Agno profile verification

Type: agentic-system-analyses/types/agentic-system-verification.md

Verification

I checked all ten axes, their unit scopes, positive findings, evidence bases, unresolved alternatives and coverage assessments against the handed records. The profile adds no observed operation or causal benefit. Its comparison rationale keeps every axis partial and excludes static shipped instructions, ordinary current-run state and inference weights without an established use-fed update. Changed configuration and exported training examples are explicitly included, so their classification is not silently substituted for the narrower personal-memory mechanisms.

The supplied reconciliation resolves the duplicate learning object to MEM-OBJ-learned-knowledge and the duplicate Curator route to MEM-RTE-profile-curation. I applied those identities without upgrading their evidence or dropping the epistemic qualifications. The conditional EPI-OBJ-profile-memories remains a distinct profile part. No unresolved cross-report conflict changes an emitted value. No source reads were needed; this judgment uses the supplied records and their retained passages only.

Object, form and provenance axes

• storage_substrate: File payloads, database rows, vector indexes and the optional process cache have supporting retained-object or persistence accounts. The profile separates ResultStore payload from its database access index and managed-page text from vectors/catalog. Generic database findings do not assert inspected deployment of every backend or a SQLite-specific value. MEM-OBJ-agent-session, MEM-OBJ-result-store, MEM-RTE-page-knowledge, RT-OBJ-component-config and EPI-OBJ-sft-conversations support the positive substrates; opaque alternatives remain unresolved.
• representational_form: Text interpreted by later inference, fixed-rule identities/metadata and dense numerical representations remain separate parts. The available embedding path supports a numerical representation, not use-fed changes to provider weights. Result previews do not classify arbitrary payloads. MEM-OBJ-learned-knowledge, MEM-CMP-openai-embedder, MEM-OBJ-result-store and MEM-BAP-retirement-filter support these distinctions.
• lineage: Conversation extraction, direct supplied content, external-source ingestion and embedding compilation support the four emitted origins on their named paths. Initial caller provenance, imported embeddings and mixed inputs remain partial rather than becoming known from a later transformation. MEM-RTE-profile-extraction, MEM-RTE-learned-knowledge, MEM-RTE-knowledge-context, MEM-RTE-page-knowledge and EPI-RTE-sft-selection support the findings. Some units aggregate paths, but their findings retain their local origins rather than claiming identical provenance for every stored part.

Consumer, admission and transformation axes

• behavioral_authority: The profile distinguishes information and standing guidance at inference from learning inputs at update consumers. Ranking concerns retained content/representations used by retrieval, not a claim of learned ranking policy. Fold/configuration state routes later selection; retirement flags and ResultStore scope fields enforce bounded delivery checks. Configuration stage/version checks and SFT eligibility checks support validation and veto effects. MEM-BAP-retained-context, MEM-BAP-retirement-filter, MEM-RTE-result-offload, RT-RTE-config-admission and EPI-RTE-sft-selection support these distinct consumers. External training is only afforded; compressed-content replay remains not-determinable.
• write_agency: Software/model extraction, maintenance and export admission support automatic findings. Starting those operations does not establish per-content human control. Direct edits and initial content remain not-determinable because generic caller identity does not identify a human decision. PROPOSE guidance does not establish manual admission or an enforced approval token. MEM-RTE-memory-editing, MEM-RTE-learned-knowledge, EPI-RTE-learning-save and RT-RTE-config-admission preserve those boundaries.
• curation_operations: Summary/fact extraction supports consolidation; recorded revision supports evolution; conditional Curator pruning and normalization support decay and deduplication; entity retirement supports invalidation while retaining history. Unknown optimization and learned-insight semantics do not support synthesis merely because instructions request generalization. MEM-RTE-session-summary, MEM-RTE-profile-curation, MEM-RTE-entity-memory and EPI-RTE-learning-extraction support the emitted values. The partial inventory has the local omission stated below, not a false complete-operation assertion.

Selection and trace axes

• read_back_direction: Host history, memory, learning and reference supply supports push. Requested search, archive lookup and result reads support pull; fulfilling those requests is not another push. Manual context placement and external trainer file reading retain afforded rather than wired bases. RT-RTE-context-window, MEM-RTE-learning-context, MEM-RTE-knowledge-context, MEM-RTE-result-offload and EPI-RTE-sft-selection support the chains. Custom and later compression consumers remain unresolved.
• read_back_signal: Identity matches select actual supplied rows, folds, entities or configurations; availability, recency and budgets are separate coarse selectors. Current-message semantic retrieval supports embedding selection and entity term matching supports lexical selection. Write-side supersession judgment is not judgment-based push selection. MEM-RTE-entity-memory, MEM-RTE-decision-memory, MEM-RTE-learned-knowledge and RT-RTE-config-admission support these mappings. Inapplicability is limited to named requested operations, not the entire partial axis.
• trace_learning: Automatic conversational extraction and retained continuation summaries have write-to-later-consumer chains supporting wired yes. Neither novel knowledge nor measured improvement is required by this axis. Raw trace retention and SFT export alone do not close a derived update or parameter-training route. Compression replay and foreground/direct alternatives remain unresolved rather than receiving unsupported no findings. MEM-RTE-user-memory, MEM-RTE-context-extraction, MEM-RTE-session-summary, RT-RTE-context-window and MEM-RTE-tool-compression support the distinctions.
• trace_source: Conversational turns support session-logs. Tool-bearing compaction history additionally supports tool-traces through the recorded folded-message chain; this is not attributed to every concurrent extraction snapshot. Imported references and instructions do not become event streams from their message wrapper. MEM-OBJ-compaction-archive, RT-RTE-context-window, MEM-RTE-user-memory and MEM-RTE-learning-context support the positive and partial source assessments. No unsupported trajectory, event-stream or complete-source inventory is emitted.

The emitted comparison values and their local evidence strengths remain supported. Faithfully expressed uncertainty about opaque alternatives, final-trace timing, replay, initial control and external training is not itself a defect. The local curation omission does not change the system-level positive value union or a central conclusion, so it does not require blocking publication.

Blockers

none

Limits

• The partial curation inventory in the comparison rationale does not separately classify changed component-configuration revision or ResultStore TTL/session-deletion forgetting. RT-RTE-config-admission records new versions and current-pointer changes that alter later retained configuration; MEM-RTE-result-offload records removal of retained payload/index state. These supply additional local evolution/forgetting mechanisms within the profile's included boundary. The profile already emits evolve and decay elsewhere and asserts only partial axis coverage, so its positive union remains valid. Consumers should withhold a complete per-mechanism curation inventory or comparisons of which retained surfaces undergo revision and forgetting.