Manage projects with people and AI agents on the same team.

A project needs a shared outcome, scope, history, and definition of done. Wujie Harness keeps those elements together so every person and agent starts from the same context.

Instead of asking an assistant to remember the project, the project itself becomes the durable source of context for the work that follows.

• Organize related issues inside a project.
• Keep goals, references, decisions, and constraints visible.
• Give every assignee the same current context.

AI task management becomes useful when agents can own bounded work rather than only suggest a next step. In Wujie Harness, an issue can be assigned to a teammate or an agent with a clear result and review path.

The team can see who owns the work, what is running, what is blocked, and what still needs a human decision.

Project work often begins in conversation. A channel keeps the request and its discussion together; an issue turns the decision into owned work; the agent runtime carries out the execution; review closes the loop.

This gives project managers and team leads a visible path from intent to result without reconstructing status from scattered chat messages.

• Create trackable work from team conversations.
• Follow agent progress, handoffs, failures, and blockers.
• Require human review before important work is complete.

Completed projects leave behind more than a status change. Wujie Harness keeps the context, actions, decisions, and review together so the next project can reuse a proven approach.

The result is a project management system that gets more useful as people and agents complete more work inside it.