Does Cline Remember Between Sessions? The Honest Breakdown
Does Cline Remember Between Sessions? The Honest Breakdown Cline is one of the most capable coding agents you can run inside VS Code. It reads your codebase, edits files, runs terminal commands, and holds a long conversation while it works. So the obvious question comes up fast: when you close the task and come back tomorrow, does it remember any of it? Short answer: inside a task, yes, completely. Between sessions, no, not on its own. There is a documented workaround called the Memory Bank, a
Does Cline Remember Between Sessions? The Honest Breakdown
Cline is one of the most capable coding agents you can run inside VS Code. It reads your codebase, edits files, runs terminal commands, and holds a long conversation while it works. So the obvious question comes up fast: when you close the task and come back tomorrow, does it remember any of it?
Short answer: inside a task, yes, completely. Between sessions, no, not on its own. There is a documented workaround called the Memory Bank, and it genuinely helps inside a single project. It is still not memory that follows you across projects, machines, and tools. Here is exactly what persists, what does not, and what to do about it.
Inside a task, Cline remembers everything
While a task runs, Cline carries the full conversation: every message, every file it read, every edit, every test result. Long multi-file refactors work because the agent can reference a decision from forty messages ago as easily as one from two messages ago. Checkpoints let you roll back to an earlier point in the task without losing the thread. Within one task, memory is a solved problem.
Between tasks, everything resets
Start a new task and the conversation is gone. As one long-term user put it, each conversation is a new session, with no persistent memory between sessions unless you configure something extra. The model behind Cline keeps no record of your past tasks, your decisions, or what worked last time.
What survives is whatever lives in your project files. At task start Cline reads configuration: the .clinerules folder or file, .clineignore, and workspace files like AGENTS.md if the project has one. These are standing instructions, a project constitution. They say "use TypeScript strict mode and never commit without running tests." They cannot say "last Thursday we tried three approaches to the auth middleware and the third one worked." Rules describe how to work. History describes what happened. Files give you the first, not the second, unless someone writes it down.
The Memory Bank, and what it actually is
The Cline community settled on a methodology called the Memory Bank to give sessions continuity. It is not a feature you toggle. It is a discipline: a folder of markdown documents in the project root that Cline reads at the start of each task and updates as it works.
The standard files are projectbrief.md (what the project is and what it does), activeContext.md (the current work focus, updated most often), systemPatterns.md (architecture decisions), techContext.md (the technologies in play), and progress.md (what works, what is broken, what is left). You set it up by copying the custom instructions from the Memory Bank documentation and asking Cline to initialize one. After that, "update memory bank" gets Cline to document the current state, and opening a new session with "follow your custom instructions" has it rebuild its understanding from the files before doing anything.
Used seriously, it changes multi-day projects. The agent stops asking you to re-explain the architecture, because it wrote down where it left off. For one developer on one project, it works.
The honest limits
The Memory Bank solves continuity inside one project, on one machine, for a developer who keeps it updated. Step outside that box and it falls apart.
Switch projects and the memory stays behind. The lessons from debugging the auth service do not transfer to the billing service. The files live in the repo or workspace, so a laptop and a desktop hold separate piles of notes unless you sync them yourself. It demands constant discipline: end a session in a rush without updating the notes and the next session rebuilds from stale records, then acts on them confidently. The failure mode is not forgetting, it is remembering wrong.
It is also Cline-only. The same developer runs Claude Code in a terminal, asks questions in a chat app, runs automations on a schedule. None of those see the Memory Bank. And nothing is automatic: every read and write depends on prompts and habits. No background process decides what is worth keeping. It is a well-labeled filing cabinet, and you are the clerk.
The alternative: memory that behaves like infrastructure
The gap is not unique to Cline. It is the gap between project-local notes and memory that is just there, on every machine, inside every tool, with nobody babysitting files.
Cline speaks MCP, the Model Context Protocol, so it can talk to a hosted memory service like any other MCP server. Point it at a memory layer that lives in the cloud and the agent gets memory that follows it everywhere.
That is the design behind Vilix AI. It is cloud-hosted, so there is nothing to run and no infrastructure to manage. The same memory follows you across every AI tool and every device over MCP: Cline in VS Code, the terminal agent, the chat app, the scheduled automation. It stores full conversation history, not just extracted facts, so the real conversation can be revisited anytime. The free plan is free forever, the Pro trial runs seven days with no credit card, and your data stays portable: export everything or delete it anytime.
In practice the difference shows up on the second machine and the third tool. The Tuesday session on the laptop and the Thursday session on the desktop draw on the same history. The coding agent and the chat app share what each other learned. No per-project setup, no manual updates, nothing to go stale.
Bottom line
Within a task, Cline remembers everything. Between tasks, only what you wrote into files. The Memory Bank turns those files into workable project memory, and for single-project work it is the right first move.
Files in a repo are still not a memory system. They do not cross projects, machines, or tools, and they rot the moment discipline slips. If your agents run on a schedule, if you work from more than one device, or if you use more than one AI tool, you want memory that acts like infrastructure. The Memory Bank is worth the hour it takes to set up. A hosted memory layer over MCP is what takes over when the memory needs to survive the project.