Persistent Research Agents Need an Evidence Ledger, Not Just Summaries

A research agent needs to preserve what it has read, which claims a source supports, and what remains unresolved. A single evolving summary can hide conflicting evidence and make a later session treat an unverified inference as a finding.

An evidence ledger keeps sources, claims, and conclusions distinguishable. It can be implemented with ordinary application records; the important part is the contract, not a particular storage technology.

Give sources stable identities and versions

Record the source URL or file ID, retrieval time, relevant publication date, revision, and permitted audience. Keep a locator for the passage that supports a claim. “Read the report” is insufficient when the report changes or contains several conflicting statements.

Separate access to the source from possession of a summary. A later user may not be permitted to see the same material, and a stored conclusion can still reveal information from an inaccessible source.

Store claims with their evidentiary status

Use statuses such as proposed, supported, contradicted, and unresolved if they fit the workflow. Preserve the supporting and opposing references rather than overwriting disagreement with a confident synthesis.

For example, one vendor guide may say a feature is available while an older deployment note describes a limitation. The useful record identifies the versions and the question to verify. It does not choose whichever statement was ingested last.

Make handoffs preserve unfinished work

A handoff should state which sources were inspected, which questions remain open, and which actions actually completed. “Draft prepared” must not become “report sent.” Preserve exact figures and source references where paraphrasing would make later verification difficult.

The decision-record guide covers confirmed outcomes. A research ledger also needs room for evidence that has not yet justified a decision.

Recheck sources when the question requires it

“Already read” should reduce duplicate work, not prohibit a fresh fetch. Time-sensitive claims need current verification. Record why a source was revisited and whether the new version changes the conclusion.

Test a conflicting source, a revised document, a permission change, and a new session that must continue an unresolved question. Evaluate whether the agent can explain its uncertainty with evidence.

For the ingestion foundation, see the knowledge-base guide. Try Supermemory with a small fictional research corpus while keeping the ledger and its review states explicit in your application.