xMemory profile verification
Type: agentic-system-analyses/types/agentic-system-verification.md
Verification
I checked all ten axes in the handed memory profile against the supplied runtime, memory, epistemic and workflow accounts, resolving duplicate identities through the handed reconciliation. No correction answers or refusal were supplied. This judgment uses accepted records only; no source reads or target execution were needed.
Scope, substrates and forms. The accumulated-memory boundary includes retained conversational content, derived summaries/statements, access structures and diagnostic exports. It does not turn static prompts, inference weights, current-query scores or offline assessment artifacts into memory-update mechanisms. MEM-OBJ-original-messages, MEM-OBJ-semantic-content, MEM-OBJ-retrieval-vectors, MEM-OBJ-memory-graph and MEM-OBJ-original-index support the emitted files, in-memory, vector and graph findings. They also support natural-language, symbolic and parametric forms without inferring SQLite from Chroma or learned weights from retained vectors. Opaque injected/provider alternatives remain unresolved. The graph form unit is coarser than the prescribed operative-part unit, as recorded below; its three positive findings are nevertheless independently supported.
Lineage. Import of originals, trace extraction of prose and local compilation of access structures are supported by RT-RTE-conversation-admission, MEM-OBJ-episode-content, MEM-OBJ-semantic-content, MEM-OBJ-theme-summary and MEM-OBJ-retrieval-vectors. Local generation is not presented as resolving upstream input or embedding provenance. The profile uses the canonical memory objects for the superseded epistemic originals, statements and themes, and the canonical withdrawal route for owner deletion. Narrower episode, membership and vector records are not incorrectly treated as superseded wholesale.
Authority and agency. The profile distinguishes knowledge at scoring/answering from learning at durable-update consumers, ranking at retrieval, routing/enforcement at candidate filtering, and validation/enforcement at insertion. RT-BAP-memory-reader, RT-RTE-semantic-admission, MEM-OBJ-theme-topology, EPI-RTE-duplicate-check and EPI-RTE-semantic-disposition support those distinct effects. No truth acceptance, instruction compliance or training benefit is inferred. Software/model admission supports automatic write agency; operator initiation does not establish manual content approval. Generic caller control and injected behavior remain unresolved rather than inheriting automatic or manual classification.
Curation. Condensation/extraction and theme abstraction support consolidation; similarity-based insertion rejection supports deduplication; changed summaries/membership and graph nodes support local evolution. MEM-RTE-memory-withdrawal supports forgetting in affected stores, hence decay, but not history-preserving invalidation or global removal. EPI-RTE-comparison-extraction does not establish synthesis merely because semantic fidelity is unverified. Current-batch refresh and residual hierarchy/cache state remain explicit qualifications. No unsupported promotion or complete operation inventory is emitted.
Read-back direction and signals. Requested baseline/adaptive retrieval is pull under RT-RTE-baseline-search and RT-RTE-adaptive-reader. The automatic delivery of selected accumulated material to later update-model calls is a separate push operation, not another label for requested QA delivery. The memory annotations on RT-RTE-semantic-admission establish embedding selection and coarse fallback order/availability. The episode-ID continuation and the membership/text-dictionary intersection in MEM-OBJ-theme-summary support identifier selection of actually delivered content. Upstream workflow initiation does not remove these internal selection operations. Pull-unit signal inapplicability is local; unresolved alternative delivery is not made inapplicable. The memory account's rejection of unsolicited foreground delivery is therefore preserved, not contradicted.
Trace learning and origin. Automatic conversation-to-summary/statement-to-later-consumer routes support wired trace learning under the profile's definition. RT-RTE-conversation-admission, RT-RTE-semantic-admission and RT-RTE-hierarchy-admission supply the production, retention and later-consumption chain. This does not conflict with the epistemic account's refusal to infer improved capacity. Recorded conversational turns support session-logs; captions/search supplements and opaque inputs remain unresolved. A scheduling event is not misclassified as the original trace source. Offline lexical scoring has no established automatic memory-update consumer under RT-RTE-offline-evaluation, so its presence does not add another learning route.
All positive findings retain wired rather than observed or causal support. All ten axes remain partial, with named unresolved alternatives; no axis asserts bounded absence or system-complete coverage. Unknown hidden-provider behavior is not treated as an evidenced positive or negative. The local granularity issue below does not change a supported system-union value or require additional source inspection to preserve this bounded comparison.
Blockers
none
Limits
- The profile's representational-form unit “Diagnostic graph operative parts” groups symbolic nodes/edges, natural-language copied text and parametric embedding payloads rather than giving each operative part its own unit. MEM-OBJ-memory-graph supports all three findings and their separate parts, and the profile rationale preserves their distinction. The axis is partial and its emitted values remain valid, but consumers should withhold claims of fully normalized part-level form coverage or counts derived from unit count: one container unit is not one homogeneous representation. This is a local granularity limit, not an unsupported value or a false system-complete assessment.