Artificial Intelligence (AI) Agents
About Agents
Section titled “About Agents”Source: What Are AI Agents? | IBM
Agents using artificial intelligence combined with sets of goals (instructions), tools, and external functions like API, web search, data access, and other agents. An agentic system can take a task and divide it into sub taskes for itself and other agent and reason on the outputs to give results to the user. The tasks can be complex and involve the agent correcting itself and finding gaps in its knowledge.
Benefits of the approach are task automation, performance, and response quality. Risks are dependencies on external system, reasoning issues, compute resources which can be supported with human supervision.
See Also
Section titled “See Also”- Agent Operations, Checking and Monitoring Them - evaluating AI systems
- AI Prompts
- Develop AI agents on Azure
- Skills to Build AI Agents
Resources
Section titled “Resources”- Awesome Copilot / GitHub - Community-contributed instructions, prompts, agent information, and configurations to help you make the most of GitHub Copilot
- justunsix/dotfiles: My configuration and dotfiles for cross platform Linux, Windows, MacOS · GitHub - example agents
- microsoft/hve-core: A refined collection of Hypervelocity Engineering components (instructions, prompts, agents) to start your project off right, or upgrade your existing projects to get the most out of all Copilots · GitHub
- microsoft/skills - GitHub - Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents