お知らせ • May 08
Atlassian Corporation Announces Opening of Teamwork Graph and Unveils New Ai Capabilities
Atlassian Corporation announced the opening of its Teamwork Graph, one of the industry’s richest maps of how teams actually work, so Rovo and agents from across the ecosystem can search, reason, and act securely across tools and teams. Rovo is already used by over 75% of Fortune 500 companies and 90% of Atlassian’s enterprise cloud customers. With over 150 billion connections, the Teamwork Graph is the context engine behind AI-native teamwork, connecting people, work, goals, code, and content across Atlassian and connected apps. Atlassian is making that context accessible everywhere: Teamwork Graph tools in MCP (open beta). The Rovo MCP Server gives any Model Context Protocol-compatible AI client, such as Figma and Replit, a standard, secure way to access the context held within the Teamwork Graph, so agents and automations operate with full awareness of people, work, relationships, and changes. Teamwork Graph CLI (open beta). A command-line interface that gives any coding agent, like Anthropic’s Claude Code and OpenAI’s Codex, a unified way to access the full context within the Teamwork Graph, right where developers build. Developers get fast, structured access to everything that’s happening, while admins retain tight control over scopes and permissions. In the last month alone, customers have performed more than 14 million Rovo-assisted actions, with agentic automations up 7x in the last six months. With newly announced capabilities, Rovo now empowers builders everywhere and moves from assistive AI to autonomous agents that help carry the work: New Rovo Studio experience (generally available). The new Rovo Studio experience gives the whole team a single workspace to put AI to work, designing agents, automations, and custom apps using natural language, all with built-in governance. Max mode in Rovo Chat (coming soon). Max mode is a new capability that lets users hand off complex, multi-step asks directly from Rovo Chat. It breaks work into an action plan, coordinates autonomously across Atlassian and connected SaaS apps, and corrects as needed to deliver complete outcomes. Atlassian brings context-aware agents to where people already work, so teams can grow into AI-native workflows over time. Across its System of Work, Atlassian is introducing: Agents in Jira (generally available). Teams can assign work to agents, @mention them in comments, and embed them directly into Jira workflows and automations, turning agents from scattered experiments into accountable teammates. Remix with Rovo (available in beta) + Confluence slides (coming soon in beta). Any content block in Confluence, like text, tables, or lists, can now be reshaped into infographics, charts, databases, slides, and more without leaving the page. Teams can consume complex information in the format that suits them while keeping one trusted version of the source content. DX AI Experience (generally available). DX now delivers new capabilities that let teams measure where AI is generating code, how agents are performing, and the return on investment, turning AI from a black box into a measurable part of the software development lifecycle. Product Collection (early access). Product teams can now go from signal to shipped work in a single, connected system. The Product Collection brings together Jira Product Discovery, the Feedback app, a planned Pendo integration, and more so teams can capture feedback, prioritize ideas, and track delivery without hopping between disconnected tools. Dia. Dia brings AI to the browser, proactively surfacing a daily morning brief to help users prioritize work based on emails, messages, calendar changes, Teamwork Graph context, and all browser usage. Dia is now ready for teams of all shapes and sizes to try, with prompt-injection defenses, single sign-on, Chromium MDM support, and SOC 2 Type II attestation.