agents

Novu Connect enables users to ship agents where their users already work.

Replaysafe is an open-source npm library that ensures idempotent retries by fingerprinting operations, preventing duplicate side effects in AI agent workflows. It integrates with popular frameworks like LangGraph and CrewAI.

OpenClaw now offers completely free hosting with one-click deploy and PAYG token pricing, making it easier for developers to build with agents without managing setup or ops.

An opinion piece questioning whether we rely too heavily on confident agent recommendations (human or AI) when underlying data is often messy and incomplete, suggesting that agents should express uncertainty.

A curated list of the top 10 GitHub repos that have defined 2026 so far, including OpenClaw (personal AI assistant), Anthropic's skills ecosystem, agent frameworks from Nous Research, and projects by Andrej Karpathy.

This article argues that true AI-native companies are distinguished not by their AI tools but by their organizational systems where humans define quality, agents handle execution, and knowledge is structured for agent understanding.

EvoArena introduces a benchmark for evaluating LLM agents in dynamic environments with progressive updates across terminal, software, and social domains, while EvoMem proposes a patch-based memory paradigm that records structured evolution; experiments show current agents achieve only 39.6% accuracy on EvoArena, and EvoMem yields average gains of 1.5% on the benchmark and improvements on GAIA and LoCoMo.

In an interview at Microsoft Build 2026, Satya Nadella outlines an AI strategy focused on ecosystem over any single model, advocating for private evals as key IP, rebuilding the IDE for agentic workflows, and treating agent traces as balance sheet assets.

ActiveMem introduces a distributed active memory system that decouples agent memory from the core LLM reasoning process, achieving state-of-the-art accuracy on long-horizon tasks with significantly reduced overhead.

This paper introduces the concept of deployment-time memorization in foundation-model agents, analyzing how memory design choices (summarization aggressiveness, retrieval breadth, deletion mode) affect personalization utility, extraction risk, and deletion fidelity, proposing new metrics such as Personalization Recall, Adversarial Extraction Rate, and Forgetting Residue Score.

The article discusses how the AI engineering loop can be fully automated but argues that handing over the entire loop produces 'agent slop' due to imperfect evals. It recommends automating certain steps while keeping human judgment for nuance.

LangChain experiments with 'interpreter skills': an extension to agent skills that allows including a TypeScript module, enabling agents to execute code directly in an interpreter for more efficient, accurate, and predictable complex task execution.

Claw Patrol is a security firewall for AI agents, sitting between agents and production to parse traffic and gate actions using HCL rules, blocking destructive SQL or requiring human approval for risky commands like kubectl delete pod.

Extend UI is an open-source library of 14 UI components for document agents, including viewers for PDF, DOCX, XLSX, with features like bounding box citations, file upload, and e-signature. It is MIT licensed and available on the shadcn component registry.

This article points out that many ChatGPT Plus users have only leveraged less than 20% of Codex's capability, and introduces advanced features such as Fork, AGENTS.md, Plan Mode, Plugin, scheduled tasks, and mobile remote control, which can boost work efficiency by 10 times.

Boris Cherny announced nested subagent support in Claude Code, allowing agents to spawn subagents for better context management, capped at depth 5 and rolling out in today's release.

An agent chained two Hugging Face Spaces—one for image generation and one for 3D reconstruction—to produce a cinematic 3D Paris gallery, illustrating the building-block economy where agents glue together proven components rather than building from scratch.

Hush is an open-source tool for noise suppression designed for voice AI agents, improving audio clarity in real-time interactions.

This article explores the view that in the Agent era, Loop Engineering is more important than Prompt Engineering. The author believes that the core capability of an AI Agent lies not in the model itself, but in the feedback loop system built around the model, which determines whether the Agent can continuously improve and approach the correct answer.

A new survey paper from top US and Chinese labs proposes that AGI requires agents that actively explore uncertainty via epistemic exploration, organized into five levels of AI progress.