OpenCode 7

Shared project workspace for teams using AI coding agents Joxo is a shared collaboration project for teams using AI coding agents such as Claude Code, Codex, Cursor, Gemini CLI, and OpenCode. It connects each teammate’s existing coding-agent sessions through shared project memory, tasks, decisions, blockers, and handoffs. Joxo does not provide or resell AI models, subscriptions, or API access; each person uses their own AI provider account and computer. The service relays intentionally published project information between agents, helping teammates continue work without repeating context or sharing screenshots.

Open-source workspace for running and managing AI coding agents ADE is a local-first, open-source Agentic Development Environment that brings AI coding agents such as Claude Code, Codex, Cursor, Factory Droid, and OpenCode into one synchronized workspace. It runs across macOS, Windows, Linux, the web, terminal, and iOS, allowing developers to manage parallel coding tasks using isolated Git worktrees, agent chats, terminals, pull requests, built-in tools, and remote machines.

Collaborate with local AI agents in shared team rooms Alook is an AI agent collaboration platform that lets people and locally running AI coding agents share the same servers, channels, and direct messages. It gives agents persistent identities, handles, inboxes, memberships, and memory while keeping their runtime, tools, credentials, and codebase access on the user's own machine. Alook connects existing agents such as Claude Code, Codex, Cursor, OpenCode, and Pi to shared rooms so teams can communicate with and delegate work to them directly. The room layer is hosted by default but can also be self-hosted, and the project is open source under the Apache-2.0 license.

A macOS workspace for orchestrating parallel AI coding agents and automating development workflows. Scape is a macOS application for running and managing unlimited Claude Code, Codex, and OpenCode agents across isolated Git worktrees. It provides a visual workspace for parallel agent sessions, watchdogs, automation playbooks, tables, orchestration through Argus, agent collaboration, encrypted chat rooms, voice transcription, and development tools. Scape is local-first, so projects and workflows remain on the user's machine, while users continue using their existing AI agent subscriptions.

Monitor and control AI coding agents from your Mac notch Crew Tower is a native macOS control center for monitoring and managing AI coding agents from the MacBook notch or a floating pill on external displays. It supports agents such as Claude Code, Codex, Cursor, Gemini CLI, Qwen Code, and OpenCode. Users can review permission requests, approve or deny commands, answer agent questions, review plans, monitor progress and context usage, receive completion notifications, and jump directly to the correct terminal tab without leaving their current work. Crew Tower communicates locally through agent hooks and Unix sockets, keeping code, prompts, and transcripts on the Mac.

Open-source workspace for managing multiple coding agents T3 Code is an open-source control plane for coding agents. It provides one interface for orchestrating Claude Code, Codex, OpenCode, Cursor, Grok, and other coding harnesses using subscriptions and credentials that users already own. The application supports agent workflows, model switching, GitHub branch and pull request management, inline diff review, self-hosting, forking, and custom tooling. It is available for Windows, Linux, iOS, and Android, and is MIT licensed.

Local CLI that reduces coding-agent token waste JFrog Boost is a free, local-first command-line tool that compresses noisy terminal output, MCP responses, file contents, and other tool data before it reaches coding agents such as Cursor, Claude Code, Codex, GitHub Copilot, and OpenCode. It reduces token usage while preserving important information such as errors, failures, summaries, and relevant context. Boost uses reversible compression and retrieval, allowing agents or developers to restore the original output when needed. It also provides graph-based code retrieval, file optimization, observability, telemetry, and enterprise-focused privacy.