01 · Context
Operating environment
Agentic workflows may need evolving policy context to guide behavior and a permanent record of what the system actually saw, proposed, approved, and executed.
02 · Business problem
The condition that required change
Using one memory mechanism for both purposes creates ambiguity: retrieved context may change, while audit evidence must remain stable.
- Policy versions change over time
- Retrieval results are probabilistic
- Audit evidence must be immutable
- Human approvals require historical context
03 · Architecture decisions
Why the system takes this shape
Separate guidance from truth
Policy retrieval can evolve without rewriting the historical record of a transaction.
Snapshot consequential context
The policy version, evidence, model output, and approval state are preserved with each transaction.
Design replay as a first-class capability
A reviewer can reconstruct why a decision occurred using the state available at that time.
04 · System design
Architecture and delivery
A versioned policy corpus supports retrieval and guidance. A separate transactional ledger records inputs, retrieved references, generated proposals, human decisions, executed actions, and correlation identifiers.
The model is intentionally implementation-neutral. A production design would select storage, retention, access control, encryption, and replay boundaries from regulatory and operational requirements.
05 · Outcomes
Measured or intended results
Policy can improve without mutating historical transaction evidence.
Investigators can reconstruct the complete decision chain.
06 · Lessons
What transfers to other systems
- Memory is not a single architectural concern.
- Store the context needed to explain decisions at the moment they occur.
- Audit design should precede autonomous or semi-autonomous execution.