Best AI Coding Agent Orchestrators in China - Page 2

Xum is an open-source application for coordinating AI coding agents across software projects. Developers can run multiple agent sessions in parallel, isolate work with Git worktrees, and monitor or review changes through a desktop interface or a browser-accessible server. It brings terminal-based coding agents into a shared workflow for assigning tasks, tracking progress, and comparing parallel contributions. Xum is intended for software developers and engineering teams using AI-assisted development. Users configure compatible agent runtimes and model access for their workflows; charges from external model or inference providers may apply separately.

Conductor lets you run a team of coding agents on your Mac, giving each Claude Code or Codex agent its own isolated workspace so you can parallelize software work without losing control. Add your repo, and Conductor clones it and works entirely on your Mac. Deploy agents, and each one gets a separate git worktree where it can work independently. Then conduct: see who is working, what needs attention, review code, and merge finished branches. Conductor is built around the idea that developers are becoming AI managers, coordinating many agents at once instead of working through a single chat. It supports Claude Code and Codex, with model selection, Plan Mode, Fast Mode, reasoning controls when available, checkpoints, skills, and agent-specific session controls. Plan Mode asks the agent to make a plan before editing files, making it useful for broad, risky, ambiguous, or multi-file changes.

Xirp is an agentic development environment built to give AI coding agents real organizational context instead of guesswork. It connects to your services, ownership, documentation, dependencies, and architectural decisions so every coding session starts grounded in how your systems actually work. Rather than seeing only the file being edited, it understands the larger system around it, including who owns upstream services, what depends on them, and why architectural choices were made. Its Workspace plugin for Spotify Portal keeps work items, sessions, and documentation in one place, preserving context when an engineer finishes a session so it is ready for the next person or agent. Xirp also turns knowledge generated during coding sessions into living documentation that stays current and feeds back into future work. It acts as a harness for the AI model you prefer, allowing teams to switch between Claude, Gemini, and Codex without losing context.

Kandev is an open-source development workbench for coordinating AI coding agents and software tasks. It brings task planning, agent sessions, repository activity, code changes, and review into one workspace, where developers can run agents in parallel, organize work with Kanban and workflow steps, inspect diffs, and review changes before opening or merging pull requests. Users can connect supported coding-agent CLIs or ACP agents and work with repositories through GitHub, GitLab, Azure DevOps, Jira, Linear, and Sentry integrations. Kandev runs locally or on infrastructure the user controls, with CLI, desktop, Docker, and service deployment options. Executors include local, isolated worktree, Docker, SSH, and remote environments; MCP, webhooks, and scheduled automations can coordinate tasks. It is intended for software developers and engineering teams seeking a shared workspace for agent-assisted coding and code review.