AI Agent
2AI agents are starting to eat SaaS(martinalderson.com)💡 The story focuses on AI agents (Claude Code, Gemini3) replacing SaaS tools for tasks like dashboard building, video encoding, UI mockups, and presentations—aligning with the agents category covering agentic workflows and task automation. 3My payment agent is named George, not stripe-agent(blog.kestrelsnest.social)💡 The article is a personal reflection on naming AI sub-agents after inspiring figures to maintain human-centric design in AI-assisted development, focusing on societal impact and ethical use of AI tools. 4Show HN: Sim – Apache-2.0 n8n alternative(github.com)💡 The story presents Sim, an Apache-2.0 licensed alternative to n8n (a workflow automation tool) from simstudioai, implying it's an AI-powered workflow automation tool that fits into agentic workflows under the agents category. 5Agentic AI Foundation(block.xyz)💡 The story covers the launch of the Agentic AI Foundation by Block, Anthropic, OpenAI, and other companies, along with their collaborative partnerships and strategies to advance open source agentic AI—this falls under business & corporate news. 6Donating the Model Context Protocol and establishing the Agentic AI Foundation(anthropic.com)💡 The story centers on donating the Model Context Protocol (MCP)—explicitly listed in the agents category for agentic workflows and tool use—to the Agentic AI Foundation, which focuses on agentic AI development. It also highlights MCP's role in optimizing complex agent workflows and tool calling capabilities. 8Agentic Development Environment by JetBrains(air.dev)💡 The story introduces JetBrains' agentic development environment that leverages autonomous AI agents (e.g., Claude Agent) to handle complex coding tasks, which aligns with the 'agents' category focusing on autonomous agents and agentic workflows for task automation. 9Effective harnesses for long-running agents(anthropic.com)💡 The story focuses on solving challenges in long-running autonomous agents using Anthropic's Claude Agent SDK, including incremental progress and context management across sessions—directly aligning with the 'agents' category covering autonomous workflows and tool use. 12MCP Apps: Extending servers with interactive user interfaces(blog.modelcontextprotocol.io)💡 The article announces the MCP Apps Extension proposal to standardize interactive UI support for Model Context Protocol (MCP) servers, which are integral to agentic workflows and tool use—key components of the agents category. 13An Economy of AI Agents(arxiv.org)💡 The story is an arXiv academic paper discussing AI agents' interactions with humans, market dynamics, and institutional needs, which falls under the research category per rule 4 (research papers → research). 15Agent design is still hard(lucumr.pocoo.org)💡 The story focuses on challenges and lessons learned in building AI agents, including SDK selection, cache management, tool use issues, and agent loop design—core topics under the 'agents' category. 16Launch HN: Mosaic (YC W25) – Agentic Video Editing(mosaic.so)💡 Mosaic is an agentic video editing tool, whose core function lies in generative media (video editing) as per category definitions, making 'media' the most specific category even with agentic capabilities. 18What if you don't need MCP at all?(mariozechner.at)💡 The story focuses on agentic systems, discussing the inefficiencies of MCP servers (used in agent tooling) like high context consumption and poor composability, and proposing Bash/code alternatives for agent tasks such as web scraping and frontend work—aligning with the 'agents' category covering autonomous agents and agentic workflows. 22You should write an agent(fly.io)💡 The story focuses on why and how to write an LLM agent, emphasizing hands-on practice to understand agent concepts deeply, which aligns with the agents category. 23Streaming AI agent desktops with gaming protocols(blog.helix.ml)💡 The title explicitly mentions streaming AI agent desktops with gaming protocols, which aligns with the agents category covering autonomous AI agents and their interaction/streaming capabilities. 26Agent-o-rama: build, trace, evaluate, and monitor LLM agents in Java or Clojure(blog.redplanetlabs.com)💡 The story introduces Agent-o-rama, an open-source development framework for building, tracing, evaluating, and monitoring LLM agents in Java/Clojure. It fits the Engineering > Tools category as it's a development tool for AI applications, similar to LangChain or LangGraph listed under Tools.