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Multi-agent framework simulating trading firm roles with AI-driven analysts, traders, and risk managers https://t.co/x8Xr1f6268

Tom Dörr

x.com

In the Matter of OpenAI vs LangGraph

Alessio latent.space

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🚀🌐Introducing AgentRxiv: a framework where autonomous research agents can upload, retrieve, and build on each other’s research. AgentRxiv takes your research direction and progressively outputs research, building on its previous work with each new paper! 🧵

Samuel Schmidgall

x.com

Open Deep Research w/ Claude 3.7 Fully open source (code below) deep researcher w/ Claude 3.7 for research planning. Claude 3.7 makes a plan + accepts user feedback. Once approved, iterative research performed on the plan set by Claude.

Lance Martin x.com

I updated my AI hedge fund system diagram. We now have 5 investor agents and 8 LLMs. @LangChainAI powers our agent graph. Our AI agents: 1 • Ben Graham agent 2 • Bill Ackman agent 3 • Cathie Wood agent 4 •... See more

virat

x.com

Autonomous research workflow using LLMs https://t.co/xmFKxPINWY

Tom Dörr

x.com

My 8000-word note on agents: https://t.co/uELWfPtS9N Covering: 1. An overview of agents 2. How the capability of an AI-powered agent is determined by the set of tools it has access to and its capability for planning 3. How to select... See more

Chip Huyen x.com

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// Advances and Challenges in Foundation Agents // 260+ pages on this one! It provides a comprehensive overview, framing intelligent agents within a modular, brain-inspired architecture that integrates principles from cognitive science, neuroscience, and computational research.

elvis

x.com

AI agent for deep research reports and workflow automation https://t.co/mSYurYnSsX

Tom Dörr

x.com