Does Yellow.ai Remember Between Sessions? The 24-Hour Window, and What Happens After It

If you run customer-facing AI agents at any real scale, Yellow.ai has probably crossed your desk. It powers chat and voice agents for large enterprises across support, commerce, and employee experience, and its documentation answers the memory question with unusual precision. Few platforms spell out exactly when a session dies and what survives it. Yellow.ai does.

The short answer: Yellow.ai remembers everything inside a session, and it keeps the user profile and the conversation logs indefinitely. But the session itself has an expiry date. On chat channels, that date is 24 hours after the last message. After that, a new session starts, and in the documentation's own words, "previous chat history is available, but context is lost." Voice calls end their session the moment the call disconnects. So the agent remembers the conversation it is having. It does not remember the ones it has had.

How the session window actually works

A session in Yellow.ai is a continuous interaction inside a time window. On chat channels like the web widget, WhatsApp, and web apps, the session stays alive as long as the user keeps messaging: every new message within 24 hours of the last one continues the same session, and the expiry shifts forward with each message. Go quiet for more than 24 hours and the next message opens a brand-new session with a fresh session ID.

Every user is identified by a unique ID, and every session gets its own session ID. You can pull up any past conversation by either one, and inside a flow you can reference the current session directly. None of that is memory, though. That is bookkeeping. The distinction matters: Yellow.ai knows exactly who is talking and can show you every word of every past session, but the agent working the new session does not automatically carry the old session's living context with it.

Email behaves differently again: there is no fixed session duration at all. Each email is handled as an individual communication rather than part of a continuous session. Voice is the strictest channel of all: the session ends the instant the call disconnects, no grace period.

What persists across sessions

Three things survive the session boundary. First, the user profile. Yellow.ai's User360 keeps contact details that update automatically from what the user provides: name, phone number, email, plus tracked website and device activity. That profile is available every time the user returns, on any channel.

Second, the conversation logs. The full text of past sessions is stored and searchable by user ID or session ID, which is genuinely useful for review, debugging, and handoffs to human agents. Retrieval is real; the platform's analytics and insights tooling is built around it.

Third, the knowledge base and the flow definitions themselves. Your documents, FAQs, intents, and campaign configurations persist, of course. The agent's instructions survive. Its memory of the user does not.

What this means in practice is a split: Yellow.ai has durable user data and durable logs, but the agent's working context is session-scoped. Inside one conversation it is sharp and adaptive, resolving references and tracking the topic like a good human agent. Across conversations it starts over, consulting the profile and the documentation like a new hire reading the file on a returning customer.

Why operators feel this in scheduled and recurring flows

The session model is designed for conversations, and it shows the moment you run anything recurring. Proactive campaigns, re-engagement nudges, follow-up sequences, satisfaction check-ins: these are scheduled runs, not conversations, and each one begins from the campaign configuration plus the user profile. There is no accumulated operational memory for the agent to draw on, no record of what it tried last Tuesday, what worked, and what the user pushed back on, beyond whatever was explicitly written into a profile field or a log that a human would have to re-read.

Voice makes the gap concrete. A customer calls about a delayed order on Monday; the session dies with the call. They call back on Wednesday; a new session opens. The profile knows they are a customer. Nothing in the agent's working context knows the Monday call happened, what was promised, or how it ended, unless the flow was specifically built to fetch and inject that history before the greeting.

Cross-channel continuity appears on the marketing page, but in practice it is something you configure per use case, not something the platform hands you for free. The 24-hour window is generous for a single conversation. It is not memory.

The fix: a memory layer under the session layer

Session context and memory are different jobs, and they belong in different layers. The session layer handles the live conversation. A memory layer keeps everything the agent should carry between sessions, between channels, and between scheduled runs: full conversation history, facts it learned, what it tried, what worked.

That is the layer Vilix AI provides. It is cloud-hosted, so there is no infrastructure to manage: no database to provision, no vector store to tune, nothing to keep awake between runs. You set it up once and it is simply there. The same memory follows your agent everywhere over MCP, so a scheduled flow, a chat agent, and a voice agent all read and write the same shared context instead of each starting blank. It stores full conversation history, not just extracted facts, so nothing is lost to a summarizer's judgment call about what mattered. And it is zero-friction to start: a free plan that is free forever, a 7-day Pro trial with no credit card, and your data stays portable. Export everything or delete it anytime.

The vision is bigger than any one platform's session window: one default memory brain that every device and every AI tool plugs into, so context stops being rebuilt from scratch everywhere it is needed. The models keep getting cheaper and more interchangeable; the context an agent carries becomes the durable advantage. Yellow.ai's session model is honest about what it keeps and what it drops. The honest answer for anything that spans sessions is to stop asking the session layer to do a memory layer's job.

So: does Yellow.ai remember between sessions? The profile does. The logs do. The agent does not. Build accordingly.

Running scheduled or recurring AI agents that wake up blind every run? Vilix AI gives them one shared memory across every tool and every session. Free forever, no credit card.