𝗬𝗼𝘂𝗿 𝗔𝗴𝗲𝗻𝘁 𝗗𝗲𝗺𝗼 𝗪𝗼𝗿𝗸𝘀. 𝗬𝗼𝘂𝗿 𝗔𝗴𝗲𝗻𝘁 𝗗𝗼𝗲𝘀𝗻'𝘁.
Most agent architectures fail in real work.
A demo looks good with a single task and a fast response. Real work involves insurance claims, sales sequences, or data reconciliation. These tasks take time and many steps.
The problem is statelessness. Most agents rebuild context from zero every time they interact. They lose the reasoning chain and the progress made. You end up with a polite AI that pretends to know the situation.
Google Cloud experts Addy Osmani and Shubham Saboo shared five patterns to fix this. Here is the breakdown:
Checkpoint-and-Resume Treat your agent like a server. Save progress every few units of work. If an agent fails on task 201 of 1,000, it resumes at 201. Do not start from zero.
Delegated Approval Stop using Slack or email for human approval. These tools break context. Pause the agent in place. Keep the full state intact so it resumes instantly when a human responds. Use a structured inbox for requests and errors.
Memory-Layered Context Separate long-term memory from working memory. Long-term memory stores knowledge across sessions. Working memory handles the current task. You must prevent memory drift where agents learn bad habits from edge cases. Use identity management and a governance layer to block bad data.
Ambient Processing Build agents that watch data streams like support tickets or database changes. Do not hardcode rules into the agent. Put rules in an external governance layer. This way, you update rules in one place and the whole fleet follows them.
Fleet Orchestration Use a coordinator agent to manage specialist agents. Each specialist has its own tools and identity. This follows the worker pattern used in distributed systems. You can update one specialist without breaking the whole system.
The biggest risk is memory drift.
People focus on prompts but ignore how an agent's behavior changes over time. If an agent learns from bad or strange interactions, it stops acting like the code you wrote.
You must treat agents like microservices. They need identity, a registry, and strict policy enforcement.
Ask yourself: What is the longest task my agent must perform without stopping? If the answer is hours or days, you need these patterns.
ਸਰੋਤ: https://dev.to/archit_aggarwal_5310522d5/your-agent-demo-works-your-agent-doesnt-88l
ਵਿਕਲਪਿਕ ਸਿੱਖਣ ਕਮਿਊਨਿਟੀ: https://t.me/GyaanSetuAi