The development and application of large language models (LLM) have demonstrated that foundational models can be utilized to solve a wide array of tasks. However, their performance in multi-agent path finding (MAPF) tasks has been less than satisfactory, with only a few studies exploring this area. MAPF is a complex problem requiring both planning and multi-agent coordination. To improve the performance of LLM in MAPF tasks, we propose a novel framework, LLM-NAR, which leverages neural algorithm...

Recent advances in the intrinsic reasoning capabilities of large language models (LLMs) have given rise to LLM-based agent systems that exhibit near-human performance on a variety of automated tasks. However, although these systems share similarities in terms of their use of LLMs, different reasoning frameworks of the agent system steer and organize the reasoning process in different ways. In this survey, we propose a systematic taxonomy that decomposes agentic reasoning frameworks and analyze h...

Recent advancements in large language models (LLMs) have enabled powerful agent-based applications in finance, particularly for sentiment analysis, financial report comprehension, and stock forecasting. However, existing systems often lack inter-agent coordination, structured self-reflection, and access to high-quality, domain-specific post-training data such as data from trading activities including both market conditions and agent decisions. These data are crucial for agents to understand the ...

Salesforce launches CRMArena-Pro, a simulated enterprise AI testing platform, to address the 95% failure rate of AI pilots and improve agent reliability, performance, and security in real-world business deployments.

Memp takes inspiration from human cognition to give LLM agents "procedural memory" that can adapt to new tasks and environments.

Global enterprises Block and GlaxoSmithKline (GSK) are exploring AI agent proof of concepts in financial services and drug discovery.

An open-source SDK for agentic workflows based on MCPs. Integrated LLM cost management and one-click deploy to Cloudflare.

Production-ready platform for agentic workflow development.

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM