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win4r / hermes-agent
Forked from NousResearch/hermes-agentThe agent that grows with you
查询 A 股、美股、港股与场内基金行情,并通过 Node.js、浏览器、CLI 或 MCP 快速接入。
Magic to turn Cursor/Windsurf as 90% of Devin
基于缠中说禅所讲缠论理论,以便量化分析市场行情的工具
lisinan / czsc-Quant
Forked from waditu/czsc缠中说禅技术分析工具;缠论;股票;期货;Quant;量化交易
Quoll Writer - A writing application that lets you focus on your words.
A novel created autonomously by a team of 10 AI agents
LLM story writer with a focus on high-quality long output based on a user provided prompt.
AI writing assistant with voiced narrator and characters and an illustrator
Build and run agents you can see, understand and trust.
GraphRAG-Ollama-UI + GraphRAG4OpenWebUI 融合版(有gradio webui配置生成RAG索引,有fastapi提供RAG API服务)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Free, open source crypto trading bot
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Devika is the first open-source implementation of an Agentic Software Engineer. Initially started as an open-source alternative to Devin.
Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching,…
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
Easily deployable 🚀 API to convert PDF to markdown quickly with high accuracy.
Universal File Online Preview Project based on Spring-Boot
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
open-source agentic AI data assistant for the next generation of AI + Data products.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.