xcanwin/KeepChatGPT
KeepChatGPT
这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。
Usage guide
KeepChatGPT is an open-source project around chatgpt, datasecurity, openai with 14,891 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in JavaScript, useful for judging integration effort in a similar stack.
- GitHub detected the GPL-2.0 repository license, which does not by itself confirm commercial permission. Review repository obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- GitHub is the main evaluation surface; review the README, issues, and recent commits first.
Best for
- Evaluating KeepChatGPT for JavaScript AI workflows.
- Comparing a GitHub project with 14,891 stars and current repository activity.
Pros
- KeepChatGPT has visible GitHub traction with 14,891 stars. Topics: ai, chatgpt, datasecurity.
- The GitHub repository is the primary evaluation surface.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the GPL-2.0 terms fit your use case.
Production readiness
KeepChatGPT should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
GPL-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
KeepChatGPT architecture preview
KeepChatGPT's main path starts at the entry surface, runs through KeepChatGPT core runtime, combines OpenAI, Runtime context, GitHub, and returns User-facing result.
Entry
Repository setup
KeepChatGPT starts from the repository setup path and documented examples.
git clone https://github.com/xcanwin/KeepChatGPT.git
Runtime
KeepChatGPT core runtime
The core coordinates project logic, configuration, and AI-related execution in JavaScript.
JavaScript
Model
OpenAI
Model calls are likely routed through OpenAI based on README and topic signals.
OpenAI
Context
Runtime context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
GitHub
Tool adapters let the runtime act outside the model through GitHub.
GitHub
Output
User-facing result
The final output is returned to the user, workflow, API caller, or downstream system.
output
Install tutorial
Before you install
- Node.js and the package manager used by the project
- A clean working directory for the first test run
Check the runtime environment
KeepChatGPT uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/xcanwin/KeepChatGPT.gitInstall or build dependencies
No extra setup command was detected. Check the README before adding custom configuration.
Adoption guidance and sources
Practical use cases
这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不
This is one of the documented reasons to evaluate KeepChatGPT before choosing a stack.
Focus area: ai
This is one of the documented reasons to evaluate KeepChatGPT before choosing a stack.
All project comparison
Compare KeepChatGPT with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official KeepChatGPT setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented KeepChatGPT example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is KeepChatGPT?
KeepChatGPT is an open-source all project. 这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。
How do I install KeepChatGPT?
Start with the official README. The first detected setup step is: git clone https://github.com/xcanwin/KeepChatGPT.git.
Is KeepChatGPT beginner-friendly?
If you already know the JavaScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can KeepChatGPT be used commercially?
GitHub detected the GPL-2.0 repository license, which does not by itself confirm commercial permission. Review repository obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does KeepChatGPT need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt KeepChatGPT?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.