agents

AgentLLM is a PoC for browser-native autonomous agents

Quantalogic ReAct Agent - Coding Agent Framework - Gives a ⭐️ if you like the project

Fast-track AI innovation with a centralized, trusted, curated registry

Explore the unknown, build the future, own your data.

Super lightweight Ollama + Qwen Code alternative to run Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.

ACP is the Agent Control Plane - a distributed agent scheduler optimized for simplicity, clarity, and control. It is designed for outer-loop agents that run without supervision, and make asynchronous tool calls like requesting human feedback on key operations. Full MCP support.

Your First LLM-Wiki Conversation Knowledge Base

shadcn/ui, but for building agents. 🤖

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.

Multi-agent AI pipeline that turns one line of text into a finished short-form drama: script, cinematic storyboards, character-consistent video. Provider-agnostic (OpenAI/Claude, MJ, Minimax, Veo/Sora, fal, ComfyUI). MIT.

Station is our open-source runtime that lets teams deploy agents on their own infrastructure with full control.

A creative writing multi-agent solution to help users write articles.

AI agent tooling for data engineering workflows.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.

The missing bridge between your ML models and your AI agents.

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

Paper-Agent 是一个面向科研人员和学生的智能论文检索与调研工具。项目基于多智能体协作架构（LangGraph），通过自然语言处理（NLP）、自动化搜索，帮助用户高效查找学术论文、分析文献内容，并进行论文调研。Paper-Agent 支持多平台集成、关键词搜索、自动分析、论文调研，提升了学术研究的效率。适用于论文写作、学术调研、科研项目管理等多种场景，是学术调研的理想助手。

The Official Repo for "Quick Start Guide to Large Language Models"