- Building AI Agents
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- Microsoft expands Copilot agents
Microsoft expands Copilot agents
Plus: Google's new market for AI agent creators, million-agent social simulations, and more

Welcome back to Building AI Agents, your biweekly guide to everything new in the AI agent field!
The year is 2029.
There are more AI sales agents then there are companies.
You open your inbox. All six million AI agents instantly email you the perfectly crafted cold email, cleverly relating to the college you both went to.
Meanwhile, Salesforce just bought me a steak… x.com/i/web/status/1…
— Turner Novak 🍌🧢 (@TurnerNovak)
5:33 PM • Nov 19, 2024
Some AI apocalypse scenarios are scarier than Terminator
In today’s issue…
Microsoft’s new agent feature bonanza
Google’s marketplace for agent builders
A universal protocol for agent communications
Simulating social networks with a million agents
…and more
📰 NEWS

Source: Microsoft
At its Ignite 365 conference, the company announced major expansions of its agentic AI service Copilot, including agents integrated into Teams, SharePoint, and more, third-party agents from providers like ServiceNow and Workday, Copilot Actions to allow Microsoft 365 users to automate everyday tasks, and a control system for IT teams to manage agents company-wide. Some of these are immediately available to users, while others will be rolled out in the coming months.
To help businesses automate processes at an enterprise level, Microsoft also released Azure AI Agent Service, which allows developers to build agents with broad access to company data and applications and deploy them in Azure.
Google Cloud released a marketplace called AI Agent Space, where agent builders can receive guidance and support from the company’s engineers on building and deploying agents, as well as assistance in marketing the resulting products.
The CRO giant launched a suite of tools to help Agentforce engineers safely test their creations and monitor them once deployed, which will be generally available in early December.
Microsoft AI CEO Mustafa Suleyman hinted that the company’s researchers had developed prototypes with nearly infinite memory, just days before Google’s Gemini rolled out a memory feature similar to that used by ChatGPT, indicating that major AI providers see memory as the next frontier in capabilities.
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🛠️ USEFUL STUFF

Source: LangChain
In an effort to standardize communication between agents built in different frameworks, LangChain has released a common protocol intended to be compatible with both its technology and its competitors’.
Scrapybara is a YC-backed startup which offers virtual desktop environments, accessible via an API, for AI agents to automate workflows without requiring users to give them control over their physical computers.
Another new YC company, Abundant, reverses the usual agents-assisting-humans paradigm by providing an API which AI agents can call for remote human assistance when they hit difficult edge cases.
The company released AI Shell, a tool which adds agentic assistance to the Windows terminal to facilitate coding, debugging, and automation.
AWS, LlamaIndex, and Redis are teaming up to host a webinar on agent building using the three companies’ tech.
💡 ANALYSIS

Source: Substack
A long-form overview of all things agents, including architecture, memory, reasoning, and planning, frameworks, evaluations and benchmarking, applications, and more.
This piece argues that Microsoft has built a sizable lead in the agent space over competitors such as Salesforce, powered by its view of agents as part of an interconnected system across the whole enterprise, rather than as isolated individual contributors.
Microsoft’s Stephen Kaufman describes the processes of working with a customer to architect an agentic system that generates Python code to solve a business use case.
A piece from Microsoft providing an intro to agents and describing what the company’s newly released features—see above—mean for the world of work, including for non-developers.
🧪 RESEARCH

Source: ArXiv
The authors of this paper simulate the dynamics of online social networks, including misinformation spread and group polarization using up to 1 million AI agents.
Thanks for reading! Until next time, keep learning and building!
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