This article is the clearest Chinese piece I've seen recently on Agent memory. Disclosure: That EverOS mentioned in the article is made by us @EverMind
. Adding three points: 1. That 93.05% LoCoMo accuracy isn't some paper hype number—it's from a script you can run straight from
AGENTS
-

Technical insights on AI agent memory and LoCoMo accuracy
By
–
-
Leveraging Multi-Agent Architectures and AI Models for Business Growth
By
–
🚨 Agent Swarms Help Create Billion Dollar Companies
— Abacus.AI (@abacusai) 13 mai 2026
Use SOTA AI models including
– Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro
– SeeDance 20
to create multi-agent architectures with swarms of agents
Thousands of people are using these multi-agent systems to run… pic.twitter.com/HvMmDnAS14Agent Swarms Help Create Billion Dollar Companies Use SOTA AI models including – Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro – SeeDance 20 to create multi-agent architectures with swarms of agents Thousands of people are using these multi-agent systems to run -
AI Agent Monitors Ad Spend Across Channels
By
–
Mindra isn't a chatbot. It's an AI agent team. • Monitors ad spend across channels 24/7 • Pauses underperformers, scales winners — automatically • Routes leads, classifies support tickets, triggers workflows • Takes real actions in Google Ads, Slack & more Built for
-
Android’s AI agent upgrade with Gemini Intelligence
By
–
Android is becoming an AI agent!@Google just unveiled “Gemini Intelligence” – a major upgrade that turns Gemini from a chatbot into an assistant that can actually do things across your phone.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 13 mai 2026
New features include:
• AI that navigates apps for you
• Automated form filling… pic.twitter.com/4Spg3WPxXdAndroid is becoming an AI agent! @Google just unveiled “Gemini Intelligence” – a major upgrade that turns Gemini from a chatbot into an assistant that can actually do things across your phone. New features include:
• AI that navigates apps for you
• Automated form filling -
AI Autonomy Levels: Presets, Refined Inputs, and Evaluated Outputs
By
–
increasing levels of autonomy: /skill: preset prompts /plan: human-refined inputs /goal: AI-evaluated outputs
-

Embedded Language Flows: New AI Agent Research
By
–
ELF: Embedded Language Flows Hu et al.: https://
arxiv.org/abs/2605.10938 #ArtificialIntelligence #AIAgents -
Quebec.AI Framework for AI-First Enterprise Transformation
By
–
http://
QUEBEC.AI transforms successful enterprises into AI‑First intelligence organizations. Agents discover.
Validators prove.
Memory preserves.
Governance controls.
The enterprise compounds. #QuebecAI #SovereignAI -

Key Personalization for Research Agents
By
–
Pay attention to this if you build research or knowledge-work agents. Most research-agent systems generate uniform outputs regardless of who is using them. This new work, NanoResearch, argues that personalization is a prerequisite for true usability and proposes a three-level approach.
-
Workshop on Reliable Financial Agents at AICouncilConf
By
–
We're live from @AICouncilConf A huge thank you to everyone who joined Charles Dickens’ workshop this morning: Towards Reliable Financial Agents: How a 4B Model Outsmarted a 235B Giant. You can find our team in the exhibitor hall throughout the rest of the conference.
-

Expanding the Role of AI Agents Beyond Code Generation
By
–
codex can write code, yes but the more interesting part is how much of the work around code it can now do: review PRs, add evals, turn Figma into UI, QA app flows, triage bugs, clean data, update docs, pull tasks from Slack/iMessage, and understand large codebases the use