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A practical guide to building enterprise AI agents across their full lifecycle.

Activation & Lifecycle State Maintenance Toolkit

Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..

Home for Cluster API, a subproject of sig-cluster-lifecycle

Application lifecycle orchestration

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️

An open, collaboratively-built repository for AI-assisted scientific research — collecting and curating agents, skills, workflows, tools, and best practices across the full research lifecycle. 面向 AI 辅助科研的开放共建仓库 收集和沉淀科研全流程中的 agents、skills、workflows、tools 与最佳实践

Kotlin Multiplatform lifecycle-aware business logic components (aka BLoCs) with routing (navigation) and pluggable UI (Jetpack Compose, SwiftUI, JS React, etc.)

SDK for automating Ghidra from Python, Rust, and C++. Decompile, rename, annotate, inspect symbols/types/xrefs, and manage project lifecycle programmatically - treat Ghidra like infrastructure, not just a GUI.

an application that automates the lifecycle of servers

Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.

Katello integrates open source systems management tools into a single solution for controlling the lifecycle of your machines.

A docker-powered PaaS that helps you build and manage the lifecycle of applications

Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).

The Dogtag Certificate System is an enterprise-class Certificate Authority (CA) which supports all aspects of certificate lifecycle management, including key archival, OCSP and smartcard management.

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

Open-source, self-hosted CMS platform on AWS serverless (Lambda, DynamoDB, S3). TypeScript framework with multi-tenancy, lifecycle hooks, GraphQL API, and AI-assisted development via MCP server. Built for developers at large organizations.

Interactive React Lifecycle Methods diagram.

IBM Cloud Paks are enterprise-grade containerized software by combining container images with enterprise capabilities for deployment in production use cases with integrations for management and lifecycle operations. Features such as pre-configured deployments based on product expertise, rolling upgrades, and management of production workloads.

🎞️ Lifecycle-driven motion primitives for React enter, leave, and list animations.

IOS Professional Performance Testing Tool . You can get CPU, GPU, Memory , Lifecycle and other metrics from real iOS devices . iOS 性能测试工具

One language, one binary, the entire development lifecycle.

APIOps applies the concepts of GitOps and DevOps to API deployment. By using practices from these two methodologies, APIOps can enable everyone involved in the lifecycle of API design, development, and deployment with self-service and automated tools to ensure the quality of the specifications and APIs that they’re building.

Apify SDK for Python—The official library for building Apify Actors: serverless cloud programs for web scraping, browser automation, data processing, and AI agents. Manages the Actor lifecycle, storages (datasets, key-value stores, request queues), events, proxies, and pay-per-event monetization. Built on top of the the Apify API Client.

CAAPH uses Helm charts to manage the installation and lifecycle of Cluster API add-ons.

Manage the lifecycle of Temporal Workers

Package manager for things. Start designing modular hardware! PartCAD is the standard for documenting manufacturable physical products (a.k.a. Digital Thread or TDP). It comes with a set of tools to maintain product information and to facilitate efficient and effective workflows at all product lifecycle phases, boosted by AI.

Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.

AI lifecycle platform where engineers and agents track experiments, train models, and ship to production.

Platform for building and running AI agents across the full lifecycle — build, test, deploy, monitor, improve. Hosts your agents, runs their tools, and coordinates them over an event mesh, with sessions, artifacts, auth, evaluators, and observability built in.