Comparison

The question has been everywhere in DMs, group chats, and comment sections for weeks: did Anthropic just kill OpenClaw with Claude Code Channels? It’s a fair ask. Channels dropped recently. Anthropic also temporarily banned the OpenClaw harness from running on their subscriptions. Suddenly, the community started questioning everything. Dheeraj Sharma and the team at AI Maker decided to stop speculating and actually run both tools live. They scored them across eight categories with real deployments, not synthetic benchmarks. The verdict? No, Anthropic didn’t kill OpenClaw. But the gap is closing faster than most people expected — and the actual decision between these two tools is more nuanced than the tribal debates suggest. ...

The most important unsolved problem in production AI agents isn’t intelligence — it’s memory. An agent that can reason brilliantly but forgets everything between sessions is a frustrating tool, not a reliable assistant. Two systems are now competing to define what “never forgetting” means in practice: OpenClaw and Hermes Agent, taking architecturally distinct approaches. The New Stack’s comparative breakdown reveals that these aren’t just different products — they’re different bets on which dimension of persistent memory matters most. ...

The AI agent framework landscape looked very different eighteen months ago. In mid-2024, there were somewhere north of 14 actively-maintained frameworks competing for developer attention — AutoGen, MetaGPT, SuperAGI, AgentVerse, and a long tail of others all vying for the same mindshare. By early 2026, the field has consolidated dramatically. Three frameworks have emerged as the clear dominant players: LangGraph, CrewAI, and Pydantic AI. This isn’t a comprehensive benchmark — it’s a practical decision guide. Here’s how to choose. ...

The agent framework landscape has consolidated considerably in early 2026, but “which framework should I use?” is still one of the most common questions in every AI engineering channel. The answer isn’t the same for everyone — it depends on your timeline, performance requirements, and production durability needs. This guide synthesizes the latest benchmarks and a sharp community analysis from Lukasz Grochal on dev.to to give you a practical decision framework. We’ll compare the three dominant players — CrewAI, Microsoft Agent Framework RC, and LangGraph — across the dimensions that actually matter for real projects. ...