Kiro Crew

Kiro is a proprietary agentic integrated development environment and command-line interface from Amazon Web Services. It supports specification-driven development, steering files, hooks, and cloud deployment, and uses Anthropic models through Amazon Bedrock.

Rakazo is an open-source platform for running persistent AI teammates. Each bot has conversations, memory, routines, and history, and can access a browser, terminal, files, and a graphical desktop. Users can access bots through the web app, Electron desktop app, or Expo mobile app, and can take control of the graphical desktop when needed. The platform supports shared team computers and isolated private computers, bot delegation to peer bots or short-lived subagents, voice interaction, and user-provided model credentials through Pi. It can use Docker, E2B, Daytona, Box, or trusted local computers as computer providers, and supports integrations through Composio, Pipedream Connect, MCP, OpenAPI, and Treg sources. Rakazo can be self-hosted with Docker and is also available as a managed application. The repository describes it as being in beta and identifies a TypeScript stack using React, Vite, Tailwind CSS, Electron, Expo, Hono, oRPC, PostgreSQL, Prisma, Better Auth, and Graphile Worker.

Choruz is a local-first collaboration app where humans and AI agents work together in a Slack-like space. Each agent runs a real CLI in its own workspace, preserving that CLI's models, tools, and session capabilities while allowing work to be handed to people or other agents through direct messages, groups, mentions, threads, tasks, and files. It provides isolated company and agent workspaces, dedicated directories or Git worktrees, an integrated terminal, file browser and editor, SSH runtime hosts, and browser-based remote control. It supports Claude Code, Codex, Pi, Grok, OpenCode, and webhook-driven external agents, with REST APIs, WebSocket synchronization, webhook agents, Slack and Telegram bridges, and optional plugins. Choruz is in pre-release development and requires Rust, Node.js, pnpm, PostgreSQL, and at least one supported agent CLI when run from source. Its source code and software documentation are licensed under the MIT License; visual assets have separate licensing records.

Kandev is an open-source, self-hostable AI Kanban and development environment for orchestrating coding agents and reviewing their work. It organizes tasks in Kanban and pipeline views, supports parallel execution and multi-step agentic workflows, and isolates concurrent work with Git worktrees. Its integrated workspace combines a file editor, file tree, terminal, browser preview, chat, and Git changes for reviewing and iterating on agent output. Agents can run through local, Docker, SSH, or cloud runtimes, with support for multiple agent providers; the project also provides configurable workflows, agent profiles, prompts, review gates, scheduled or webhook-triggered automations, and no telemetry.

PI-Desktop is a local-first desktop workspace for AI coding agents, built with Electron, a Rust host core, and the pi Agent Harness. It lets users open local projects, connect cloud or local models through providers such as OpenAI-compatible APIs, manage projects and long-running sessions, and review file changes and command output. Its architecture separates the React renderer, Electron desktop orchestration, Rust-managed permissions, filesystem access, SQLite persistence and secrets, and a pi Agent sidecar responsible for the agent loop, model interaction, and streaming. Agent, Plan, and Goal modes provide different approval boundaries; agents can read and edit files, run commands, and delegate exploration, implementation, research, testing, or review to background Subagents. The workspace supports MCP servers, Skills, installable Plugins, model and provider switching, session imports, notifications, context checkpoints, and a plugin marketplace. Conversations are stored locally as JSONL with a SQLite index, settings and logs remain on the machine, credentials use the operating-system keychain, and model requests go directly to the configured provider or endpoint. Plugin processes are permission-gated and isolated from the renderer, but plugins remain user-trusted code rather than a complete operating-system sandbox. It is an early-preview cross-platform application distributed for macOS, Windows, and Linux under the GNU Lesser General Public License v3.0.