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PyPI agents
24,982 AI agents indexed on MeshKore from PyPI. Agent frameworks and tools published to the Python Package Index. Each entry links back to its project page.
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Source platform: PyPI →
PyPI agents — page 171 of 250
A lightweight library for quantized LLM fine-tuning and deployment
The QN Agent for Quant-Net Control Plane
量潮智能体标准Python工具箱
QAOA-powered memory management for AI agents — clustering, compaction, and recall
A collection of storage modules like for file management, metadata and more
LICENSED: A composable framework for quantum-inspired reasoning, entangled memory systems, and multi-agent cooperation
Index-Heavy, Query-Light RAG Engine — Put in docs, ask questions, it just works.
CLI for Quark-AI — cognitive fingerprinting for AI agents
Minimal Python framework for composing agents, tools, and multi-agent workflows
Quelvio for CrewAI — your company's brain as a CrewAI tool.
Quelvio for LangChain — your company's brain as a LangChain tool and retriever.
CrewAI tools for Quercle web search and URL fetching
Quercle web search and URL fetch tools for Pydantic AI agents
A Python library for benchmarking Weaviate's Query Agent!
A pip package to generate SQL/Mongo queries from natural language using an LLM API
A pipeline for question answering and retrieval-augmented generation (RAG)
Minimal, local-first agent runner using Markdown front matter.
Run Ollama models easily, anywhere – including online platforms like Google Colab
Tools for quickly building and deploying large language model applications.
fast startup ollama server
QuickAgents - AI Agent Enhancement Toolkit with Document Understanding, Self-Evolution and Unified UTF-8 Encoding
Adds AI answers and API orchestration to your bot
A barebones library to make interacting with OpenAI's ChatGPT API much simpler.
A library for quick fine-tuning and interaction with popular language models
A Quick Retrieval-Augmented Generation (RAG) system using transformers.
Overlay image package for quicksand
Python bindings for Quillmark - a schema-driven document engine
MCP server for Quillmark document rendering. Run with `[email protected]` (recommended).
Quilr Guardrails Integration for LiteLLM
Behavioral telemetry and policy enforcement for AI agents
A Python package for generating unique quizzes (upto 10,000) from text, URLs, or YouTube transcripts using OpenAI.
A Python package for preprocessing and augmenting data for large language models by quantum Neural networks.
A simple SDK for interacting with the Ollama API by automatically creating a conversation (chat history)
A lightweight, modular RAG system using ChromaDB
Qwen-Agent: Enhancing LLMs with Agent Workflows, RAG, Function Calling, and Code Interpreter.
Qwen + Claude Code Router bootstrapper
Unofficial Qwen API Client For Llamaindex
A powerful RAG system for querying code repositories using tree-sitter parsing, LanceDB vector storage, and Qwen models
A Python client for Qwen and DeepSeek models with AutoGen, supporting structured outputs and function calling.
A terminal-based agent for interacting with Qwen3-Coder models
QwenPaw LLMVTuber Channel - WebSocket频道,对接Open-LLM-VTuber前端
QwerGPT: A Lightweight LLM Framework
vLLM plugin for Qwerky AI MambaInLlama hybrid models
A simple LLM client factory utility for use across QX applications
generate random user-agent
ClawBench: Can AI Agents Complete Everyday Online Tasks? (alias of claw-bench)
Run 70B+ LLMs on a single 4GB GPU — no quantization required. Layer-streaming inference for consumer hardware.
A regular radicale storage with an additional sqlite index on specified fields.
DecSync storage plugin for Radicale
DEPRECATED: merged into etesync-dav
Basic scheduling for users on the same server
A time range indexed radicale storage
RadiologySwarm - TGSC
Radius AI Agent SDK is an open-source framework for connecting AI agents to the Radius network
Radius adapter for LangChain
Radius plugin for ERC20
Radius plugin for JSON-RPC
Radius plugin for Uniswap
Radius AI Agent SDK EVM wallet implementation
Radius AI Agent SDK Web3 wallet implementation
Synchronize users and data between radosgw clusters
A brief description of your package
RAG (Retrieval-Augmented Generation) pipeline implementation
Production-ready RAG + AI Agent platform with FastAPI, LangGraph, and OpenRouter
RAG Agent - MCP Server for LightRAG
Python SDK for RAG Agent API - A comprehensive client library for RAG Agent services
Installable RAG + MCP skills framework with a reliability-loop workflow.
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This repository includes rag_assistant
Production contract layer for RAG systems — typed, explicit, observable, composable.
RAG benchmarking tool
Reproducible RAG baselines and evaluations with LangChain
Framework-agnostic evaluation harness for RAG and agentic AI systems
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CLI tool to parse, chunk, and evaluate Markdown documents for RAG pipelines with token-accurate chunking support
RAG Citation is an project that combines Retrieval-Augmented Generation (RAG) with automatic citation generation. This tool is designed to enhance the credibility of AI-generated content by providing relevant citations for the information used in generating responses.
Classical Machine Learning methods for Reterival Augmented Generation
A project to show good CLI practices with a fully fledged RAG system.
CLI tool for RAG over local documents
rag-colls - Implement recent advanced RAG techniques
MMD-based semantic consistency scoring for RAG pipeline outputs
Middleware that prevents sensitive information leakage in RAG pipelines by analyzing the context assembly graph
Indexador de contexto enriquecido para optimización de RAG en LLMs con soporte Agentic Scaffolding, Auto-Sync, Trazabilidad, Persistencia tmux e Integración Claude Code
Tiny CI tool for RAG retrieval regression testing.
The rag-core-api contains the API layer for the RAG template for document retrieval, question answering, knowledge base management in the vector database and more.
The rag-core-lib contains the shared components of at least two of the rag libs.
Real-time debugging SDK for RAG pipelines
This package offers a lightweight and straightforward solution for implementing Retrieval-augmented generation (RAG) functionality with large language models (LLMs).
Agentic RAG pipeline failure diagnosis — no database, no LLM API, no cloud
RAG Document Viewer
A simple and secure RAG framework to rag any LLM model with ease.
A Retrieval-Augmented Generation (RAG) Engine for managing embeddings and similarity search
A RAG evaluation framework
Pluggable RAG evaluation framework
Production-grade RAG evaluation library with comprehensive metrics and reporting
A comprehensive evaluation toolkit for RAG and LLMs.
RAG Evaluator is a Python library for evaluating Retrieval-Augmented Generation (RAG) systems. It provides various metrics to evaluate the quality of generated text against reference text.