State graphs, checkpoints, working and semantic memory, durable workflows, interrupts, and multi-agent routing.
For a small example, a user asks for Celsius in future weather answers. Store a scoped preference with provenance and allow it to be viewed, corrected, or deleted.
A support agent returns to a ticket after several tool calls. Persist typed task state, evidence, pending approvals, and idempotency keys instead of reconstructing from prose.
Initializing Interactive Playground...
Predict how one control changes the Agent State, Memory & Orchestration result.
The starter deliberately follows a tempting but flawed assumption: Using the transcript as permanent memory
Check: The browser checks pass and you can name the failure mechanism before opening the explanation.
Failing starter lab
Later checkpoints overwrite earlier keys while preserving untouched state.
Run the incomplete starter before opening hints. Use the first wrong output or failed check to form a repair hypothesis.
Explanations after each answer · 80% to pass · Agent State, Memory & Orchestration
Chapter 1 of 4 · Core
An agent runtime can be modeled as a graph whose nodes perform work and whose edges choose the next transition. State is the typed snapshot shared across steps: user goal, messages, plan, retrieved evidence, tool results, approvals, budgets, errors, and produced artifacts.
State updates need reducer semantics. Append-only event lists, last-write-wins fields, counters, and sets behave differently when branches execute in parallel. Define each merge rule rather than mutating a shared dictionary from arbitrary nodes.
Cycles support observe-and-replan behavior, but every cycle needs a termination condition. A robust loop stops on goal completion, non-retriable error, user cancellation, deadline, iteration budget, cost budget, or no-progress detection.
Key equations
Two free references selected for Agent State, Memory & Orchestration.
Primary sources and free technical reading for Agent State, Memory & Orchestration.
Official concepts for state, nodes, edges, reducers, checkpoints, and interrupts.
Practical short-term and long-term memory patterns, trimming, summaries, and persistence.
Durable execution primitives for retries, workflow history, signals, and recovery.
A research framework connecting working, episodic, semantic, and procedural memory.
The foundational paper on interleaving reasoning and acting with environmental observations.