Your AutoGen Team Forgets Everything When the Cron Job Ends. Here Is What Actually Persists

You schedule an AutoGen team to run every morning at eight. It researches, it codes, it writes up its findings. By Friday you notice something maddening: it never learns. It asks the same clarifying question it asked Monday. It re-derives the same conclusion it reached Tuesday. It greets every morning like the first day of a job it has held all week.

So the natural question: does AutoGen remember between runs? The short answer is no, not across scheduled runs. The longer answer is that AutoGen remembers exactly one kind of thing on its own, and everything else is plumbing you have to build. Let us walk the whole picture, so you stop debugging a memory problem that is actually an architecture gap.

What AutoGen persists on its own: in-process state

Inside a running process, AutoGen agents are stateful. An AssistantAgent holds its conversation history automatically; message by message, the context accumulates between calls, and you do not write a line of code to make that happen. Group chats work the same way: the team's shared message list persists across turns while the team object is alive.

Alive is doing a lot of work in that sentence. When the process exits, the cron job finishes, or the container gets redeployed, that state evaporates with it. Each scheduled run is a fresh process, which means fresh objects and a blank message list. AutoGen has no daemon, no background service, no disk-backed memory that survives a restart on its own. The framework treats every process as a new life, and there is no reincarnation built in.

The escape hatch the docs give you: save_state, load_state

The official state tutorial documents save_state() and load_state() on agents and teams. At the end of a run you serialize the agent, and at the start of the next run you deserialize it back. This works, and it is the correct answer for one specific need: resuming a paused workflow. If a run got interrupted on step seven of ten, state serialization lets the next run pick up at step eight.

It is a poor answer for memory. Serialized state is the raw transcript: every message, every tool call, every retry. Reload it on Monday and you are paying for the whole week again in tokens, slowing every response, and drowning the five decisions that matter in five hundred messages that do not. State is a save file. Memory is the ability to recall the important parts of that save file on demand. AutoGen gives you the save file. The recall part is on you.

Also note what the tutorial does not hand you: where the state lives. The database, the schema, how you version it when you change the agent's structure, what happens when a load fails at 08:00 and the cron has five minutes of slack. That is all your code, your storage, and your pager when it breaks.

The memory hooks: AutoGen reads for you, you write for it

Beyond raw state, AutoGen offers a Memory interface for the kind of memory that retrieval systems provide: facts, preferences, decisions, searchable across runs. Its contract is revealing. AutoGen calls update_context() automatically before each model call to inject relevant memories. But that hook only injects; it never persists anything. Persistence happens through add(), which your application must call explicitly, typically once per user turn and once per assistant turn. The Zep integration guide states this plainly: add() is never called automatically.

So even the "real" memory path leaves the two hardest parts with you: deciding what is worth remembering, and building the store that holds it. Integrations with memory services like Zep and Mem0 exist and work, but they are still integrations. You provision the service, you wire the add() calls into your loop, you maintain the lifecycle. The framework gives you the socket. You supply everything that plugs into it.

There is a telling footnote from Microsoft itself. The new Microsoft Agent Framework, the successor direction, moved to an explicitly stateless ChatAgent paired with an AgentThread object that you save and reload yourself. Even the migration guide treats thread storage as the application's responsibility. The industry has converged on the same answer: memory is infrastructure somebody has to run.

The option where you run nothing

You can accept the plumbing project: build the database, wire the writes, maintain it. Many teams do. Or you can decide that remembering is infrastructure you would rather rent.

That is the gap Vilix AI fills. It is a cloud-hosted memory layer with zero infrastructure for you to manage: no database to provision, no schema to version, no cron-side serialization code. Every MCP-capable agent reads and writes the same memory, so your AutoGen team, your n8n workflows, and your other tools all share one context instead of each keeping its own notebook. It stores full conversation history, not just extracted facts, so a run can revisit what actually happened instead of re-deriving it. It is free forever, with a 7-day Pro trial that needs no credit card, and everything is portable: export it all or delete it all, anytime. Your cron job can die every night. The memory outlives it.

The wake-up test

Here is the test that ends the confusion. Let tonight's run finish. Kill the process. Tomorrow morning, before the cron fires, ask yourself one question: if the new run needs to know what yesterday's run decided, who is responsible for that knowledge? If the answer is "me, pasting it in," you have sessions, not memory. Sessions start over. Memory carries forward. AutoGen gives you excellent sessions. For everything after that, you need a layer that remembers across them.