Why does Cline forget my project context?

Cline forgets your project context because each task starts a fresh conversation tied to your current VS Code workspace, with no global memory of prior tasks or other repos. The community-driven Memory Bank is per-workspace markdown that you maintain by hand. The fix is to plug Cline into a persistent memory layer through its built-in MCP support so context loads automatically on every task.

Cline is an open-source coding agent that lives as a VS Code extension and runs in plan/act mode against your current workspace. Three design choices produce the forgetting you see:

1. Tasks are isolated. Every time you click New Task, Cline opens a fresh conversation with empty short-term memory. The previous task's exploration, file reads, and decisions are not loaded — they only exist as historical entries in your task list. The agent does not consult them automatically.

2. Context comes from the workspace, not a project store. Cline reads from the files and folders open in VS Code. If the answer to "why is this function written this way?" lives in a Slack thread, a Linear ticket, or last week's ADR, it never enters the model's context.

3. The Memory Bank is opt-in markdown. The community pattern of a memory-bank/ folder with projectbrief.md, activeContext.md, and similar files is a useful convention, but you write and update those files manually. Forget to update them and Cline drifts. Switch laptops and you ship the folder by hand.

The result: Cline is brilliant inside a task, blank between them.

Every restart of VS Code or a new task costs you 5–15 minutes of re-orientation, and the cost compounds:

• Re-exploration. Cline reads package.json, walks src/, opens README, and rebuilds a mental map you already taught it yesterday. Every minute of that is a token bill.
• Conventions reset. "We use Zustand, not Redux. Server actions, not API routes." If it is not in your Memory Bank, you paste it again.
• Decisions evaporate. "We rejected the optimistic update because of the websocket race condition" stays in the task you closed. The new task confidently proposes optimistic updates.

The fix is not "write a longer Memory Bank" — it is to keep project context outside any single task or workspace.

Cline ships and inherits three features that partly address persistence. None solves it on their own.

Plan/Act mode separates "agree on the approach" from "do the work". It is excellent inside one task, and offers nothing across tasks. The plan you carefully refined disappears with the task.

Memory Bank (community pattern) is a memory-bank/ directory you check into the repo with projectbrief.md, productContext.md, activeContext.md, systemPatterns.md, techContext.md, and progress.md. It works only as well as your discipline at updating it. There is no automatic capture, no conflict resolution, and no versioning beyond git.

Native MCP server support lets Cline attach to Model Context Protocol servers from its VS Code settings. This is the integration point that matters. The full Cline source and MCP docs live at the official repo, github.com/cline/cline. With MCP wired up, Cline can read project memory from an external store on every task.

The deeper problem is that project context is bigger than one workspace. You probably run Cline on a laptop, a workstation, and sometimes a teammate's machine. You may switch between Cline and Cursor depending on the task. None of those environments share state, and a memory-bank/ folder is only updated when somebody remembers to update it.

Project memory needs to live above the editor, not inside the workspace.

MemoryLake is a cross-model memory layer that Cline reads from on every task. Instead of relying on hand-edited markdown, you give the project its own memory and let every New Task open with the full context already loaded.

• Per-project memory, not per-workspace. Briefs, ADRs, conventions, and prior task summaries live against the project. Open a new Cline task in the same repo or a fresh clone on a different machine and the context is there.
• Automatic capture, not manual journaling. Decisions, library choices, and important file maps get stored as Memories you can query. No more "I forgot to update the Memory Bank last sprint".
• 10,000× the retrieval reach of raw prompting. MemoryLake's retrieval engine pulls from billions of tokens of project memory and feeds Cline only what is relevant per turn, so you stop blowing the context window re-exploring the codebase.

MemoryLake scored 94.03% on the LoCoMo long-context benchmark, the top published result as of 2026, with millisecond retrieval and AES-256 end-to-end encryption.

1. Create a project and load your context. Sign in to MemoryLake, open Project Management, click Create Project, and name it something like "Cline — Acme web app". Drop your existing memory-bank/ markdown, ADRs, briefs, and runbooks into the Document Drive. Add house conventions and stack notes through the Memories tab so they travel with the project.
2. Generate an MCP Server endpoint. Open the MCP Servers tab inside your project, click Add MCP Server, name it "Cline integration", and click Generate. MemoryLake returns an API key ID, secret, and endpoint URL. Copy the Bearer token immediately — it is shown only once.
3. Connect Cline through VS Code MCP settings. Open Cline's MCP Servers panel in VS Code, click Add Server, paste the MemoryLake endpoint URL, and add the Bearer token in the auth header. Save and reload the window. Every new task now opens with project context, conventions, and prior decisions already loaded.