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.
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.
Introduction.
Few days ago I discovered the OpenAI Gym library which is a bunch of standardized AI environments written in Python to benchmark the skills of AI programs and scripts, aka agents.
Like many of you, my first real exposure to AI was when ChatGPT dropped. I spent way too much time prompting it with random stuff, used it for some PowerShell, and tried out the voice feature when that launched. Mostly, I’ve used AI for things like writing docs, double-checking my grammar and English, and making some funny pictures.
Let’s start this with some confessions: I’m at best an enthusiastic amateur with AI. I know more than most, and I know nothing in the grand scheme. Example: I’m not sure I have any idea of what an AI agent is. I think I do, but there’s so much marketing hype around them that I
A flexible, feature-rich yet light-weight logging
framework based on R6 classes. It supports hierarchical loggers,
custom log levels, arbitrary data fields in log events, logging to
plaintext, JSON, (rotating) files, memory buffers. For extra
appenders that support logging to databases, email and push
notifications see the the package lgr.app.
Hi Obsidian Community! https://github.com/PublikPrinciple/obsidian-mcp-rest I’m working on implementing an MCP (Model Context Protocol) server that integrates with Obsidian’s Local REST API plugin. The goal is to allow AI assistants like Claude to interact directly with Obsidian vaults in a secure, local manner. Project Overview GitHub Repository: GitHub - PublikPrinciple/obsidian-mcp-rest: An MCP server implementation for accessing Obsidian via local REST API Purpose: Enable AI assistants ...
What is the Model Context Protocol (MCP)? — WorkOS
Anthropic developed the Model Context Protocol (MCP), an open standard that connects AI assistants to systems where data actually lives—content repositories, business tools, development environments, and more.
GitHub Copilot: The agent awakens - The GitHub Blog
Introducing agent mode for GitHub Copilot in VS Code, announcing the general availability of Copilot Edits, and providing a first look at our SWE agent.
Provides a number of utilities for describing R objects and package documentation in plain text. For interactive use, this is especially powerful for describing relevant pieces of context to large language models. When used programmatically, these utilities can be registered with ellmer chats as tool calls, enabling language models to peruse package documentation and explore your computational environment.
The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).
The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).