Verse

eve is an AI agent framework for building durable, structured, multi-agent projects from declarative configuration covering instructions, skills, tools, channels, schedules, permissions, and evaluations. Its agents can be developed within a single folder and run through chat surfaces such as Slack or the eve development TUI. Vercel uses eve as the foundation for a marketing-team template with one lead and five specialists: product marketing, content marketing, social media, SEO, and email. The lead loads shared brand context and user preferences, writes self-contained briefs, routes work one level deep, and returns deliverables produced in Notion, Typefully, or Resend; specialists research and edit their own work against written rubrics rather than spawning further agents. The template uses MCP connections for Notion, Typefully, and Resend, Vercel Blob for shared state and files, Vercel AI Gateway for model access, and Vercel Sandbox for reference files and shell commands. Irreversible actions—including email sends, deletes, scheduled social publishing, and Notion page moves—pause for human approval, while the available Resend tools are restricted to keep account administration out of reach. The project is implemented in strict ESM TypeScript and includes commands for local development, validation, type checking, discovery diagnostics, and deployment.

AgentVerse OS is a personal cloud operating system for a developer and their AI agents, installed on an Ubuntu server and accessed through a browser from a laptop, tablet, or phone. It provides a windowed desktop, isolated project workspaces, browser-based VS Code and a terminal, and supports Claude Code and Codex agents whose work remains on the server. Each project runs in an isolated Incus container with Docker inside, its own network and access gate. A Rust core coordinates projects, workspaces, capabilities, applications, backups, and updates; Coder controls the workspaces, Komodo deploys application stacks, Caddy provides the entry points, and Tailscale supplies private access and certificates. Projects request capabilities such as S3 storage, an LLM gateway, or notifications, which the core connects to provider networks and exposes through environment variables. The system includes a store combining catalogs from Runtipi, Coolify, and Umbrel, with guided installation, logs, snapshots, rollback, and application updates. It also supports ZFS snapshots, restic backups, an embedded Svelte desktop PWA, and one-command installation from a release package or source. The project is in alpha, is designed for one person, has no user accounts or permissions yet, and requires a clean Ubuntu installation and a Tailscale account. The repository is licensed under Apache-2.0; store applications retain their own licenses.

Lovable is an AI-powered website and application development platform hosted at lovable.dev. It generates full-stack web applications from natural-language instructions and provides an environment for iterating on code and building consumer or enterprise software.

Arize AI is an AI agent observability, evaluation, and improvement platform. It provides tracing, evaluation, and experimentation, using production signals to support continual improvement of agents. The platform is available through Arize AX and a terminal-based setup.

Viserys is a self-contained pack of Markdown engineering workflows, reviewer personas, validation scripts, commands, and lifecycle hooks for AI coding agents. Its workflow routes development through DEFINE, PLAN, BUILD, VERIFY, REVIEW, and SHIP stages, with 28 skills covering requirements clarification, specification and task breakdown, implementation, test-driven development, debugging, browser testing, review, security, performance, migrations, CI/CD, documentation, observability, and release preparation. The pack also includes four reviewer personas, shared checklists, evaluation cases and fixtures, and validators for skills, commands, artifact paths, reference links, and versions. The repository includes an OpenCode agent definition that registers the skills and routes requests through the lifecycle workflow. The Markdown skills can also be supplied to skill-aware agents such as Claude Code, Cursor, and other agents, or read directly as standalone process documents.