Contextual vs Topolog

A local-first AI context engine with semantic search, temporal recall, and on-device indexing.

Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them.

About Contextual

A local-first AI context engine with semantic search, temporal recall, and on-device indexing. A context engine that runs entirely on your machine, indexed, queryable, and aware of how your repository changed over time. ▸ nexus_search (query="why did we switch the webhook signer to HMAC-SHA512?", intent="mixed") . Contextual is engineered around the smallest set of ideas that make a codebase searchable through time, on a single laptop, without sending anything out. Ask "what did this file mean last quarter?" and walk the answer backwards.

About Topolog

Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them. Topolog turns any goal into a dependency graph and schedules your days around it. Every plan is a real program, so the dates and odds are computed, not guessed. See the dependency structure, parallel branches, and where work bunches up, all in one canvas. Graph and list are two shapes of the same data, side by side.