GMemory reconciliation

Type: agentic-system-analyses/types/agentic-system-reconciliation-report.md

Reconciliation

Identity and containment

The reports share the run and revision fixed by boundary. Their connections concern implementation and doctrine/design, not authenticated operation or causal benefit. This reconciliation used the pinned reports and their supporting passages; it made no source reads. No correction answers or declined objections were supplied, so changes are assessed from the current findings rather than inferred analyst intentions.

Amendment: EPI-OBJ-insights-rule is superseded by MEM-OBJ-insights-rule. Both identify the same insights_memory entries' rule strings, stored in process and namespace JSON and consumed by maintenance, merge, projection and solving. Neither identifies a distinct version or stage. The epistemic semantic-relation findings and memory lineage/consumer findings concern this one text object. Supersession preserves those findings; requested causal wording does not become validated causal content.

Amendment: EPI-OBJ-insights-score is superseded by MEM-OBJ-insights-metadata. Both identify the same score, positive_correlation_tasks and negative_correlation_tasks fields in the rule dictionaries and JSON. Both distinguish score-based survival from positive-association selection. The epistemic retention/adaptation findings and memory access-metadata findings therefore concern one object. Neither grants these numbers calibrated truth or causal-effect meaning.

No further whole-record identity is established. MEM-OBJ-mas-message validly groups task text and derived extras. EPI-OBJ-key-steps and EPI-OBJ-fail-reason distinguish outputs with different consumers inside that payload; neither replaces the container. EPI-OBJ-task-trajectory spans trajectory, cleaned text and chain views, overlapping both that container and MEM-OBJ-state-chain. It is not identical to either. The latter isolates serialized interaction graphs rather than the readable trajectory. These valid containers do not require split supersession.

MEM-OBJ-task-layer is a task-query access graph, not the interaction graph, rule text or rule associations. MEM-OBJ-node-memory is in-process temporal history within RT-RTE-macnet-actions, not that whole route or a restart checkpoint. EPI-OBJ-projected-insights is transient transformed output within RT-RTE-memory-delivery, not persisted raw rule text. EPI-OBJ-wiki-document is imported external content, distinct from those retained structures. RT-CMP-gpt-chat and RT-CMP-embedding-func are distinct model components, not these operative objects.

The specialist route declarations isolate parts rather than duplicate runtime containers:

EPI-CLM-general-principles isolates the maintenance-guidance claim within RT-CLM-evolving-memory; it does not replace that broader adaptation claim. EPI-CLM-output-improvement concerns a separate evaluator prompt without a found consequential caller in its recorded search. It is neither the adaptation claim nor RT-CLM-bounded-recovery. RT-BAP-retained-guidance identifies consumer, channel, force and horizon rather than duplicating the delivery route. Workflow declares no records; its annotations add fields to runtime identities.

Changed findings and remaining disagreement

The earlier negative-state-removal disagreement is no longer a disagreement between the current declaring records. RT-RTE-task-retention, MEM-RTE-state-roundtrip and EPI-RTE-trajectory-cleanup now all state that pop_state pops a property-produced slice, leaving backing states unchanged. Their supporting passages are SRC-1, mas/memory/common.py and mas/memory/mas_memory/GMemory.py. Runtime and epistemic also distinguish successful trajectory reconstruction before digit erasure from clean_traj supplied to extraction/diagnosis. No current route finding licenses describing those inputs as effectively reward-pruned. This agreement is static implementation reasoning, not observed filtering failure.

Unresolved conflict: the memory annotation and integration issue 1 attribute an effective negative-state-removal finding to RT-RTE-task-retention, while that current record explicitly says removal is ineffective and cites MEM-RTE-state-roundtrip. The memory annotation supplies the slice/pop witness from SRC-1, mas/memory/common.py; runtime now includes the same witness and unchanged-backing-state conclusion. Thus the disagreement is the memory report's attribution of a contrary runtime finding, not competing current accounts of deletion behavior. It prevents treating memory's outstanding correction request as an accurate description of the pinned runtime report. The reports are not rewritten here, and this attribution discrepancy does not re-establish the former mechanism conflict.

The earlier AGREE no-match disagreement is also absent from the current records. EPI-RTE-rule-disposition and memory's annotation on RT-RTE-insight-maintenance now both quote _retrieve_rule_index returning -1 in SRC-1, mas/memory/mas_memory/GMemory.py. Both describe a nonempty list's last rule being credited on a miss, or another matching rule being credited instead of the numbered target. The epistemic record no longer asserts a None return and indexing failure. Runtime claims limited parser/index checks, not a guarantee of intended targeting; the specialist qualification does not contradict that bounded finding. Supersession of the duplicate metadata object does not change any route's finding.

Independent convergence and integration dispositions

Memory's loaded-graph issue remains local to MEM-RTE-state-roundtrip: deserialization installs completed graphs without an open trailing state, while the public view excludes the last element. That finding limits reconstructed interaction-graph fidelity, not replay of separately retained trajectory text. Neither RT-RTE-memory-delivery nor the workflow account depends on full graph replay. Practical impact remains unknown; no contrary fidelity finding is established.

Memory's selection qualifications refine RT-RTE-memory-delivery: fallback searches can replace graph-expanded candidates; CLI and API defaults differ; positive associations, not scalar survival scores, rank insights. The baseline does not promise graph contribution in every call or truth filtering. The reports converge on task-start retrieval, discarded failed-example returns, optional projection, count rather than demonstrated token budgets, and advisory prompt delivery. Failed records still feed comparative maintenance. Empty parsed projection can remove delivered guidance without an exception, as separately identified by EPI-OBJ-projected-insights. These limits do not establish absent retrieval or observed noncompliance (MEM-OBJ-insights-metadata, RT-BAP-retained-guidance).

The separate operation and merge gates remain consistent across RT-RTE-insight-maintenance, EPI-RTE-rule-disposition and MEM-RTE-cluster-merge. Numbered-list merging bypasses ordinary operation checks and rebuilds metadata. Requested output-count arithmetic is not an enforced cap. Neither path supplies a semantic acceptance decision or checked meaning preservation. Syntax, index checks, outcome credit and persistence have real operational force without establishing rule truth or causal contribution.

The workflow account independently traces the same RT-RTE-autogen-actions route. Repetition causes helper substitution, not correctness review; the helper does not receive an explicitly appended unexecuted current proposal. Negative step reward informs later context but does not invoke helper escalation. ALFWorld final done supplies the operational outcome. The specialist FEVER and ScienceWorld records add different benchmark-local checks rather than contradicting the selected ALFWorld workflow. A wrong FEVER Finish terminates the episode without final success (EPI-RTE-fever-check, EPI-RTE-subgoal-check).

Workflow's annotation on RT-RTE-task-retention connects synchronous save/backward to runner-visible delivery: completed environment interaction is insufficient if memory work fails before the tuple returns. That finding does not require any particular reward-filtering behavior. Its recovery account agrees with RT-CLM-bounded-recovery: separate provider-attempt and outer-step bounds do not establish a task deadline, especially when empty outputs do not advance workflow retry counters.

Consumer differences remain aligned. RT-RTE-dylan-actions saves without post-task backward; AutoGen and MacNet call it. MEM-OBJ-node-memory and RT-RTE-macnet-actions distinguish temporal histories from persisted GMemory and describe possible cross-task delivery conditional on temporal edges. Actual graph realization and effect are uninspected. Memory's optional trajectory-conditioned projection API has no inspected shipped caller; epistemic assessment of that branch does not establish deployed use.

Finally, epistemic implemented architectural status does not upgrade runtime's uninspected operation status. The epistemic bounded conclusion distinguishes operational reuse from evidence-consuming semantic acceptance and post-acceptance lifecycle integration; this does not deny the software admission and delivery routes. The separate theory-builder conditions, learning, reflection and autonomy findings remain those declared on RT-RTE-insight-maintenance, without promotion or consolidation into one verdict. Epistemic improvement-directed self-change is qualified by missing authenticated subsequent operation causally depending on the change, so it does not contradict runtime's refusal to infer exercised improvement or benefit. Initial-store provenance, external model versions, actual guidance, operation and causal benefit remain scoped unknowns, not disagreements or evidenced absences.