25 packages found
An open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application develop
Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and ag
Agent Skills lifecycle toolkit: mine repeated coding-agent workflows, audit and personalize skills, and generalize perso
Empowering Multi-Agents, Crafting a Collaborative Future
Tree-of-Debate converts scientific papers into LLM personas that debate their respective novelties. To emphasize structu
SkillOrchestra: Learning to Route Agents via Skill Transfer
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph
DialOp: Decision-oriented dialogue environments for collaborative language agents
Official Implementation for the Paper [AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent](https://ar
Open-source multi-agent platform that structures software engineering as a coordinated team of specialized AI agents. It
HealthFlow: Automating electronic health record analysis via a strategically self-evolving multi-agent framework
A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.
TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle
PocketFlow from 0 to 1 ｜ 100 行代码构建所有 LLM 应用 ｜ 首个 PocketFlow 交互式教程 ｜ 光速掌握智能体开发实战
proof of concept to generate Airbyte low-code YAML connectors from API documentation
[WWW-2025] ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collabo
A declarative meta-language for orchestrating multi-agent workflows. Readable by humans. Executable by LLMs. Portable ac
Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data
Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.
One-Stop Personal Health AI Agent "Say Hi to Healthy Me"
[WWW '25 Oral - GenMentor] Official code of our paper "LLM-powered Multi-agent Framework for Goal-oriented Learning in I
一个生产级的深度研究 Agent 系统，从零构建多智能体编排、Red-Blue 对抗降噪、 语义级上下文压缩、跨 Agent 共享记忆四大核心能力，配套 165 次独立实验 + Bootstrap 统计显著性检验的完整评测体系。
Lightweight and Flexible Library for Creating Agents and Multi-Agent Conversations 🤖