and serving engine for large language models, with an OpenAI-compatible API and deployment patterns for single-node and distributed model serving.
Commercial
A multicluster management product for provisioning and governing Kubernetes fleets, with cross-cluster search, observability, policy, business continuity, networking, virtualization, application management, and GitOps capabilities.
A Kubernetes-native security platform for protecting containerized applications across build, deployment, and runtime with policy, vulnerability management, configuration controls, integrations, monitoring, and operational security workflows.
Red Hat agentic skill packs are subscription-backed capability bundles for AI coding assistants and agent environments. The catalog currently groups workflows for Red Hat customer operations, site reliability, OpenShift cluster management and OpenShift Virtualization.
A generative-AI coding service for producing Ansible tasks, playbooks, and roles from natural-language prompts inside the Ansible VS Code extension, with support for connected model providers and Ansible-focused recommendations.
A supported Red Hat distribution of Apache Camel for building integration applications with enterprise integration patterns, available for Spring Boot and Quarkus, with tooling including HawtIO and Kaoto.
A supported distribution of Keycloak for identity and access management, providing single sign-on, application and service security, authorization services, federation, administration, observability, and an Operator for deployment.
Red Hat's supported build of the OpenJDK Java platform, supplied for developing and running Java applications in Red Hat-supported environments.
A multicluster application-connectivity and API-management product for securing, protecting, connecting, and observing APIs on OpenShift, with gateway policy controls and an MCP gateway for agentic AI applications.
A supported distributed in-memory data store based on Infinispan, offering clustered caches, OpenShift Operator and Helm deployment, Hot Rod clients, REST and protocol endpoints, querying, cross-site replication, and embedded Java use.
A supported, customizable internal developer portal based on Backstage, with a centralized software catalog, templates, TechDocs, learning paths, plugins, access controls, and enterprise deployment and integration guidance.
A supported AI platform for installing and running model-development and inference workloads on bare metal or cloud infrastructure, with validated model and hardware guidance and integration across the Red Hat AI product family.
A supported Jakarta EE application platform for developing, deploying, managing, securing, and tuning enterprise Java applications across standalone, OpenShift, and public-cloud environments.
An enterprise AI platform on Red Hat OpenShift that combines MLOps, GenAIOps and AgentOps capabilities for developing, serving and operating models and agentic applications across hybrid cloud environments.
An enterprise Kubernetes application platform for installing, operating, securing, extending, and observing containerized workloads across datacenter, cloud, edge, virtualization, and AI environments.
A supported cloud development environment for OpenShift that gives developers reproducible browser-accessible workspaces while administrators manage installation, upgrades, security, permissions, performance, and organizational workspace policy.
A supported GitOps implementation for OpenShift based on Argo CD, covering declarative cluster configuration, application synchronization, application sets, multitenancy, access control, progressive delivery, and fleet-oriented agent architecture.
A supported generative-AI assistant for OpenShift that integrates product guidance into cluster operations, with documented installation, model-provider configuration, compatibility, operation, and troubleshooting workflows.
A supported cloud-native CI/CD service for OpenShift based on Tekton, providing Kubernetes-native tasks and pipelines, Pipelines as Code, security and observability controls, a CLI, and operator-managed installation.
A supported Apache Kafka distribution for OpenShift and RHEL, providing deployment and lifecycle tooling, client guidance, an HTTP bridge, console, proxy capabilities, security filters, disaster recovery, and operator-based management derived from Strimzi.