Browsing: Agent

def executor_agent(step: Dict[str, Any], context: Dict[str, Any]) -> StepResult: step_id = int(step.get(“id”, 0)) title = step.get(“title”, f”Step {step_id}”) tool = step.get(“tool”, “llm”) ctx_compact = { “goal”:…

AI agents like OpenClaw have recently exploded in popularity precisely because they can take the reins of your digital life. Whether you want a personalized morning…

In the current AI landscape, we’ve become accustomed to the ‘ephemeral agent’—a brilliant but forgetful assistant that restarts its cognitive clock with every new chat session.…

Bryan Johnson, fresh off a 40- and 70-hour social media fast, says he’s ready to put an AI buffer between him and his social feed.In a…

For the past year, AI devs have relied on the ReAct (Reasoning + Acting) pattern—a simple loop where an LLM thinks, picks a tool, and executes.…

The balance of power in the digital age is shifting. While governments and large corporations have long used data to track individuals, a new open-source project…

In this tutorial, we build a “Swiss Army Knife” research agent that goes far beyond simple chat interactions and actively solves multi-step research problems end-to-end. We…

The term “AI agent” is one of the most popular right now. They emerged after the LLM hype, when people realized that the latest LLM capabilities…

In this tutorial, we build a fully stateful personal tutor agent that moves beyond short-lived chat interactions and learns continuously over time. We design the system…

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful…