HEARTS: Benchmarking LLM Reasoning on Health Time Series
Live Deep Research Bench. A challenging, objective benchmark for deep research tasks.
Agentic AI refers to AI systems capable of autonomous decision-making, planning, and executing tasks based on goals—acting like intelligent agents. These systems combine LLMs with tools, memory, and feedback loops to complete complex workflows with minimal human input.
A benchmark for evaluating advanced reasoning in language models and multi-agent systems.
A symbolic reasoning framework using Cognitive Motifs to build diverse, interpretable, and belief-driven generative agents.
LangGraph is a powerful framework built on LangChain that enables the creation of stateful, multi-step, and agentic workflows using directed graphs. It simplifies complex LLM orchestration by allowing conditional branching, memory, and tool integrations in a visual and modular way.
🧠 A Streamlit app that evaluates and visualizes reasoning trajectories of AI agents — built with Python and inspired by agentic AI workflows, reasoning analysis, and LLM evaluation.
Reasoning Agents track — .NET implementation (local + Azure AI Foundry Agent Service)
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