One memory for every model
Most assistants now remember things — but each one remembers for itself, inside its vendor's product. jMemoria flips that: one shared memory that any model reads and writes.
Memory bound to a vendor
- Use a second model and it starts from zero.
- Your project memory lives on the vendor's terms — their retention, their migrations, their product decisions.
- Each assistant remembers only for itself, inside its own product.
One shared memory — jMemoria
- Speaks MCP and REST — any MCP-capable assistant, from any vendor or local, reads and writes the same workspace.
- What one model decided, the next one finds.
- Self-hosted and in an open format you can export — it does not vanish on someone else's release schedule.
What changes when several models write
Which model proposed this? What if two of them disagree? Who decides which version holds? jMemoria has an answer for each.
Disagreements stay visible
When two writers change the same thing from the same starting point, jMemoria refuses the second instead of merging them silently — the conflict surfaces rather than disappears.
AI writes are proposals
Anything an AI agent contributes stays a proposal until a person confirms it — so a confident wrong answer never quietly becomes the project’s truth.
An immutable history
Every change is recorded in an append-only history with who made it — so you can always see how a decision was reached, across every model that touched it.
Why this matters in practice: we have seen project knowledge quietly disappear when a provider reorganised how its assistant stored memory. A memory you host, in an open format you can export, stays on your schedule.