Skillget

AIR-Agent

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  • License — License: MIT
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  • Active repo — Last push 0 days ago
  • Low visibility — Only 6 GitHub stars
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SUMMARY

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.

README.md

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.

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

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 SQLite storage (papers + interactions) [x]
4 03/17 LLM-based Summarization LLM API integration and system prompt design [x]
5 03/24 Discord Bot discord.py implementation and slash commands [x]
6 03/31 RAG Implementation Embeddings, Vector DB (FAISS), chunking, reranking, metadata filtering [x]
7 04/07 Memory Module Memory management system and context engineering [x]
8 04/14 Multi-document Analysis Compare methods across multiple papers or projects and generate performance comparison tables [x]
9 04/21 Multi-platform Notifications LINE Bot, Telegram Bot, Email integration [x]¹
10 04/28 Interaction System Track user behavior: CTR, dwell time, likes, subscriptions, ratings, questions, and shares [x]
11 05/05 Research Assistant Generate LaTeX paper drafts, review suggestions, presentations, or research proposals [x]
12 05/12 MCP / Tool Calling Function-calling framework + local tools (search, trends, task scheduling) [x]²
13 05/19 Keyword Trend Prediction Keyword timeseries + sliding-window forecast (LSTM, plus moving-average / linear) [x]
14 06/02 RLHF Bradley–Terry preference reward model learns action weights from pairwise interactions to optimize ranking [x]
15 06/02 Integration, Optimization, Testing Module integration and an offline pytest suite (93 tests) [x]
16 06/09 Final Presentation Demo and presentation [ ]

Notes

  • ¹ Telegram / Email / LINE adapters and dispatcher are implemented and unit-tested with injected transports; live delivery needs the user's own tokens/SMTP credentials in config/.env (see SPEC).
  • ² Tool-calling uses Groq's OpenAI-compatible function calling with local, credential-free tools. External Google Docs/Calendar can plug into the same registry later.
  • Crawlers implemented (all credential-free): arXiv, Hacker News, GitHub-trending, Reddit (public JSON) and AI news (public RSS). X (Twitter) remains the only source on the roadmap — no free public read API, so it is credential-gated.

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