# 🤖 AI Agents Weekly: Agent Plugins Standard, Qwen3.8-Max, Meta Muse Code, Prime Agent, LFM2.5-2.6B, Qwen-CUA, Harness Evolution Papers, and More > Source: > Published: 2026-08-08 14:56:44+00:00 # 🤖 AI Agents Weekly: Agent Plugins Standard, Qwen3.8-Max, Meta Muse Code, Prime Agent, LFM2.5-2.6B, Qwen-CUA, Harness Evolution Papers, and More ### Agent Plugins Standard, Qwen3.8-Max, Meta Muse Code, Prime Agent, LFM2.5-2.6B, Qwen-CUA, Harness Evolution Papers, and More In today’s issue: Six labs ship Agent Plugins standard Alibaba launches Qwen3.8-Max at 2.4T Meta ships Muse Code terminal agent Prime Intellect open-sources Prime Agent Liquid AI ships on-device agent model OpenAI model solves 10 open problems OpenRouter launches Ori Harness Firecrawl open-sources anydoc parser Cursor open-sources MoE megakernel Mistral drops Shieldstral safety model Cloudflare defines agent dev lifecycle Qwen-CUA hits 86.2 on OSWorld HarnessCompass evolves agent harnesses Harness-R1 learns to patch runtimes AutoCompact learns when to compact Memory consolidation breaks authority And all the top AI dev news, papers, and tools. ## Top Stories ### Agent Plugins Standard Launches AWS, Cursor, GitHub, Microsoft, OpenAI, and Vercel jointly announced Agent Plugins, an open packaging standard for extending agents across clients. **One format, many clients:** A plugin is a folder with a`plugin.json` manifest that bundles Agent Skills and MCP server configs, loadable by any compatible client.**Launch support:** ChatGPT, Codex, GitHub Copilot, VS Code, Cursor, and Kiro all read the same package on day one.**Why it matters:** Until now every product used its own folder layout and install flow, forcing builders to repackage the same extension per platform.**Governance:** The spec is public with a technical steering committee spanning Amazon, Cursor, Microsoft, OpenAI, and Vercel, with proposals handled in the open. ### Alibaba Launches Qwen3.8-Max Alibaba released Qwen3.8-Max, its largest flagship model, aimed squarely at long-horizon coding and professional work. **Scale:** 2.4T total parameters with 95B active and a 1-million-token context window, built on the Qwen3.5 architecture.**Agentic benchmarks:** 86.6 on TerminalBench 2.1, 86.1 on OSWorld-Verified, 93.0 on PaperBench, and 74.8 on CoWorkBench.**Long-horizon evidence:** A roughly 16-day autonomous run on the oh-my-cli project produced 265 commits, 127 pull requests, and 151 issues, and the model beat 458 of 526 human teams in a multimodal dialogue challenge.**Availability:** Live on QwenCloud with OpenAI and Anthropic protocol support plus Claude Code, Codex, Qoder CLI, and OpenClaw integrations, with open weights promised alongside Qwen3.8-27B.