Does Apache ActiveMQ Remember Between Runs? A Persistent Message Survives a Restart. The Next Run Still Starts With Only That Message.
Does Apache ActiveMQ Remember Between Runs? A Persistent Message Survives a Restart. The Next Run Still Starts With Only That Message. Apache ActiveMQ remembers a message very well, and it remembers nothing the consumer learned while handling that message. Send a message with persistent delivery and the broker logs it to stable storage before it counts as accepted, so the message can survive a broker restart and wait safely for a consumer. Consume that message, acknowledge it, and the broker re
Does Apache ActiveMQ Remember Between Runs? A Persistent Message Survives a Restart. The Next Run Still Starts With Only That Message.
Apache ActiveMQ remembers a message very well, and it remembers nothing the consumer learned while handling that message. Send a message with persistent delivery and the broker logs it to stable storage before it counts as accepted, so the message can survive a broker restart and wait safely for a consumer. Consume that message, acknowledge it, and the broker removes it. The conclusion the consumer reached, the records it checked, and the dead ends it ruled out were never inside the message, so none of them enter ActiveMQ. That split is why scheduled agents fed by ActiveMQ still repeat finished checks, reopen settled questions, and begin every run with only the next message as a brief.
Persistence protects the message, not the work done on it
ActiveMQ offers two delivery modes, and the difference matters. A persistent message must be logged to stable storage. In ActiveMQ Classic, the KahaDB store does that work with a transactional journal on disk plus an index that points to where each message sits in the journal, so the broker can recover its queues after a restart and rebuild what was still waiting. A non-persistent message is not logged in that way. It is held for delivery on a best-effort basis, and a broker restart can lose it.
That guarantee covers the payload exactly as the producer sent it: the body, the headers, and the properties attached at send time. Nothing gets added later. A consumer can spend twenty minutes working through a message, compare it against three systems, and reach a careful decision, and the store still contains only the original payload, unchanged. When the consumer acknowledges the message, the broker treats its job as done and deletes the message from the store. The one piece of evidence that any work happened is the absence of the message itself, and an absence carries no reasoning that a later run can read.
Time to live puts the same boundary in time. A message can carry an expiration, and once that time passes the message is no longer delivered as normal work. Retention is therefore a window for delivery, not an archive of activity. ActiveMQ keeps an input available long enough for a consumer to take it. It does not keep a growing history of what consumers did with every input they took.
Queues and durable topics remember delivery, in different ways
A queue holds one copy of a message, in first-in, first-out order, for whichever suitable consumer takes it next. The message stays in the store until a consumer receives and acknowledges it, and then it is gone. That design suits work distribution: many consumers can share a queue, and each message goes to one of them. It also means the queue has no record of yesterday's handling. A consumer returning in the morning finds the messages that are still waiting, in order, with their original content intact. It does not find notes from the consumer that worked the evening shift.
Topics split the picture by subscription type. A non-durable subscriber receives only the messages published while it is connected, so anything published during a disconnect is simply missed. A durable subscription works differently. It is registered under a combination of a client identifier and a subscription name, and the broker retains persistent messages for that subscriber while it is offline. When the subscriber reconnects with the same identity, the broker delivers the messages it missed, in sequence, and a message is held until every durable subscriber has received and acknowledged its copy, or until it expires.
That is real retention, and it solves a real problem: a subscriber can go offline without losing its place. Notice what the retained item still is. The broker kept an undelivered copy and a pointer showing how far that subscriber has progressed. It did not keep a summary of the messages the subscriber already processed, the decisions those messages led to, or the context shared with other subscribers working on related work. Durability answers the question of whether a message will arrive. It does not answer the question of what an agent should remember before the next message arrives.
What the next run actually needs before it starts
A scheduled agent consuming from a queue or a topic usually needs four things at the start of a run. It needs to know which messages were already handled to completion, so a redelivery or a similar new message does not trigger the same work twice. It needs the conclusions earlier runs reached, so a question settled last week stays settled. It needs the reasoning behind a decision, so a later run can tell why a step was skipped instead of guessing. And it needs that past to be shared, so another agent working in another tool on related messages reads the same history instead of a private fragment.
ActiveMQ supplies none of those four, because none of them are messages waiting for delivery. They are memory, and memory belongs in a layer built to hold it.
That layer is what Vilix AI provides. Vilix AI is cloud-hosted, with zero infrastructure to run: there is no extra broker to provision and no memory service to operate beside the existing setup. The same memory is available everywhere over MCP, so the consumer doing the work, the chat tool used to review the outcome, and every other connected agent read and write one shared memory rather than separate local notes. Vilix AI also stores full conversation history, not just extracted facts, so a later run can revisit what was actually discussed and decided, in context, instead of working from a compressed summary.
The division of labor stays clean. Let ActiveMQ do the job it is built for: logging persistent messages to disk, holding each queue message until one consumer acknowledges it, and retaining topic messages for durable subscribers until they reconnect. Let the memory layer hold what a broker was never shaped to hold: the record of finished work, the conclusions, and the reasoning, written by each run as it ends and read by the next run before it begins. A redelivered or repeated message then meets an agent that can check that record first, recognize work already done, and move straight to what is genuinely new.
There is no cost to testing the split. Vilix AI has a free plan that stays free forever, and Pro comes with a 7-day trial that needs no credit card. The memory remains portable throughout: export everything or delete it anytime. ActiveMQ will keep the next message safe until a consumer is ready for it. The memory makes sure the consumer arrives ready, carrying every earlier run with it instead of a blank start and a payload.