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A larger context window lets an agent consider more information in a single step; it does not make that information reliable memory or durable workflow state. For agents that work across turns or resume tasks later, keep retrieved context, retained memory, and authoritative workflow state distinct—and preserve the lineage that shows where each claim came from.
What is the difference between agent memory and agent state?
Context is the bounded information presented to a model for one step. It is a temporary working set: a claim does not become true merely because a prompt includes it.
Memory is information retained for possible retrieval in later work, such as a claim, episode, or procedure. Workflow state records authoritative progress and results for an in-flight task. Memory is primarily a retrieval problem; state is an execution and recovery problem. Evidence is the inspectable support for a claim or decision.
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Why give remembered claims lineage?
Lineage records the source of a claim and the transformations that produced it. Without that trail, a downstream agent may be unable to distinguish a direct observation from a model’s paraphrase, determine whether a claim applies to the current task, or tell whether apparent corroboration comes from independent sources.
Suppose an agent creates five summaries, each derived from the same customer message. Those are five artifacts but only one independent source. Counting them as five confirmations would inflate confidence. A lineage record makes the shared root visible; it does not prove that the original message was accurate. Verification and use policy still matter.
Fields for a practical memory record
A memory record can include the subject, predicate, value, scope, source references, derivation references, creator, trust level, validity dates, superseded claims, retention class, and schema version. Store enough to answer both “What is the claim?” and “Why is it available for this task?”
Fields for a derived artifact
For a summary or other derivative, record its kind, source references, generator and version or configuration, creation time, and content reference. When a derivative is based on another derivative, retain the chain back to the underlying source rather than treating the intermediate summary as an independent origin.
How can an agent tell where a remembered claim came from?
Keep a source reference and derivation path attached to each claim, along with scope, trust, and time information. At retrieval, use those fields to decide whether the claim is relevant and eligible for the action at hand. A source link without scope or freshness may identify origin but still leave the agent unable to tell whether the claim applies now.
For example, in a synthetic customer-email scenario, a request for a particular communication style in one case should not silently become a permanent user preference. Preserve the case-specific scope when extracting the claim, and check that scope when retrieving it for a later task.
How should time, conflicts, and trust affect retrieval?
Keep scope attached
Store the conditions under which a claim applies and preserve them in summaries. During retrieval, filter or qualify claims against the current task rather than projecting a narrowly scoped request as a global preference.
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A claim can become stale after it was observed. Distinguish event time from observation time, record validity or expiration where appropriate, and apply freshness requirements based on the action. For consequential actions, an old claim may need re-verification rather than unqualified reuse.
Keep unresolved conflicts visible
Claims from users, tools, and model summaries can disagree. Do not silently discard one during consolidation. Record conflict status and, when resolved, the resolution reason and authority or policy used. Until resolution, retrieval should expose the disagreement when it matters to the decision.
Separate stored data from instructions
Retrieved text may contain hostile or unauthorized directions. Treat stored content as data, preserve its trust level, and keep it separate from authorized instruction channels. A claim’s presence in memory does not grant it authority to change the agent’s instructions.
Propagate invalidation and deletion
If a source is invalidated or deleted, identify dependent summaries, embeddings, and other derivatives. Apply the relevant retention and deletion policy to those descendants; removing only the original record can leave stale copies available for retrieval.
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A useful design separates three concerns: retrieving and projecting task-relevant information into context, extracting and consolidating retained memory, and maintaining the durable record of workflow progress. The read path selects what the model sees. The write path updates memory. A durable state engine supports resumption and recovery for work that spans steps or process lifetimes.
A TMLS research report proposes a reference architecture with a context assembler, retrieval router, layered memory stores, provenance ledger, consolidation worker, and durable state engine. These are proposed roles, not a universal standard or a required set of separate products. The design principle is to keep their responsibilities clear even if an implementation combines components.
A vector index can help retrieve semantically relevant records, but retrieval is not durability. An index alone does not preserve workflow progress after a crash, prevent a repeated side effect, or supply provenance for a retrieved claim. For a multi-step task that waits, triggers external actions, or spans deployments, store authoritative progress in a durable workflow record and define how recovery handles completed and pending actions.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What to evaluate in an agent memory design
When choosing or building an architecture, compare how it handles the responsibilities below. These are evaluation criteria, not a vendor ranking.
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| Design question | What to check |
|---|---|
| What information is modeled? | Whether records represent semantic facts, episodes, procedures, current workflow progress, or a deliberate combination. |
| Can claims be traced and trusted appropriately? | Whether each claim preserves its source, scope, derivation, and authority or trust information. |
| How are change and conflict handled? | Whether validity, supersession, freshness, and unresolved conflicts are represented rather than hidden. |
| Can work recover after a restart? | Whether an in-flight workflow resumes from durable progress and has a policy for avoiding duplicate side effects. |
| How is relevant information selected? | Whether retrieval can find appropriate records while controlling what is projected into the model’s context. |
| Can governance reach derivatives? | Whether access, retention, invalidation, and deletion policies cover source records and their summaries, embeddings, or other descendants. |
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