🤖 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.jsonmanifest 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.