AGENTS

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01 March 2026 13h39

Cognee GitHub repo: (don't forget to star )

1 March 2026

The Evolution of AI Agents: From RAG to Memory-Based Systems

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01 March 2026 13h39

RAG was never the end goal.

Memory in AI agents is where everything is heading. Let me break down this evolution in the simplest way possible.

RAG (2020-2023):

– Retrieve info once, generate response
– No decision-making, just fetch and answer
– Problem: Often retrieves… pic.twitter.com/nU36jH3yVM
— Akshay 🚀 (@akshay_pachaar) 1 mars 2026

RAG was never the end goal. Memory in AI agents is where everything is heading. Let me break down this evolution in the simplest way possible. RAG (2020-2023): – Retrieve info once, generate response
– No decision-making, just fetch and answer
– Problem: Often retrieves

→ View original post on X — @kirkdborne

1 March 2026

Modular Agentic RAG system with LangGraph and HITL

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@kirkdborne

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01 March 2026 5h22

Build a modular Agentic RAG system with LangGraph, conversation memory, and human-in-the-loop query clarification using this GitHub repo:

1 March 2026

Insights and Tutorials on LLMs, AI Agents, and Machine Learning

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28 February 2026 21h29

If you found it insightful, reshare with your network.

Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!https://t.co/zXfH6v9gfy
— Akshay 🚀 (@akshay_pachaar) 28 février 2026

If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!

→ View original post on X — @reach_vb

Curiosity about experiment and feedback on verbose documentation

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@reach_vb

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28 February 2026 20h04

interesting, would be curious how your experiment goes. looked through your agents md and I wonder if it’s a bit too verbose..

→ View original post on X — @futurepedia_io

KiloClaw Deploys Production-Ready AI Agents in 60 Seconds

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@futurepedia_io

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28 February 2026 16h01

KiloClaw
Deploying agents used to take hours of dev work. KiloClaw changes that—go from zero to production-ready OpenClaw agents in under 60 seconds. No servers, no Docker, just instant autonomous agents ready to work for you.

→ View original post on X — @futurepedia_io

Siteline: Real-Time AI Bot and Agent Tracking for Websites

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@futurepedia_io

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28 February 2026 16h01

Siteline
The "agentic web" is here, and you need to know who's visiting your site. Siteline tracks AI bots and agents crawling your pages in real-time. Turn bot traffic into actionable data and optimize your content for both humans and AI search engines.

→ View original post on X — @futurepedia_io

PenguinBot: AI Agent for Email, Scheduling, Document Automation

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@futurepedia_io

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28 February 2026 16h01

PenguinBot
The "action-first" AI. PenguinBot isn't just a chatbot; it's a digital employee that handles your inbox, scheduling, and document execution in the background. It’s designed to bridge the gap between "planning" and "done."

Fixing a Major Blind Spot in HuggingFace’s LLM Fine-Tuning Skill

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28 February 2026 13h32

I just fixed a major blind spot in HuggingFace's fine-tuning skill!

HuggingFace released a skill you can plug into Claude or any coding agent that lets you fine-tune open-source LLMs with plain English.

The agent handles GPU selection, job submission, monitoring, and pushes the… pic.twitter.com/vjNydrkap4
— Akshay 🚀 (@akshay_pachaar) 28 février 2026

I just fixed a major blind spot in HuggingFace's fine-tuning skill! HuggingFace released a skill you can plug into Claude or any coding agent that lets you fine-tune open-source LLMs with plain English. The agent handles GPU selection, job submission, monitoring, and pushes the