
Knowledge Vault’s Retrieval Lattice: Memory Agents Can Actually Use
Pretty knowledge graphs are easy. Useful memory under agent pressure is not.
FuseIQ’s Knowledge Vault now pairs document storage with a retrieval-path lattice — a calm, Fable-style graph that shows where heat is building as agents and humans pull context. The goal is simple: when Swarm or Chat Hub needs a fact, policy, or product brief, the vault should surface the right slice — and show operators what was retrieved.

The problem operators actually have
Teams dump PDFs, wikis, and notes into a vault, then watch agents:
A graph that only shows “we have 400 nodes” doesn’t fix that. You need retrieval heat — visual signal for what the system is actually using.
What shipped
| Capability | Why it matters |
| ------------ | ---------------- |
| Retrieval-path lattice | Nodes and edges reflect memory connectivity, not random decoration |
| Agent heat | Highlight paths that agents (and humans) are actually retrieving |
| Calm controls | Pulse / refresh that work without resetting the simulation on every parent re-render |
| Alive, not noisy | Motion supports orientation; it doesn’t fight the graph |
This sits in the authenticated Knowledge Vault surface — the same vault your workspace already uses for agent context.
How to use it today
1. Open Knowledge Vault in your workspace.
2. Ingest or confirm documents your agents should trust (policies, playbooks, SKUs, FAQs).
3. Run a Swarm or Chat path that depends on vault context.
4. Watch the lattice: heat should track retrieval, not vanity animation.
5. Tighten sources when the wrong cluster lights up — fix the memory, not the prompt alone.
Honest limits
Next step
FuseIQ — the governed runtime other products run their AI on.
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