AI Learning Coach Agent: A Smart Learning Workflow Assistant Integrated with Feishu

AI Learning Coach Agent is an intelligent learning workflow agent deeply integrated with Feishu. It can automatically convert daily AI information into personalized learning paths and provide functions such as completion check, answer evaluation, and project briefing generation. The project is maintained by yiplm, source from GitHub, link: https://github.com/yiplm/ai-learning-coach-agent, release time: 2026-05-28T06:46:39Z.

The rapid development of AI technology leads to information overload. Learners face difficulties in screening valuable content and converting it into systematic learning paths; traditional learning involves passive information reception, lacks personalized planning and progress tracking, and collected content is not effectively internalized. The AI Learning Coach Agent is designed for this purpose.

Daily AI Information Aggregation

Crawl and intelligently screen AI information (papers, blogs, open-source projects, etc.) from multiple sources and push to users.

Personalized Learning Path

Generate structured learning routes (such as progressive paths for large language models) based on users' interests, skills, and goals.

Completion Check

Track learning progress and generate visual completion reports.

Intelligent Answer Evaluation

Provide detailed feedback and improvement suggestions for practice answers.

Project Briefing Generation

Automatically summarize learning achievements and next-step suggestions.

Information Crawling and Processing

Obtain information from arXiv, GitHub, RSS, etc., and preprocess (deduplication, summarization, classification).

User Portrait and Recommendation

Generate personalized recommendations using collaborative filtering based on users' interests, skills, and behaviors.

Learning Path Planning

Construct paths considering knowledge dependencies, difficulty gradients, and time arrangements.

Feishu Integration Layer

Utilize Feishu's capabilities such as message push, document collaboration, and schedule management.

Evaluation and Feedback System

Use large language models to evaluate answers, provide improvement suggestions and knowledge tracking.

Individual Learners

Provide a structured framework to reduce the burden of information collection.

Enterprise Training

Customize AI skill training and track effects.

Research Teams

Track domain progress and promote knowledge sharing.

Educational Institutions

Assist teaching and reduce teachers' burden.

• Time saving: Automate screening and planning, freeing up time from information collection.
• Effect improvement: Structured paths avoid the "collecting equals learning" trap.
• Knowledge internalization: Evaluation and briefings promote deep understanding.
• Continuous growth: Establish systematic learning habits.

• Multilingual support
• Collaborative learning mode
• Integration with industry skill certification
• Deep personalized recommendation
• Cross-platform integration

AI Learning Coach Agent is an innovative project applying AI technology to learning, demonstrating the potential of agent workflows in knowledge management. Through Feishu integration, it helps learners efficiently deal with the information flood and is an open-source tool worth paying attention to.