🏗️ Building on HF

Hariprasad Sundaresan PRO

Hari5115

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AI & ML interests

LLMs, Fine-tuning, Agentic AI, RAG, Multilingual NLP, Transformers

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posted an update 1 day ago

🌌 Calling all space lovers — every "Astronomy Picture of the Day" from NASA since 1995 is now an open dataset. For 30+ years, NASA has shared one amazing image of space every single day, colorful galaxies, bright stars, planets, and the sun, each with a short explanation written by a real astronomer. It's now an open dataset that anyone can use. 🚀 📦 https://huggingface.co/datasets/Hari5115/nasa-apod Honestly, the pictures amazed me — full credit to all the photographers and astronomers behind them. 🙌 Whether you love space, enjoy building things, or just like looking at amazing pictures, this one's for you. If it gives you an idea, let's build it together. 🌠 Feel free to use the dataset, a mention or credit is always appreciated. 🙏 Data from NASA · public domain · not affiliated with NASA #space #nasa #dataset #astronomy #opensource #photographers

updated a Space 1 day ago

Hari5115/cosmic-moment

published a Space 1 day ago

Hari5115/cosmic-moment

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🌌 Calling all space lovers — every "Astronomy Picture of the Day" from NASA since 1995 is now an open dataset. For 30+ years, NASA has shared one amazing image of space every single day, colorful galaxies, bright stars, planets, and the sun, each with a short explanation written by a real astronomer.

It's now an open dataset that anyone can use. 🚀
📦 Hari5115/nasa-apod

Honestly, the pictures amazed me — full credit to all the photographers and astronomers behind them. 🙌 Whether you love space, enjoy building things, or just like looking at amazing pictures, this one's for you. If it gives you an idea, let's build it together. 🌠

Feel free to use the dataset, a mention or credit is always appreciated. 🙏

Data from NASA · public domain · not affiliated with NASA
#space #nasa #dataset #astronomy #opensource #photographers

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Something quietly caught my attention while going through this week's trending papers — Three independent teams, all converging on the same problem — and all trending on HuggingFace right now.
That kind of convergence usually means the field is quietly agreeing something needs fixing.

The problem, as I understand it:
Most of us are still stuffing conversation history into a context window and calling it memory. That's not memory — that's a very expensive clipboard.

📄 Three papers worth reading:
🔹 SkillOpt — Microsoft Research ( @Yifan Yang, @Ziyang Gong et all )
Agent skills stored as natural language that improves with real usage, no retraining needed
→ SkillOpt: Executive Strategy for Self-Evolving Agent Skills (2605.23904)

🔹 Mem0 — Mem0 (YC S24, 41K ⭐) ( @Prateek Chhikara & all )
Graph-structured memory that retrieves what's relevant not just what's recent
→ https://arxiv.org/abs/2504.19413

🔹 EverMemOS — EverMind (@Chuanrui Hu, @Xingze Gao et all )
Separates memory into episodic, semantic and procedural types — closer to how human memory actually works
→ EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning (2601.02163)

Great work from all three teams 🙌

💬 What are you actually using for agent memory in production today? Still ConversationBufferMemory, a custom schema, something else entirely? And do you think bigger context windows eventually make this problem disappear?

#AgentMemory #MemoryAugmentedAgents #LongContextLLM #AgenticAI #LangChain #SkillOpt #Mem0 #EverMemOS