On my computer
Run directly on a local machine
Download desktop appCathyGO helps children, parents, teachers, and self-learners turn questions, mistakes, notes, and projects into personalized learning paths.
It understands goals, follows curriculum standards, remembers progress, and plans the next step.
Turns every learning moment into a growth loop.

Active planning
Understands learning goals and turns them into clear next steps.
Curriculum-aware
Connects learning with standards, knowledge points, and structured paths.
Long-term memory
Remembers mistakes, notes, questions, and progress over time.
Human-AI collaboration
Helps learners, parents, and teachers work around a shared learning record.
TutorBot is an AI assistant with personality and long-term memory that can be deployed to the cloud for always-on learning support.
Deployment options
Run directly on a local machine
Download desktop appDeploy an isolated 24/7 assistant on a cloud server
CreateDeploy inside a school or organization with local data boundaries
Contact usCathyGO does not rush to finish homework for a child. It turns a stuck moment into a loop of understanding the question, explaining the concept, practicing the method, and reviewing over time.
Take a photo of a question, mistake, or test paper. CathyGO reads the problem, diagrams, known conditions, and the child's written steps, then organizes them into a clear learning page.
CathyGO turns the current gap into an explanation, similar examples, a micro quiz, and review cards so children know what to learn next.
Explanation, practice, quiz, and review are organized around the weak point.
TutorBot guides like a patient learning companion: it asks what the child understands, gives clues when stuck, and asks why after a correct step.
The goal is not to hand in homework, but to help the child explain and practice.
Every explanation, quiz, and review becomes learning memory, tracking mastery, weak points, and the next review so one answer becomes long-term support.
Whether you are a student, parent, teacher, or lifelong learner, CathyGO offers the right kind of learning companion.
For students
Understand first, then practice. Step-by-step explanations and short checks turn each mistake into real mastery.

For parents
Understand where a child is stuck and what should come next, making parent-child follow-up calmer.

For teachers / tutors
Use learning packs and progress overviews to follow weak points and review plans more efficiently.

For lifelong learners
Turn scattered questions into executable learning paths, cumulative review, and structured self-study.
CathyGO does not use learning data, including photographed questions, conversations, and model responses, for unrelated training. Data boundaries stay clear in family and school settings.
TutorBot is designed to help children understand, practice, and review instead of skipping thought and handing over a result.
CathyGO evolves through open collaboration: code can be reviewed, models can be swapped, and data boundaries stay clear.
Core capabilities are transparent and open to feedback.
Connect open models and toolchains flexibly.
Learning data ownership stays clear and privacy-first.
CathyGO helps children, parents, teachers, and self-learners turn questions, mistakes, notes, and projects into personalized learning paths.
It understands goals, follows curriculum standards, remembers progress, and plans the next step.
Turns every learning moment into a growth loop.

Active planning
Understands learning goals and turns them into clear next steps.
Curriculum-aware
Connects learning with standards, knowledge points, and structured paths.
Long-term memory
Remembers mistakes, notes, questions, and progress over time.
Human-AI collaboration
Helps learners, parents, and teachers work around a shared learning record.
TutorBot is an AI assistant with personality and long-term memory that can be deployed to the cloud for always-on learning support.
Deployment options
Run directly on a local machine
Download desktop appDeploy an isolated 24/7 assistant on a cloud server
CreateDeploy inside a school or organization with local data boundaries
Contact usCathyGO does not rush to finish homework for a child. It turns a stuck moment into a loop of understanding the question, explaining the concept, practicing the method, and reviewing over time.
Take a photo of a question, mistake, or test paper. CathyGO reads the problem, diagrams, known conditions, and the child's written steps, then organizes them into a clear learning page.
CathyGO turns the current gap into an explanation, similar examples, a micro quiz, and review cards so children know what to learn next.
Explanation, practice, quiz, and review are organized around the weak point.
TutorBot guides like a patient learning companion: it asks what the child understands, gives clues when stuck, and asks why after a correct step.
The goal is not to hand in homework, but to help the child explain and practice.
Every explanation, quiz, and review becomes learning memory, tracking mastery, weak points, and the next review so one answer becomes long-term support.
Whether you are a student, parent, teacher, or lifelong learner, CathyGO offers the right kind of learning companion.
For students
Understand first, then practice. Step-by-step explanations and short checks turn each mistake into real mastery.

For parents
Understand where a child is stuck and what should come next, making parent-child follow-up calmer.

For teachers / tutors
Use learning packs and progress overviews to follow weak points and review plans more efficiently.

For lifelong learners
Turn scattered questions into executable learning paths, cumulative review, and structured self-study.
CathyGO does not use learning data, including photographed questions, conversations, and model responses, for unrelated training. Data boundaries stay clear in family and school settings.
TutorBot is designed to help children understand, practice, and review instead of skipping thought and handing over a result.
CathyGO evolves through open collaboration: code can be reviewed, models can be swapped, and data boundaries stay clear.
Core capabilities are transparent and open to feedback.
Connect open models and toolchains flexibly.
Learning data ownership stays clear and privacy-first.