Shared context lets AI clients stop starting from zero
A separate context layer lets multiple AI clients read shared project context without a human manually copying memory.
Capability delta
Before: Each AI client learns the project separately and loses context when the user switches tools. Enabling change: A shared MCP-compatible context layer exposes structured memory outside one client. After: Different agents can reuse the same governed project context. Human consequence: The user spends less time carrying decisions, architecture notes, and preferences between Claude, Codex, Cursor, and other clients.
Source ledger
Publishable sources attached to this record.
| # | Source | Role | Public status |
|---|---|---|---|
| 1 | unabyss.comsource | primary receipt | source_urls |
| 2 | producthunt.comsource | supporting receipt | source_urls |
| 3 | parallel.aisource | supporting receipt | source_urls |
| 4 | websitemain.claude.comsource | supporting receipt | source_urls |
| 5 | vercel.comsource | supporting receipt | source_urls |
This delta is source-inspected, not workflow-tested. It should live as an early signal, not as a claim that shared context has already become standard infrastructure.
September 2026 update
Why now
Universal context, project-as-conversation surfaces, and memory observability make portability an operated layer rather than a copy-paste ritual.
This is source-inspected, not proof of safe standard infrastructure. Every shared item needs provenance, owner, scope, expiry, correction path, and rollback.