🔗 Magentic-One by Microsoft:

Update to the Autogen framework, discussing a generalist multi-agent system for solving open-ended web and file-based tasks across a variety of domains.

🤖 Agent-Oriented Planning in a Multi-Agent System:

Introduces a framework utilizing Meta-agent architecture for clever planning in multi-agent systems.

📚 KGLA by Amazon:

Amazon's Knowledge Graph-Enhanced Agent framework for better knowledge retrieval across various domains.

💬 Harvard University's FINCON:

Researchers propose an LLM-based multi-agent framework with conversational verbal reinforcement for diverse financial tasks.

🖥️ OmniParser for Pure Vision-Based GUI Agent:

A multi-agent approach for UI navigation for GUI-based AI agents.

🧩 Can Graph Learning Improve Planning in LLM-Based Agents? By Microsoft:

Experiment showing how graph learning improves planning in AI agents using GPT-4 as their core LLM.

👥 Generative Agent Simulations of 1,000 People by Stanford and Google DeepMind:

Experiment demonstrating AI agents cloning 1,000 people using just 2 hours of audio.

🐞 An Empirical Study on LLM-Based Agents for Automated Bug Fixing:

ByteDance explores which LLMs are best suited for automated bug fixing.

💬 Google DeepMind's Sparse Communication for Multi-Agent Debate:

Experiment improving agent communication with limited information sharing.

📊 LLM-Based Multi-Agents: A Survey:

Comprehensive review of the progress and challenges in LLM-based multi-agent systems.

⚙️ Practices for Governing Agentic AI Systems by OpenAI:

OpenAI outlines seven tips for creating safe and accountable AI agents for businesses.

🖥️ The Dawn of GUI Agent: A Case Study for Sonnet 3.5:

Paper examining Anthropic's usability for GUI-based AI across various domains.

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