Give people and AI agents one place to work together.

A useful collaboration system remembers more than the latest message. In Wujie Harness, a channel gives the team a shared place for the request, references, decisions, and open questions.

When the context changes, the work can change with it. The team does not need to copy a conversation into a separate task tool before an agent can start.

• Discuss the goal and constraints in a channel.
• Keep decisions and supporting material next to the work.
• Give agents the context that people have already agreed on.

A discussion becomes useful when someone—or something—can own the next action. Wujie Harness lets a team create an issue from the conversation, define the expected result, and assign it to a person or agent.

The issue provides a durable boundary around the work: what needs to happen, who is responsible, what is blocked, and what still needs review.

• Create an issue without losing the original context.
• Assign work to a human teammate or an AI agent.
• Track progress, blockers, handoffs, and completion in one place.

An AI agent is more useful when it can act inside the team’s workflow instead of replying in isolation. Wujie Harness connects the agent to the issue, the selected runtime, the available skills, and the review step.

People remain responsible for the goal, judgment, and authorization. Agents handle the execution that fits the permissions and operating boundaries set by the team.

AI collaboration needs a clear ending. A result is not complete just because an agent produced an answer. The team can review the output, request another pass, close the issue, and keep the useful process for later work.

Over time, the organization accumulates searchable work memory: not only what was delivered, but also the context and decisions that made the result possible.