AI Agents

In the present AI panorama, the ‘context window’ has turn into a blunt instrument. We’ve been instructed that if we merely broaden the reminiscence of a frontier mannequin, the retrieval downside disappears. But as any AI professionals constructing RAG (Retrieval-Augmented Generation) techniques is aware of, stuffing 1,000,000 tokens right into a immediate typically results in…

In this tutorial, we take a deep dive into nanobot, the ultra-lightweight private AI agent framework from HKUDS that packs full agent capabilities into roughly 4,000 traces of Python. Rather than merely putting in and working it out of the field, we crack open the hood and manually recreate every of its core subsystems, the…

The dream of recursive self-improvement in AI—where a system doesn’t just get better at a task, but gets better at learning—has long been the ‘holy grail’ of the field. While theoretical models like the Gödel Machine have existed for decades, they remained largely impractical in real-world settings. That changed with the Darwin Gödel Machine (DGM),…

In this tutorial, we build an advanced, hands-on tutorial around Google’s newly released colab-mcp, an open-source MCP (Model Context Protocol) server that lets any AI agent programmatically control Google Colab notebooks and runtimes. Across five self-contained snippets, we go from first principles to production-ready patterns. We start by constructing a minimal MCP tool registry from…

Autonomous LLM agents like OpenClaw are shifting the paradigm from passive assistants to proactive entities capable of executing complex, long-horizon tasks through high-privilege system access. However, a security analysis research report from Tsinghua University and Ant Group reveals that OpenClaw’s ‘kernel-plugin’ architecture—anchored by a pi-coding-agent serving as the Minimal Trusted Computing Base (TCB)—is vulnerable to…

Large language models (LLMs) are transitioning from conversational to autonomous agents capable of executing complex professional workflows. However, their deployment in enterprise environments remains limited by the lack of benchmarks that capture the specific challenges of professional settings: long-horizon planning, persistent state changes, and strict access protocols. To address this, researchers from ServiceNow Research, Mila…