Agents Object Oriented Structure
Development
reg.finalizer function - RDocumentation
Registers an R function to be called upon garbage collection of
object or (optionally) at the end of an R session.
GitHub - MarkusPfundstein/mcp-obsidian: MCP server that interacts with Obsidian via the Obsidian rest API community plugin
MCP server that interacts with Obsidian via the Obsidian rest API community plugin - MarkusPfundstein/mcp-obsidian
⚾ Fantasy League Lineup Pro 🏆-Free AI-Powered Fantasy Baseball
Optimize your fantasy baseball lineup with ⚾ Fantasy League Lineup Pro 🏆. Utilize AI for player analysis, real-time updates, and strategic lineup decisions in a user-friendly interface.
https://blog.routinehub.co/ai-store-the-ultimate-hub-for-discovering-ai-shortcuts/
For AI shortcut enthusiasts, the tool that will help you stay up-to-date with all the available AI shortcuts has finally arrived. AI Store, developed by @__MIKL__, is the ultimate tool for exploring, downloading, and managing the latest AI projects within the RoutineHub community. With AI Store, you have instant access to a constantly growing database, directly from your device, without the need to search through multiple sources.
AI Store
AI Store allows users to view AI-based shortcuts, s
AI-Assisted Development Best Practices: From My Experience | Repomix
Pack your codebase into AI-friendly formats
The /llms.txt file – llms-txt
A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.
LLMs.txt Generator | Firecrawl
Transform websites into clean, LLM-ready text files
Generate llms.txt
Generate llms.txt for any website
Code Search | Grep by Vercel
Search for code, files, and paths across half a million public GitHub repositories.
Memory Bank: How to Make Cline an AI Agent That Never Forgets - Cline Blog
Imagine a detective who loses his memory every time he falls asleep. To solve cases, he develops an ingenious system: tattooing critical facts on his body and keeping a carefully organized set of Polaroid photos. Each time he wakes up, he can quickly rebuild his understanding by following his own documentation system. That's the plot of Memento, and it inspired how we solved a common problem with AI coding assistants.
Dont Believe His Lies Memento GIFfrom Dont Believe His Lies GIFs
Here's
PSProfile/README.md at main · SCRT-HQ/PSProfile
PSProfile is a cross-platform PowerShell module built for profile customization. It uses PoshCode's Configuration module to handle the layered Configuration. - SCRT-HQ/PSProfile
https://juliasilge.com/blog/r-pkg-releas/
A data science blog
Composio MCP Server
Harness Local LLMs and GitHub Copilot for Enhanced R Package Development - Dr. Mowinckel’s
Unlocking code assistance with local LLMs & GitHub Copilot! Discover R optimization & streamline your workflow.
Introducing gander - Posit
gander is an in-editor AI tool that describes R objects to improve coding efficiency.
LLM Agent Evaluation: Assessing Tool Use, Task Completion, Agentic Reasoning, and More - Confident AI
In this article, I'll share the principles of LLM agent evaluation and you how to do it using DeepEval.
DeepEval - The Open-Source LLM Evaluation Framework
Emerging Patterns in Building GenAI Products
Patterns from our colleagues' work building with Generative AI
2408.08435v2.pdf
Top 9 RAG Tools to Boost Your LLM Workflows
RAG combines LLMs with information retrieval systems. Explore top RAG tools and learn how to choose the best one for your specific use case.
Microagents: building better AI agents with microservices - Vectorize
"This thing is a tangled mess." I was relieved to hear the presenter say the words I was thinking. He had just finished walking me through a new AI agent, which I'm going to call Sherpa throughout this article. Sherpa was a proof of concept for a new AI agent their team had been working
https://vectorize.io/designing-agentic-ai-systems-part-4-data-retrieval-and-agentic-rag/
Up to this point, we've covered agentic system architecture, how to organize your system into sub-agents and to build uniform mechanisms to standardize communication. Today we'll turn our attention to the tool layer and one of the most important aspects of agentic system design you'll need to consider: data retrieval. Data Retrieval and Agentic RAG
Designing Agentic AI Systems, Part 3: Agent to Agent Interactions - Vectorize
The article discusses creating uniform interaction models in modular agentic systems for effective request dispatching among agents and subagents.
Designing Agentic AI Systems, Part 2: Modularity - Vectorize
The article looks at the benefits of modularity in agentic systems, enhancing clarity, maintainability, and reducing complexity.
How to build a better RAG pipeline - Vectorize
RAG pipelines are the key to providing your LLM-powered apps with fresh, accurate data. In this guide, we explore best practices and antipatterns.
Agentic AI Architecture: A Deep Dive
This article delves into the technical intricacies of Agentic AI Architecture, exploring its core components, key principles, development phases, technological integrations, applications, challenges, and future directions.
Designing Agentic AI Systems, Part 1: Agent Architectures - Vectorize
This guide outlines how to create efficient agentic systems by focusing on three layers: tools, reasoning, and action. Each layer presents unique challenges that can impact overall system performance.
Agentic architecture
https://wandb.ai/byyoung3/ml-news/reports/Automated-Design-of-Agentic-Systems-A-new-paradigm-for-agents---Vmlldzo5MTUzNTI1?utm_source=perplexity
The Automated Design of Agentic Systems (ADAS) is a unique approach in AI that enables the creation of agents capable of designing, testing, and refining themselves.