Thought → Action → Observe Animation
Build reliable thought-action-observation cycles that let agents decompose complex goals into executable steps without going off-track.
Animate: Thought → Action → Observe Animation
Step through the flow one stage at a time and watch the data move.
Reading Planning Loops is free. Pro unlocks the other four modes on all Agentic Systems topics, so you can go from understanding it to building it.
- SeeThe architecture as diagrams, so you can hold the whole system in your head.
- AnimateStep through the flow one stage at a time and watch the data move.
- TestScenario questions with explanations that show exactly where your model of it breaks.
- BuildA guided implementation with code you can run and adapt for production.
Continue reading
All Agentic Systems articles →Building a Production Tool Registry
Design and maintain a central catalogue of agent tools — versioning, capability tagging, and dynamic discovery for scalable agent systems.
Managing Short-Term Memory in Agents
Manage the context window as working memory — what to include, summarise, or drop to keep agents coherent across long conversations.
Long-Term Memory for AI Agents
Persist agent knowledge beyond the context window — vector stores, key-value caches, and structured stores for cross-session recall.
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