Price history
Recorded standalone sale prices and the latest available store price, in USD. Historical dots use the sale start date and its recorded offer price. Prices can change during a sale; this is not a daily price log. Bundle prices and upcoming offers are excluded. History covers up to the 100 most recent recorded offers.
Lowest recorded standalone price in this history: FREE. The latest store price is FREE, matching the lowest recorded price shown here.
View 2 recorded prices
| Sale start / price check | Price | Observation |
|---|---|---|
| FREE | Latest store price | |
| FREE | Unity First Price 2026-10-15 2026-10-15 |
Sale and bundle history
The 1 most recent recorded offers including this asset. Past offers may no longer be available. Bundle prices cover a package, not this asset alone.
About Instinct GOAP Framework
You describe facts, actions and goals. Instinct GOAP decides what the agent does next — and tells you exactly why it decided that.
Behaviour trees and state machines make you author the transitions. GOAP makes you author the world instead: what is true, what each action needs and changes, what the agent wants. The planner finds the path. Add an action and every goal that can reach it starts using it, with no graph to rewire.
Two APIs over the same planner. The Flow API is one domain file plus action classes, for new agents and gameplay code you own. The Command API emits a command enum you translate yourself, for slotting the planner into an existing state machine or command bus without rewriting it. Pick one per agent.
Genre-agnostic, because it plans over your data, not over a scene format. The four sample scenes are deliberately different shapes: a chef running a kitchen queue, a farmer with an energy economy, a guard on patrol with alert states, and a stalker A-Life agent with survival drives.
Fully customizable in the sense that matters for a planner: facts, actions, goals, costs and goal-selection policy are all your own C# — there is no visual graph to fight and no asset format to conform to. Action behaviour is either an async method or composed steps.
Honest about scale: every replan clones world state, roughly 34 KB per replan and 750 B per agent per tick on a 57-fact domain. Comfortable for dozens of agents. Not built for hundreds on mobile, and the Performance page in the docs says so with numbers rather than promises.
Documentation is a nine-page handbook, also shipped as one offline HTML page, plus a Ukrainian guide. Every sample has tests you can read as executable documentation.
Behaviour trees and state machines make you author the transitions. GOAP makes you author the world instead: what is true, what each action needs and changes, what the agent wants. The planner finds the path. Add an action and every goal that can reach it starts using it, with no graph to rewire.
Two APIs over the same planner. The Flow API is one domain file plus action classes, for new agents and gameplay code you own. The Command API emits a command enum you translate yourself, for slotting the planner into an existing state machine or command bus without rewriting it. Pick one per agent.
Genre-agnostic, because it plans over your data, not over a scene format. The four sample scenes are deliberately different shapes: a chef running a kitchen queue, a farmer with an energy economy, a guard on patrol with alert states, and a stalker A-Life agent with survival drives.
Fully customizable in the sense that matters for a planner: facts, actions, goals, costs and goal-selection policy are all your own C# — there is no visual graph to fight and no asset format to conform to. Action behaviour is either an async method or composed steps.
Honest about scale: every replan clones world state, roughly 34 KB per replan and 750 B per agent per tick on a 57-fact domain. Comfortable for dozens of agents. Not built for hundreds on mobile, and the Performance page in the docs says so with numbers rather than promises.
Documentation is a nine-page handbook, also shipped as one offline HTML page, plus a Ukrainian guide. Every sample has tests you can read as executable documentation.