---
type: "raw_signal"
id: "every-memory-has-two-clocks-when-the-event-6561e6"
slug: "every-memory-has-two-clocks-when-the-event-6561e6"
title: "Every memory has two clocks: - when the event happened - when the system learned about it A deep dive into eight temporal scenarios in consumer apps, and how to handle each one: https://t.co/hXcOUs8Nw0"
description: "Nowledge Labs describes temporal reasoning as one of the challenges in building an agent-memory product."
retrieval_nugget: "Nowledge Labs describes temporal reasoning as one of the challenges in building an agent-memory product."
observed_at: "2026-10-20"
record_date: "2026-10-20"
date_kind: "observed_at"
why_it_matters: "Nowledge Labs describes temporal reasoning as one of the challenges in building an agent-memory product. Its framing distinguishes two timestamps: when an event happened and when the system learned about it. The article also presents a knowledge lifecycle with raw conversation traces, extracted atomic units, and conclusions cross-validated by multiple sources. It describes a two-tier retrieval des"
novelty: "notable"
verification_level: "source-linked"
signal_type: "update"
source_platform: "nowledge.co"
topics: []
entities: ["Nowledge Labs","Nowledge Mem","vLLM","Kubernetes Community Days","Claude Code","Cursor"]
related_patterns: ["company-memory-needs-write-loops"]
novelty_label: "new_angle"
what_changed: "Frames AI memory around two distinct timestamps—when an event happened and when it was learned—and surveys eight temporal scenarios in consumer apps."
prior_refs: ["memory:0b1dd326-efa6-8dfa-afb3-07a74247dbc1","memory:ae7548b3-e3c6-81cc-adf1-6c7980f8b49e","memory:f8b52ade-7786-8616-a350-d6f49a883b81"]
source_url: "https://www.nowledge.co/blog/building-memory-systems-for-ai-agents"
source_urls: ["https://www.nowledge.co/blog/building-memory-systems-for-ai-agents"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:every-memory-has-two-clocks-when-the-event-6561e6"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/every-memory-has-two-clocks-when-the-event-6561e6/","markdown":"https://newruntime.com/signals/every-memory-has-two-clocks-when-the-event-6561e6.md","json":"https://newruntime.com/signals/every-memory-has-two-clocks-when-the-event-6561e6.json"}
---

# Every memory has two clocks: - when the event happened - when the system learned about it A deep dive into eight temporal scenarios in consumer apps, and how to handle each one: https://t.co/hXcOUs8Nw0

## Retrieval answer

Nowledge Labs describes temporal reasoning as one of the challenges in building an agent-memory product.

Nowledge Labs describes temporal reasoning as one of the challenges in building an agent-memory product. Its framing distinguishes two timestamps: when an event happened and when the system learned about it. The article also presents a knowledge lifecycle with raw conversation traces, extracted atomic units, and conclusions cross-validated by multiple sources. It describes a two-tier retrieval design, with a fast path for most queries and a deeper path for harder ones. These are the team’s reported engineering choices, not an independent benchmark or evaluation.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)