22 packages found
Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs
Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure
A modular research pipeline that turns trending Reddit discussions into structured market events and options trade ideas
MCP server for Google Gemini — free image generation, editing & chat via browser cookies. No API keys needed.
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription.
Give AI coding agents (Claude Code, Cursor, Aider, Codex) a structured autonomous loop with guardrails — boundaries, 5 v
An open-source, graph-based workflow engine for Gemini/OpenCode/Claude Code/Qwen CLI. Automate ML experiments and scient
Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.
AI-powered weather intelligence for agricultural commodity futures. Predicts price moves 48-72 hours early across OJ, Co
Parameterized multi-agent orchestration framework for Claude Code and Gemini
Self-hostable GPU-aware job broker for your own machines, with native MCP/agent integration
An MCP server that empowers AI assistants (Cursor, Claude, Cherry Studio) to search, read, and summarize arXiv papers di
大型語言模型(LLM)的讀書會內容code部分整理,此github提供簡單、免費、易實作code範例,並由淺入深帶你一步步了解如何基於python建置LLM流程、部屬功能等
Comprehensive Claude Code toolkit with FastAPI skills, Brazilian financial integrations, workflow automation, and 46 spe
MCP server for external memory layer for AI agents + more . Download from pypi , and get started
Open-source Python library for 73 API connectors — Gmail, Slack, GitHub, Stripe, OpenAI, Anthropic & more. MCP server, O
Production-grade persistent memory service for AI agents — FastAPI + pgvector + local ONNX embeddings
Fast Python web crawler for RAG and AI ingestion. Extracts clean Markdown from any site for LLMs and vector stores.
Connection-first PhD advisor matcher — find the right advisor by network strength, not h-index. Quantitative 4.0 scoring