Microsoft has announced a new wave of updates for Copilot Studio, introducing the generally available GitHub Copilot harness alongside new capabilities designed to help agents handle more complex, reasoning-heavy work. The updates also bring reusable agent skills, richer organisational context, memory, connected agents, workflows, and additional tools to help organisations build more capable and scalable AI agents. These updates mark a broader shift in Copilot Studio from building individual agents toward creating more intelligent, extensible agent solutions that can reason, collaborate, access context, and take action across complex business processes.
Here’s what you need to know:
What is GitHub Copilot harness?
The GitHub Copilot harness provides a foundation for building reasoning-heavy agents and workflows that can dynamically determine how to approach a goal. It orchestrates models, context, tools, MCP servers, connected agents, skills, and other capabilities so agents can adapt their execution instead of relying solely on predefined paths.
Enhance Your Agents with Skills, Tools & Connected Agents
Skills provide modular, reusable capabilities, while connected agents can delegate work to specialised agents for more complex scenarios. Workflows and MCP servers can also give agents access to deterministic automation and external services, helping teams build solutions that are more reusable, extensible, and scalable.
Provide Richer Context with Knowledge, Memory & Files
Copilot Studio now offers more ways for agents to understand the organisation, the task, and the individual user through capabilities such as Work IQ, Foundry IQ, memory, and file handling. These capabilities can help agents work with organisational information, remember relevant context, analyse substantial documents, and complete more complex tasks with less repeated input from users.
Explore the Agents' Governance Capabilities
New governance capabilities give administrators greater control through agent-level identity, MCP server certification, and environment-level telemetry. Together, these features provide clearer identity, trusted connections, and deeper operational visibility as organisations scale their use of agents.
Reach Customers Across Voice & Digital Channels
Real-time agents are expanding beyond voice with support for digital messaging channels, allowing organisations to create more consistent customer experiences across interactions. New voice capabilities, including GPT-5 Chat in preview and Application Insights monitoring, also provide more flexibility for custom voice experiences and performance management.
Build Better Agents with More Tools
Copilot Studio continues to expand its model and harness options, including the general availability of Claude Sonnet 5 and GPT-5.5 Chat as primary models. These choices give makers more flexibility to select the right combination of reasoning capabilities and predictable execution for each agent scenario.
What's Next?
These updates represent more than a collection of new features—they provide building blocks for agents that can reason, act, collaborate, use context, and work across complex business processes. The bigger question is no longer just “What can an agent do?” It’s becoming “What work is your organisation ready to give it?”
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