Memory and Context

Memory, Recall & Evidence

Elora's Engine selects eligible memory and prepares a bounded context for the model. Memory Atlas lets an operator inspect the retained sources, recall selections and available delivery evidence for a selected actor-model request.

Capability review: 16 October 2026 · Examples on this page are fictional.

Engine-managed recall

A bounded path from records to context

The Engine manages storage, scope, retrieval and context admission. A stored record does not automatically become part of a model request.

  1. 1

    Stored

    Retain session evidence within configured storage and retention limits.

  2. 2

    Eligible

    Restrict candidates to the relevant scope, such as one selected session.

  3. 3

    Recalled

    Rank relevant fragments and assemble a selection within the recall budget.

  4. 4

    Admitted

    Fit selected evidence alongside the task and other context under runtime limits.

  5. 5

    Submitted

    Inspect retained checks for exact memory blocks at the provider request boundary.

Persistence and access describe different things

Session records can survive a process restart or planned worker rotation. That persistence does not give the model unrestricted database access. In the session-recall path, the model receives the context admitted by the Engine.

The underlying storage adapter may load or scan eligible stored fragments. The distinction is who manages retrieval and what is delivered to the model, rather than a claim that a database is never searched or that other systems all work alike.

Inspection in Sense

What Memory Atlas shows

Memory Atlas is a read-only projection of retained session evidence. Its graph and list are inspection views over existing records, with source references available for review.

Saved sources

Inspect available fragment text, source references, correction evidence and saved snapshots for a selected session and turn. A snapshot describes the captured record, not necessarily today's live store.

Recall paths

See which fragments were selected for recall and distinguish them from records that were merely stored. Relationships describe retained storage and delivery evidence; the graph does not infer a new authoritative set of facts.

Model delivery

Inspect the recorded model identity and whether an exact recalled block survived into the provider request. Assembly alone, absent checks and confirmed submission remain distinct states.

Evidence limits

Submission shows that evidence reached a request boundary. It cannot prove the model relied on it internally, that a retained statement is true, or that another model in the workflow received the same material. Delivery to Observer's separate opinion model is not instrumented by Atlas in this version.

Memory Atlas does not edit memory, change recall policy, grant permissions or control execution. It is separate from Execution Atlas, which explores retained execution structure and timing.

Fictional walkthrough

One project, an attributable correction

A user first records Harbour's reference as HARBOR-314, then corrects it to HARBOR-620. The source record matters: a correction to one project is not a general user preference.

Illustration only · no live model or database connection

Stored note

Harbour project reference: HARBOR-314. Folder colour: teal.
Source
Fictional user note A
Evidence state
Stored. Recall selection and provider submission are not established by storage alone.
Model reliance
Unknown. This illustrative view cannot establish internal model use.

A later, attributable correction can replace the current value without making the original note disappear from historical evidence.

Working features, research and future integration

Implemented · session scope

Bounded session recall and Atlas

Session storage, compaction, scoped recall, correction-aware evidence preparation, source inspection and provider-delivery observations are implemented. Controlled runs have retained memory through worker rotations. The public example above is an illustration, not access to that private operational interface.

Research · live validation pending

Delivery and Engine stress studies

A controlled twelve-arm study completed with retained lifecycle and delivery evidence; model compliance varied by method. A harder comparison of Native only and Native with Simplified preparation is prepared locally: 100 turns per isolated governed arm, 200 turns total. The new study has no live results yet; its live validation is pending.

Future product capability

User memory across sessions

This session-recall feature does not establish a general persistent user profile across conversations. Separate synthetic-user studies are research, not proof of real-user availability. Production user memory needs explicit ownership, consent, retention, correction and deletion standards before it is offered.

Future integration · separate authority

Memory-to-NNLSL learning

NNLSL is an existing, separate non-neural learning research system. Atlas does not automatically promote session notes into it, and recalling a note is not training. Any future bridge requires explicit permission, learning standards and its own validated promotion process.

How the evidence is read

Correct answers and delivered memory

Observer can score a recall or unknown-value question separately from inspecting memory submission. A correct answer alone does not establish that recall was necessary.

Configured and exercised features

Matched studies preserve separate arms, model settings, mandatory safeguards, checkpoint evidence and raw outcomes in private reports. Feature activity requires retained runtime evidence; a configured option or an untriggered memory-growth limit is not a successful feature test.