What breaks when every AI agent starts with different context?

I kept seeing the same failure mode: the chat, coding agent and automation were all capable, but each started from a different version of the project.

That is why ChaseOS Studio V1.1.0 treats shared context as infrastructure. Its Graph connects projects, sources, workflows and agent activity inside one local-first operating layer, so each runtime can begin from the same inspectable project truth.

This 15-second film uses the real V1.1.0 release-lineage Graph view—not a fabricated mock-up or a customer-performance claim:

https://x.com/chaseos_ai/status/2094134075082576266

Explore ChaseOS:

https://chaseos.ai/?utm_source=producthunt&utm_medium=product_forum&utm_campaign=studio_v1_1_0_shared_context_graph.60cdb11441a5&utm_content=producthunt-graph-thread

For anyone coordinating multiple agents: where does context drift hurt you most—handoffs, tool state, memory, or knowing which source is current?