AI agents
177 stories tagged AI agents.
35 GitHub Projects Mapping the AI Agent Trust Gap
This week's GitHub trending list is less a catalog of tools and more a collective argument: developers don't fully trust AI agents yet—and they're building accordingly.
How Tailscale Is Becoming the Backbone of AI Agent Networks
How Tailscale Is Becoming the Backbone of AI Agent Networks
Tailscale is emerging as critical infrastructure for multi-agent AI setups. Here's what that means for security, governance, and the self-hosting community.
A Factory Built Its Own AI Brain Without Data Scientists
A Factory Built Its Own AI Brain Without Data Scientists
Rushabh Doshi built a 36-agent AI system to run Machinecraft's sales ops—no data team, no custom model training. Here's what he actually built, and what it can't tell you.
Small Language Models Are Reshaping Agentic AI
Small Language Models Are Reshaping Agentic AI
Small language models are outperforming larger rivals on key AI agent benchmarks. Here's what the efficiency shift means for how AI gets built and deployed.
Building AI Agents From Scratch: An Honest Assessment
Building AI Agents From Scratch: An Honest Assessment
A new freeCodeCamp course from KodeKloud walks beginners through LLMs, tool-calling, and real agent architecture using the open-source OpenClaw project.
Claude Tag Wants to Run Your Workday
Claude Tag Wants to Run Your Workday
Anthropic's Claude Tag embeds AI directly into team Slack channels. Here's what it actually does, what it can't do yet, and what it means for how teams work.
Nvidia's Autonomous AI Agents: What Actually Shipped
Nvidia's Autonomous AI Agents: What Actually Shipped
Nvidia announced NemoClaw, Nemotron-3 Ultra, and OpenShell at GTC Taipei. Here's what the technology actually does—and what questions it leaves open.
Google's Open Knowledge Format for AI Agents
Google's Open Knowledge Format for AI Agents
Google's Open Knowledge Format promises to fix how AI agents navigate knowledge bases. Here's what it actually does, what it doesn't, and why the structure matters more than the tool.
Perplexity Launches a Legal AI Agent Built for Law Firms
Perplexity Launches a Legal AI Agent Built for Law Firms
Perplexity's Computer for Counsel integrates directly into legal workflows. Here's what the product actually does—and what the broader AI agent race means for professional work.
How OpenGov Deployed AI Agents for Local Government
How OpenGov Deployed AI Agents for Local Government
OpenGov engineer Gabe De Mesa details how OG Assist brought AI agents to thousands of state and local governments—and what it actually took to make them work.
Model Context Protocol Explained: How MCP Works
Model Context Protocol Explained: How MCP Works
MCP standardizes how AI models connect to tools and data. Here's what the protocol actually does, how clients and servers talk, and why it matters for developers.
AI Agents in Production: What Actually Works
AI Agents in Production: What Actually Works
IBM's Shailaja Patel-Pranav breaks down why AI agents fail in production—and the coordination patterns that make them actually reliable in enterprise workflows.
Constrained AI Agents and the Governance Gap
Constrained AI Agents and the Governance Gap
Mateo Torres's framework for constraining AI agents maps directly onto what the EU AI Act and FTC guidance are demanding. Enterprise deployments should pay attention.
Hacker News Digest: June 12, 2026
Hacker News Digest: June 12, 2026
From a $6K AI AWS bill to Meta's facial recognition playbook, Hacker News surfaced the tensions defining tech in June 2026. Here's what mattered.
How MCP and AI Agents Are Reshaping Software Design
How MCP and AI Agents Are Reshaping Software Design
IBM's Will Scott explains how design systems, context engineering, and MCP are combining to let AI agents build software that actually follows the rules.
Anthropic Launches Claude Fable 5 at Tokyo Keynote
Anthropic Launches Claude Fable 5 at Tokyo Keynote
Anthropic unveiled Claude Fable 5 and Mythos 5 at its Tokyo keynote, with new managed agents, dynamic workflows, and a novel approach to AI safety guardrails.
Cloudflare's Dynamic Workers Rehabilitate eval()
Cloudflare's Dynamic Workers Rehabilitate eval()
Cloudflare's Sunil Pai and Matt Carrie explain how Durable Objects and Dynamic Workers form a new compute foundation for AI agents—and why eval() deserves a second look.
AI Agents Now Build and Fix Their Own Web Scrapers
AI Agents Now Build and Fix Their Own Web Scrapers
AI agents can now build, run, and repair web scrapers without human input. Here's what that pipeline looks like—and what it means for everyone online.
35 Open-Source GitHub Projects Trending Right Now
35 Open-Source GitHub Projects Trending Right Now
This week's GitHub trending list reveals a clear developer preoccupation: making AI agents safer, smarter, and cheaper to run without surrendering your data.
Why Senior Engineers Struggle Most With AI Agents
Why Senior Engineers Struggle Most With AI Agents
Philipp Schmid breaks down 5 mental model shifts that trip up experienced engineers when building AI agents — and why expertise can be the actual problem.