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- 🧠 Best AI Agent Memory Frameworks to try in 2026
🧠 Best AI Agent Memory Frameworks to try in 2026
🦾Plus: 🛣️ Google launches Gemini-powered Maps
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
📊Best Data Visualization Projects of 2025
⚡Nvidia ships new open model for agentic workloads
📊Claude now generates charts and diagrams in chat
🧩The Perplexity API platform is now a full-stack
🏥 Microsoft’s step toward ‘medical superintelligence’
💡 AI Tutorial:Use ChatGPT Agent Mode to Apply for Jobs Automatically
AI Tools and Data Tools to checkout
Memory helps AI agents evolve from stateless tools into intelligent assistants that learn and adapt. Without memory, agents cannot learn from past interactions, maintain context across sessions, or build knowledge over time. In this article, you will learn six practical frameworks you can use to give AI agents persistent memory for better context, recall, and personalization.
AI Agents Are Reading Your Docs. Are You Ready?
Last month, 48% of visitors to documentation sites across Mintlify were AI agents—not humans.
Claude Code, Cursor, and other coding agents are becoming the actual customers reading your docs. And they read everything.
This changes what good documentation means. Humans skim and forgive gaps. Agents methodically check every endpoint, read every guide, and compare you against alternatives with zero fatigue.
Your docs aren't just helping users anymore—they're your product's first interview with the machines deciding whether to recommend you.
That means:
→ Clear schema markup so agents can parse your content
→ Real benchmarks, not marketing fluff
→ Open endpoints agents can actually test
→ Honest comparisons that emphasize strengths without hype
In the agentic world, documentation becomes 10x more important. Companies that make their products machine-understandable will win distribution through AI.
Many datasets were analyzed and many charts were made this year. If I liked a project, it was on FlowingData. But only a handful can be the best. These are my favorite data visualization projects from 2025
The chipmaker just released Nemotron 3 Super, a hybrid Mamba-Transformer model built for multi-agent systems. While it features 120B total parameters, only 12B are active, allowing it to deliver five times the throughput of previous versions. With a native 1M-token context window, it’s built to handle complex, long-form tasks like software development and cybersecurity triaging.
Anthropic has just shipped a beta update enabling Claude to create interactive visuals, including flowcharts, bar graphs, maps, and decision trees, right inside the conversation window. Claude automatically selects the best format for a query and lets users refine the output using follow-up prompts. The feature is available across all free and paid plans
The Perplexity API platform replaces model providers, search layers, and embeddings. It allows developers to swap between the latest frontier models and configure curated presets, tool access, step limits, and token budgets, all from one endpoint. Developers have direct access to the same index that powers Perplexity to call real-time information with citations within apps and agents.
Go self-serve with SDKs & APIs—or talk to the team for enterprise-grade deployment, compliance, and secure concurrency.
👨💻 Data Tools, Libraries
Superpowers: This coding agent framework implements a disciplined, junior-engineer-style workflow. Incorporating structured phases like brainstorming, explicit design, TDD, and planning enables agents to ship reliable code autonomously.
docker-pgautoupgrade
A PostgreSQL Docker container that automatically upgrades your database.
Lets-Plot
An open-source plotting library for statistical data.
AI News:
Google just dropped a major Gemini-powered upgrade for Maps, introducing two new features: Ask Maps, which lets you ask questions and get relevant answers to plan trips, and Immersive Navigation, which renders the route in 3D. Ask Maps simplifies trip planning by letting you ask questions about the route/stops, with Gemini fetching from 300M+ places and reviews to answer.
Facts. Without Hyperbole. In One Daily Tech Briefing
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Forward Future is read by builders, operators, and leaders from NVIDIA, Microsoft, and Salesforce who want signal over noise and context over headlines.
And you get it all for free, every day.
Adobe’s CEO Shantanu Narayen will step down… after a successor has been appointed. Narayen joined Adobe in 1988 as a vice president and general manager, and he became CEO in 2007. He plans to stay on as the design software company’s chair and hold his additional responsibilities as lead independent director of Pfizer.
Microsoft AI debuted Copilot Health, a new AI experience that uses your health records, wearable data, and medical history to give personalized insights — moving toward what CEO Mustafa Suleyman describes as “medical superintelligence.” Sitting as a secure space within Copilot, the new offering connects to 50+ wearables, EHR records from 50K+ U.S. hospitals, and Function lab results.
Meta has unveiled plans for a new series of internally developed AIchips as the company moves to strengthen control over the infrastructure powering its rapidly expanding AI workloads. MTIA 300, 400, 450, and 500 will power recommendation systems across Facebook and Instagram, reducing reliance on third-party suppliers.
Security startup CodeWall revealed its AI agent broke into McKinsey's internal AI ‘Lilli’ in under two hours, gaining full read-write access to a database with confidential chat messages, client files, and user accounts — all in plain text. As McKinsey’s AI for chat, analysis, and search across 100K+ internal documents, Lilli is used by 70% of its staff, some 45K people, for client work.
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AI Tutorial
Use ChatGPT Agent Mode to Apply for Jobs Automatically
Let ChatGPT handle job hunting for you, find matching roles, review listings, and draft tailored applications with ease.
Here’s how to do it (step-by-step): 👇
Step 1: Open ChatGPT and click the “+” icon next to the message bar and select Agent Mode (or type /agent).
Step 2: Paste this prompt, including your resume/CV:
“Act as my recruiter. Find 3–5 remote marketing roles in the U.S. that match my experience. Compare them to my resume and write personalized application drafts.”
Step 3: The Agent will browse job sites, match roles to your skills, and generate drafts, pausing for permission at key actions (like following links/applying).
Step 4: Review, edit tone or length, then send. You can also ask for LinkedIn outreach drafts for the same roles.
💡 Quick Tip: Give the Agent clear constraints upfront (salary range, timezone, company size, industries). The more specific you are, the better the role matching.
🔥Top AI tools to increase productivity:
Marblism generates a fully-functional web application from a single prompt
Clipwing A tool for cutting long videos into dozens of short clips
Overlap: Clips, reformats, and posts long-form videos.
CrePal: Turns your ideas into stunning videos.
Mastersheets: Unifies data with role-based spreadsheet workflows.
SmartTalk: Automates WhatsApp customer responses 24/7.
Voice Isolator: Removes background noise and isolates vocals.
FlowPost: Schedules branded posts across multiple platforms.
FreeBeat: Turns music and ideas into viral videos,
View our database of all the best AI tools for your needs: aitoolsup.com
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A.I. Generated Image of the Day
👀 Torquemada - Messier 16
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