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Create web-based user interfaces with Python. The nice way.
Add long-term memory to any AI in minutes. Self-hosted, open, and framework-free.
📖 MCP server for fetch deepwiki.com and get latest knowledge in Cursor and other Code Editors
Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
🔥 Visual workflow builder for AI agents powered by Firecrawl - drag-and-drop web scraping pipelines with real-time execution
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
12 Weeks, 24 Lessons, AI for All!
Context retrieval for AI agents across apps and databases
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile 🪁
Fully transparent SSH, HTTPS, MySQL and Postgres bastion/PAM that doesn't need additional client-side software
WebGoat is a deliberately insecure application
JSON Lines streaming serializer/deserializer on .NET and ASP.NET Core.
Lightweight coding agent that runs in your terminal
An open-source & self-hostable Heroku / Netlify / Vercel alternative.
Official inference framework for 1-bit LLMs
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
"RAG-Anything: All-in-One RAG Framework"
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
An Open-source Framework for Human Understanding, Meaning, and Progress.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
How to implement Stripe without going mad