MoonshotAI / MoonshotAI/kimi-cli

kimi code vscode 插件很耗内存 || kimi code vscode plug-in consumes a lot of memory

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bug
Dominant language
Python
Stars
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Forks
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Avg merge
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Merged PRs (30d)
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Description

What version of Kimi Code CLI is running?

0.4.5

Which open platform/subscription were you using?

vscode

Which model were you using?

No response

What platform is your computer?

Darwin 23.6.0 arm64 arm

What issue are you seeing?

我使用vsocde 安装kimi code 插件, 在长时间执行一个任务,大概context 占用57%,左右的时候 vscode 占用的20g 内存。 我总共打开了两个vscode 窗口, 当我把kimi code 正在运行的vscode 窗口关闭之后,vscode 占用8g 内存。
并且在关闭vscode 的时候,提示卡顿。

What steps can reproduce the bug?

在vscode 安装kimi code

What is the expected behavior?

No response

Additional information

No response


What version of Kimi Code CLI is running?

0.4.5

Which open platform/subscription were you using?

vscode

Which model were you using?

No response

What platform is your computer?

Darwin 23.6.0 arm64 arm

What issue are you seeing?

I used vsocde to install the kimi code plug-in. When executing a task for a long time, the context occupied about 57%, and vscode occupied about 20g of memory. I opened a total of two vscode windows. When I closed the vscode window where kimi code was running, vscode occupied 8g of memory.
And when closing vscode, it prompts for lag.

What steps can reproduce the bug?

Install kimi code in vscode

What is the expected behavior?

No response

Additional information

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No source file, test, or entry point is identified in the report. Reproduce the issue with Kimi Code CLI 0.4.5 in VS Code on Darwin 23.6.0 arm64 during a long-running task, measure memory growth and shutdown behavior, and use those observations to define the fix and its verification.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, vscode
Domain
desktop, developer-experience
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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