AIR-Agent

AI Research Agent: An autonomous assistant that crawls arXiv papers and AI news, generates LLM summaries, performs RAG retrieval, and delivers insights via multi-platform bots.

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Features

• Collects data using web crawlers from the following sources:
  • Latest AI research papers from arXiv
  • AI-related online news
  • Hacker News
  • Technical posts on X (Twitter)
  • Trending discussions on Reddit
  • AI-related GitHub repositories with rapidly growing star counts
• Generates high-quality summaries and extracts key insights from collected content
• Supports multi-paper analysis: retrieves multiple arXiv papers on the same topic and generates a comparative technical report
• Builds a vector knowledge base to answer user queries based on the collected textual data (RAG)
• Provides long-term memory capabilities with memory management, dynamic filtering, and compression
• Pushes the latest updates to Discord / LINE / Telegram / Email. Users can subscribe or interact, and recommendations are dynamically optimized based on user engagement
• Assists users in writing LaTeX research paper drafts, providing review suggestions, and generating presentations or research proposals
• Uses external tools to help users schedule and organize tasks automatically
• Analyzes time-series trends of popular keywords to predict future technology developments

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Development Roadmap

Week	Start Date	Main Task	Details	Completed
1	02/24	Project Planning	Topic selection, feature brainstorming, architecture design, and project scheduling	[x]
2	03/03	Web Crawler Development	Python Selenium for automated data collection	[x]
3	03/10	Relational Database	Data cleaning and PostgreSQL storage	[ ]
4	03/17	LLM-based Summarization	LLM API integration and system prompt design	[ ]
5	03/24	Discord Bot	discord.py implementation and slash commands	[ ]
6	03/31	RAG Implementation	Embeddings, Vector DB (FAISS), chunking, reranking, metadata filtering	[ ]
7	04/07	Memory Module	Memory management system and context engineering	[ ]
8	04/14	Multi-document Analysis	Compare methods across multiple papers or projects and generate performance comparison tables	[ ]
9	04/21	Multi-platform Notifications	LINE Bot, Telegram Bot, Email integration	[ ]
10	04/28	Interaction System	Track user behavior: CTR, dwell time, likes, subscriptions, ratings, questions, and shares	[ ]
11	05/05	Research Assistant	Generate LaTeX paper drafts, review suggestions, presentations, or research proposals	[ ]
12	05/12	MCP / Tool Calling	Integrate external tools such as Google Docs, Calendar, Email, etc.	[ ]
13	05/19	Keyword Trend Prediction	Use LSTM and sliding window for forecasting future technology trends	[ ]
14	06/02	RLHF	Design reward functions based on user interactions to dynamically optimize recommendations and ranking weights	[ ]
15	06/02	Integration, Optimization, Testing	Module integration, performance optimization, and system testing	[ ]
16	06/09	Final Presentation	Demo and presentation	[ ]