A GPT-based autonomous multi-agent AI in Next.js that research & recommends Instagram Viral Posts reflecting your personality.
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Updated
Dec 19, 2024 - TypeScript
A GPT-based autonomous multi-agent AI in Next.js that research & recommends Instagram Viral Posts reflecting your personality.
fullstack chat agent with authentication, request credits and payments built in
Simple orchestration for AI Agents built around Vercel's streamText. Lightweight alternative to LangGraph for agent handoffs and state transitions.
Fully local web research and report writing assistant. This repo is a Typescript edition of the Ollama Deep Researcher.
Empty langgraph project template.
LangGraph.js CLI and in-memory server implementation
Magic Resume 是一个由 AI 驱动的智能简历优化器。它基于 Next.js 构建,旨在帮助用户根据目标岗位(JD)的要求,智能地分析、优化个人简历,并提供专业建议。
This is an example Gen AI app built with Langgraph.js, Next.js and Vercel's AI SDK
Okos is a Telegram AI Assistant built with TypeScript, LangGraph, and multiple AI model providers. It maintains conversation context and provides summaries of interactions.
A playground for LangChain.js, LangGraph, NewRelic GraphQL, Sentry, Slack, Model Context Protocol (MCP) and other LLM-related tools.
Langgraph Redis Checkpoint Saver for Node.js
A full-stack portfolio with a free-tier AI assistant powered by a RAG pipeline. Explore my projects and skills through natural language queries, with support for i18n, dark/light mode, and responsive design.
A library to accelerate REST agent app development on top of Express, enabling users to focus on Langgraph agent development.
A flexible, extensible AI agent backend built with NestJS—designed for running local, open-source LLMs (Llama, Gemma, Qwen, DeepSeek, etc.) via Docker Model Runner. Real-time streaming, Redis messaging, web search, and Postgres memory out of the box. No cloud APIs required!
LangGraph.js Server Agents
Aidocs is an AI-powered SaaS that leverages Retrieval-Augmented Generation (RAG) to simplify understanding any tech framework's documentation through an intuitive chat interface
Running the Multimodal AI Chat App with LM Studio using a locally loaded model
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