𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗧𝗼𝗼𝗹𝘀 𝗔𝗻𝗱 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀

𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗧𝗼𝗼𝗹𝘀 𝗔𝗻𝗱 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀

AI agents are systems. They use LLMs to think and act.

The agent loop follows a pattern.

• Get task.
• Reason.
• Act with a tool.
• Check result.
• Repeat.

This loop replaces fixed workflows.

Tools are the interface. They are functions with a description. Tools include:

• Web search.
• Code execution.
• Database queries.
• API calls.

Memory provides context. Short-term memory stores the session history. Long-term memory uses vector databases.

Use frameworks for complex builds.

• LangChain.
• CrewAI.
• AutoGen. Use direct API calls for simple agents.

ReAct is a pattern. The agent reasons. It acts. It observes. This logic improves results. It helps with debugging.

Planning agents break big tasks into small steps. They adjust the plan based on results.

Reliability is a challenge. Agents get stuck in loops. They call wrong tools. Keep your agents safe:

• Add human approval for high-risk actions.
• Set step limits.
• Log every action.

Source: https://dev.to/therizwansaleem/ai-agents-architecture-patterns-tools-and-orchestration-e23