AI/TLDR — New AI Releases Daily: Models, Tools, Repos & PapersA high-volume feed of new AI releases — models, open-source repos, developer tools, papers, datasets, and benchmarks — refreshed every 8 hours. Each release is explained in plain English so you actually understand what shipped.This site uses JavaScript to render the interactive feed. Enable JavaScript, or visit the source repo for the raw JSON.

AI/TLDR

AI Agents

Models that loop, use tools, remember, and act — the agent loop, MCP, memory, multi-agent systems, and computer use.

Agent Fundamentals

What an agent actually is, how the loop runs, and whether you need one.

BEGINNERWhat Is an AI Agent? A Plain-English Guide INTERMEDIATEWhat Is the ReAct Agent Pattern?

Tool Use & Tool Design

Giving agents hands: designing tools, controlling calls, and handling failures.

BEGINNERWhat Is Tool Use in AI Agents? From Function Calls to Actions INTERMEDIATEHow to Design Tools for LLM Agents

Model Context Protocol (MCP)

The USB-C of AI tools: using, building, and securing MCP servers.

BEGINNERWhat Is MCP (Model Context Protocol)? The USB-C of AI Tools INTERMEDIATEHow to Build an MCP Server

Planning & Memory

How agents break down tasks, manage context, and remember across sessions.

BEGINNERWhat Is Agent Planning? How AI Breaks Down Big Tasks INTERMEDIATETypes of Memory in AI Agents

Multi-Agent Systems & Computer Use

Teams of agents, subagents, and agents that drive a screen — safely.

BEGINNERWhat Is a Multi-Agent System? When One Agent Isn't Enough INTERMEDIATEWhat Are Computer Use Agents?