An open framework for building developer portals, software catalogs, templates and paved-road developer experiences; upstream of Red Hat Developer Hub.

A cloud-native software factory for building, testing and releasing trusted software artifacts, integrating Kubernetes-native CI/CD and software-supply-chain controls.

A Kubernetes-native platform for standardized, scalable deployment of predictive and generative AI inference workloads across multiple serving frameworks.

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.

A Kubernetes-native distributed inference stack for large language models, combining scheduling, routing, cache-aware serving and accelerator-oriented deployment components.

An open-source AI platform for Kubernetes and OpenShift that integrates components for data science workbenches, pipelines, model serving, training and AI platform operations.

An incubating CNCF project and open-source framework for creating portable cloud-native CI/CD systems across vendors, languages, cloud providers and on-premise environments.

Cloud-native framework that provides Kubernetes-style resources for declaring and running container-based CI/CD pipelines, with reusable tasks and portable pipeline definitions.

The code-understanding phase of an agentic software-factory reference build for analyzing and modernizing legacy code, published by the Red Hat AI Americas field organization.

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.

Open-source, community-governed framework for turning organization-specific AI governance policy into traceable safety tests, recommended controls and deployment-ready configurations, with human review throughout the policy-to-production workflow.

Policy-driven CLI that converts AI-agent red-team scenario YAML into platform-specific artifacts, validates their structure and records coverage gates. Garak is supported; AgentDojo and PyRIT are planned.

An open-source pipeline that converts unstructured AI policy documents into evidence-grounded risk mappings across AI Risk Atlas Nexus and related governance taxonomies.

Transactional operating-system deployment and upgrade tooling that uses OCI container images as the delivery format for bootable Linux systems.

An open-source document-processing toolkit that converts PDFs, office files, web formats and images into structured representations for generative-AI, search and data pipelines.

OpenShift AI 3.5 quickstarts for converting PDFs, images and web pages with Docling and using the output in batch, event-driven, RAG and agent workflows.

An Apache-2.0 linter and security auditor for AI coding-agent harnesses. It auto-discovers instructions, skills, hooks, subagents and MCP configurations, builds a cross-component graph, and checks structural, quality, cost and security risks with deterministic rules.

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.

An open-source, stateless OAuth/OIDC adapter that sits between MCP clients and an upstream identity provider, exposing MCP authorization discovery and compatibility endpoints while leaving authentication and token issuance to the IdP.

An Apache-2.0 local stdio MCP server that uses the OAuth 2.0 client-credentials grant to connect autonomous agents, background services and CI/CD jobs to OAuth-protected remote MCP servers without an interactive user flow.

A Kubernetes-native agent-memory component for OpenShift AI, with an MCP-facing service and SDK for storing, retrieving, relating and curating agent memories.

A Kubernetes-native shared-memory component for AI agents on OpenShift AI, with MCP access and project, session, relationship and governance operations.

A red-teaming framework for AI agents that intercepts tools and data sources, injects controlled attacks, and grades both task utility and resistance to prompt injection using simulated or sandboxed environments.

An open-source AI assistant and agent runtime that runs on user-controlled hardware, connects to chat channels, and exposes a gateway for models, tools, skills, plugins and device nodes. Red Hat is sponsoring the foundation and contributing upstream work aimed at OpenShift AI integration, runtime security and production operations.

Open-source AI application server and Python library that presents OpenAI-, Anthropic- and Google-compatible APIs over pluggable inference, vector-store, file, moderation, tool and agent-orchestration providers. It can run locally or as an HTTP service and is used in Red Hat OpenShift AI RAG examples.

An open-source runtime for autonomous AI agents that enforces sandbox policy over filesystem, system-call and network access, injects credentials only for approved endpoints, and can deploy its gateway on Kubernetes. OpenShift AI 3.5 includes OpenShell as a Developer Preview integration.

A daemonless tool for managing OCI containers, images and pods on Linux, with local development workflows and remote clients for macOS and Windows.

An AI-assisted quality-engineering framework for test planning and code generation, with a dashboard and deployment assets for review-driven QE workflows.

An Apache-2.0 Kubernetes-native Java framework for building cloud applications with fast startup, a compact runtime footprint and reactive programming support.

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.

Open-source collection of packaged AI skills for Red Hat platforms, organized for SRE, developer, virtualization, OpenShift administration, AI engineering, automation and general Red Hat workflows.

An Apache-2.0 collection of production-oriented AI skill packs for Red Hat platforms, covering SRE, application development, virtualization, OpenShift administration, AI engineering, automation and general RHEL operations. The repository publishes downloadable packs and documents validation and credential-handling requirements.

An Apache-2.0 field reference for deploying and managing Red Hat OpenShift AI configurations with Argo CD. It is a community field build rather than a supported Red Hat product.

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.

An Apache-2.0 multi-agent orchestration engine for composing agents, models, tools and retrievers. It supports local LangGraph and distributed Temporal execution, enterprise RAG, A2A and MCP, plus a visual blueprint builder.

An Apache-2.0 high-throughput, memory-efficient inference and serving engine for large language models, used in Red Hat's model-serving stack and related upstream work.

Developer Preview pack of five self-contained agent skills for Red Hat customers covering CVE guidance, diagnostics, product lifecycle checks and support-case severity, with optional Red Hat Lightspeed MCP integration.

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 subscription-backed catalog of curated capability packs that add Red Hat product and infrastructure expertise to AI coding agents, with human-in-the-loop safeguards for critical operations.

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 distribution of the Kubernetes-native Kueue job-queueing system for OpenShift. It controls when batch and AI workloads start, wait, or are preempted, and can account for Dynamic Resource Allocation device classes and partitionable GPU capacity.

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.