Source
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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PyPI agents — page 154 of 250
Run text LLM prompts over a list of texts
Comprehensive benchmark suite for Ollama models: LLM, embedding, and reranking evaluation
A simple Python wrapper for Ollama API
An Ollama chat web application
Text classification with constrained output and confidence scoring across multiple LLM backends
Simple command line tool that reads a text from stdin and pipes it to Ollama. One can set all Ollama options on commandline as well as define termination criteria in terms of maximum number of lines, paragraphs, or repeated lines.
This package contains implementation of a board game on command-line interface with Ollama AI integrated into it.
Lightweight CLI client for a remote Ollama server
Object-oriented library for interacting with Ollama Cloud
Ein autonomer KI-Entwicklungsassistent mit lokalem Ollama-Backend.
A CLI tool for agentic coding tasks using local LLMs with tool calling
Agentic coding assistant for Ollama - Claude Code alternative
Generate Git commit messages using local LLMs via Ollama
Tools for working with Ollama model data
A lightweight, feature-rich proxy for Ollama, designed for development, testing, and staging environments. It simplifies access to remote Ollama instances that are wrapped behind another proxy layer like OpenWebUI. Anthropic and OpenAI compatible endpoints, included.
A library and Hugging Face model downloader for Ollama.
Simple and quick RAG (Retrieval Augmented Generation) using ollama API.
FastAPI wrapper for running Ollama locally
A Python library for the Ollama API.
Create, retrain, ablate, and convert models for local Ollama
Generate AI-powered git commit messages using local Ollama
A very simple ollama GUI, implemented using the built-in Python Tkinter library, with no additional dependencies.
Self-improving agentic research swarm with local LLM inference
A fork of the official Python client for Ollama for Home Assistant.
An integration between the Ollama LLM framework and Haystack
Smart multimodal router — LLM inference, image generation, speech-to-text, and embeddings across your device fleet. Cross-platform: macOS, Linux, Windows.
Proxy server for managing multiple Ollama models for AutoGen Agents
Ollama Inspect — minimal GGUF inspector web server
Install Ollama from a Python CLI.
Validate structured outputs from LLMs with Ollama and automatic retries.
Local control plane for the IPEX-backed Ollama runtime.
Ask questions about your documents using local LLMs — no cloud, no API keys
Local LLM infrastructure with monitoring dashboard for distributed AI applications
Manage Ollama models from your commandline!
Bridge API service connecting Ollama with Model Context Protocol (MCP) servers
Adapter to expose MCPO, the MCP-to-OpenAPI proxy server, tools in Ollama-compatible format
Python client for the ollama-models API — search and list Ollama model weights
OCR package using Ollama vision language models.
A proxy service that translates Ollama API requests to OpenAI-compatible backends
CLI tools to export and import Ollama models (.tar.gz)
CLI + TUI tool for benchmarking Ollama models side-by-side
Ollama CLI prompt tool for local LLM code analysis
ollama proxy to other cloud model service
A RAG (Retrieval-Augmented Generation) system using Llama Index and ChromaDB
A tool to digest PDF files for Large Language Models and serving them via a REST API, including their source references.
Expose OLLAMA models to the internet on a remote server via tunneling
Remote CLI client for Ollama servers - Network-ready chat interface with history tracking and inference control
A feature-rich Ollama client with enhanced terminal UI using the Rich library.
Functions to conveniently run asynchronous Ollama workflows, including RAG support.
Scan your hardware and find compatible Ollama LLMs
A Python package that ensures the Ollama server is running and ready with the models your project expects.
Provide interaction service to LLM with Ollama.
Terminal toolkit for local Ollama model recommendation, benchmarking, and comparison.
A package to manage Ollama service and models.
A light wrapper around ollama-python that introduces caching, syntax sugar and increased `think` compatibility
A tkinter GUI for interacting with any Ollama API.
CLI tool for Ollama - backup, restore, update, and list models
A complementary library to ollama-python to register your tools
A comprehensive Python client library for the Ollama API
A workaround for models on Ollama that does not support tool calling
Python utilities for integrating Ollama with Streamlit and building LLM applications
Local macOS menubar voice assistant powered by MLX Whisper, Ollama, and Kokoro TTS
MCP Service for Ollama Web Search
A Python library for running Ollama agents with automated server management
A benchmark tool for consumer hardware for AI inference using llm models, with version and quantization detection.
Local AI Image Generation with Ollama-style CLI for Stable Diffusion, FLUX, and LoRA support
A lightweight client for interacting with LLMs served via Ollama
A thin wrapper around `ollama` library
ollamaocr with Llama vision
A simple Python package for Ollama utilities with built-in AI vibe tests
Matrix chatbot powered by Ollama
A Python package for integrating Ollama with web search and RAG.
Ollamate is a simple AI assistant for local LLMs hosted on your machine using Ollama. it will support some custom functions and a RAG system.
OllamaWebUI-A Simple Flask WebUI, You Can Chat With Ollama On Web|Flask聊天界面，可以自定义设置Ollama Api（python学霸公众号）
A package to manage Ollama service and models.
Bundle Ollama models into single portable archives for transfer between machines.
LLM Inference for Large-Context Offline Workloads
CLI for MCP Client for Ollama - An easy-to-use command for interacting with Ollama through MCP
Core package for OmAgent
OmegaAgents is a scalable ReAct-based multi-agent framework designed for rapid solution development. It enables LLMs and agents to dynamically create and coordinate sub-agents during inference, mimicking human-like task distribution and collaboration. With built-in tools, parallel processing, and ephemeral memory management, it streamlines complex problem-solving through autonomous agent orchestration and structured output validation.
Simplify and enhance your command-line experience with the power of AI
Run 70B+ LLMs on consumer GPUs with layer-wise inference
Omni Coverage Reporter. Strives to be as universal as possible in receiving, converting and sending reports from many types to different online APIs
General-purpose RAG MCP plugin — index anything, search with hybrid BM25+semantic, zero-config
A unified Python interface for file storage.
The Payment Infrastructure Layer for Autonomous AI Agents
A flexible framework for building multi-agent systems with customizable protocols
Claude Code hooks + learning loop integration
Claude OAuth-based OmniComp provider
Claude-RE omnicomp provider
Claude-agent-sdk omnicomp provider
Gemini OAuth-based omnicomp provider
Gemini-RE omnicomp provider
Ollama omnicomp provider
OpenAI omnicomp provider
OmniCoreAgent is an open Python agent harness for building autonomous AI agents that use tools, manage memory and context, coordinate workflows, and handle production business logic.
RAG pipeline for omnidoc-sdk — intent-aware chunking, evaluation, streaming, graph linking, and vector DB integrations
A unified LLM API utility package.