Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ⭐️

Structured data gathering from any website using AI-powered scraper, crawler, and browser automation. Scraping and crawling with natural language prompts. Equip your LLM agents with fresh data. AI Studio python SDK for intelligent web data gathering.

Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.

🚀Lightweight Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!

Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.

A simple Python sandbox for helpful LLM data agents

A Python project to create specialized LLM-based AI agents that analyze complex medical cases. The system integrates insights from various medical professionals to provide comprehensive assessments and personalized treatment recommendations, showcasing the potential of AI in multidisciplinary medicine.

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by implementing state-of-the-art NL2SQL / Text2SQL methods.

Stateful runtime management for LLM agents—inject, manipulate, and retrieve Python objects across turns.

Intelligent Python system that extracts real estate property data as structured JSON using AI agents, Nebius Qwen LLM, and Bright Data MCP.

All-in-one Python framework for building production-ready LLM agents and workflows. Developed by Miquido.

A powerful Python framework for orchestrating AI agents and managing complex LLM-driven tasks with ease.

Python program to make LLM agents play characters and talk to each other.

Arkalos is an easy-to-use Python framework for data analysis, building data apps, warehouses, AI agents, and training LLMs with elegant syntax. It just works.

My version of the Stanford experiment "Generative Agents: Interactive Simulacra of Human Behavior" in Python using a local LLM.

A toolkit for developing AI agents, including agent-debugger: Terminal debugger for LangGraph & LangChain agents. Debug LLM agents with state inspection, tool calls, semantic breakpoints, and Python program stepping in one Textual UI.

LLM router + minimal agent framework in one. Call any LLM API with OpenAI format. Unified billing, tools, retries, fallback, logging. Build agents and AI apps in pure Python. Full control. Zero magic.

The Generative AI Toolkit is a lightweight library for building, testing and evaluating AI agents in Python, using any of the LLMs supported by the Amazon Bedrock Converse API.

A skill that teaches LLM agents how to use rope for python codebase refactors

A Python framework for building proactive LLM agents that simulate human-like cognitive processes. Enables agents to continuously generate and evaluate thoughts in parallel with conversations, and autonomously determining when and how to engage.

Universal Contract AI Interface (UCAI) 🔗 ABI to MCP | The open standard for connecting AI agents to blockchain. MCP server generator for smart contracts. Claude + Uniswap, Aave, ERC20, NFTs, DeFi. Python CLI, Web3 integration, transaction simulation. Polygon, Arbitrum, Base, Ethereum EVM chains. Claude, GPT, LLM tooling, Solidity, OpenAI.

PRIMS is a lightweight, open-source Model Context Protocol (MCP) server that lets LLM agents safely execute arbitrary Python code in a secure, throw-away sandbox.

AI-powered autonomous trading agents for Polymarket prediction markets. This framework enables developers to build sophisticated trading bots using state-of-the-art LLMs, RAG (Retrieval-Augmented Generation), and superforecasting methodologies. Built with Python 3.12+, LangChain, FastAPI, and modern development tooling.

Flexible Python package for managing and extending LLM based agents

A Python micro framework for creating LLM-driven agents

SimpleAgents lets anyone vibe-code LLM agents and ship them production-ready. It’s Rust-first with Python/Node/Go bindings, multi-provider support, YAML workflows, validation, tracing/replay, resilience, structured outputs, and eval-ready tooling built in.

litemind is a Python library designed to empower developers to build sophisticated conversational agents and tools. It provides a flexible and elegant API for interacting with Large Language Models (LLMs) from various providers, along with a powerful agentic AI framework that supports multimodal inputs and outputs.