APX is a free, open-source desktop app that runs your own team of AI agents on your machine.
Remembering everything is not the same as being useful. A project assistant needs current decisions, constraints and enough provenance to tell where they came from. It also needs a way to correct yesterday's assumption.
A small test can reveal more than a long list of memory features:
- In a project, give the agent a harmless preference and its reason. Ask it to save both.
- Start a new conversation in the same project and ask a specific question that should use the preference.
- Inspect the note or source if available. Correct the preference and ask again.
- Record what appeared, what was missing and whether the correction was reflected.
Don't use credentials or production secrets for the experiment. One successful recall is not a guarantee that every later question will retrieve the right context. Scope, settings, the question and the model can affect retrieval. For consequential work, inspect the source before acting.
APX documents notes scoped to the person, project or agent, with controls to view and correct them. Optional automatic capture has eligibility limits: some sources, including contact chats, rooms and external sessions, are excluded. Review reduces mistakes; it does not make semantic understanding infallible.
A useful memory system should let you distinguish a durable decision from a temporary request—and show you how to fix the record when it is wrong.
Read the longer project-memory guide and memory documentation. For another documented approach, see the APX vs Hermes Agent comparison; APX publishes it and has an interest in that comparison. APX · Official videos
