Agents
2,269Autonomous AI agents that perform tasks independently
Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data
A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement, ASE 2024 (Distinguished Paper Award)
DialOp: Decision-oriented dialogue environments for collaborative language agents
An Execution Isolation Architecture for LLM-Based Agentic Systems
A unified agent orchestration hub that lets you configure and manage multiple AI agents (native, ACP, AGUI, Claude Code) via YAML, and exposes them through standardized protocols (ACP/OpenCode Server).
AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models
[CVPR 2025 🔥]A Large Multimodal Model for Pixel-Level Visual Grounding in Videos
An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.
Promptdesk is a tool designed for effectively creating, organizing, and evaluating prompts and large language models (LLMs).
[ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
AlgoTune is a NeurIPS 2025 benchmark made up of 154 math, physics, and computer science problems. The goal is write code that solves each problem, and is faster than existing implementations.
A simple yet versatile context engineered for scalable online data collection
[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents).
RepairAgent is an autonomous LLM-based agent for software repair.
A Data analysis agent powered by llm for querying database and visualizing results
Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.
Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
大型語言模型(LLM)的讀書會內容code部分整理,此github提供簡單、免費、易實作code範例,並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等