Less drift
Agents can stay tied to the original context instead of improvising away from the facts you supplied.
Agent memory knowledge graph
An agent memory knowledge graph keeps scenario context inspectable.
MiroFish uses structured context so simulated agents can reason with entities, relationships, assumptions, and previous scenario notes instead of starting from a blank prompt.
Memory turns a simulation into a reusable map
When a scenario has many actors and assumptions, the report should not lose why each reaction happened. A memory graph can keep important pieces connected across the run.
That makes follow-up work easier. Instead of asking the same broad question again, the team can change one assumption, rerun the scenario, and compare the branch that moved.
Why it helps agent simulation
Clearer comparison
Reruns are easier to compare when the system can preserve most context and change only one assumption.
Better citations
The final report can point back to the relationship, claim, or actor that shaped a scenario branch.
When to use it
Agent memory knowledge graphs are most useful for complex planning questions: public launches, market scenarios, stakeholder conflict, policy review, and strategy decisions where the same evidence needs to be reused across multiple runs.
Updated: 2026-06-23.