Ollama Python Packages

ollama

Ollama Python library

strands-agents

A model-driven approach to building AI agents in just a few lines of code.

strands-agents-tools

A set of tools that gives agents powerful capabilities.

agentops

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

npmai

🚀 npmai By Sonu Kumar (Viral Boy) npmai is a lightweight Python package designed to bridge the gap between users and open-source LLMs.Connect with Ollama and 10+ other powerful models instantly—no installation, no login, and no API keys required, and help in development of RAG Agents on cloud without signup and local installations in free of cost.

strands-agents-builder

An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.

pygpt-net

Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, speech synthesis and recognition, web search, memory, presets, assistants,and more. Linux, Windows, Mac

claude-code-llm-router

Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain keeps costs 70–85% lower.

shell-gpt

A command-line productivity tool powered by AI large language models like GPT-5, will help you accomplish your tasks faster and more efficiently.

nvhive

Rootless NVIDIA GPU AI lab: local LLMs, ComfyUI, agents, creative/game/music packs, and a self-healing setup wizard.

specsmith

Applied Epistemic Engineering toolkit · AEE agent sessions · execution profiles · FPGA/HDL governance · tool installer · 50+ CLI commands · Anthropic/OpenAI/Gemini/Ollama

cafitac-hermit-agent

Quiet MCP executor for Claude Code and Codex. Offload edits, tests, refactors, and commits to cheaper local or flat-rate models.

agentmake

AgentMake AI: a kit for developing agentic AI applications that support 24 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, azure_any, cohere, custom, deepseek, genai, github, github_any, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai

lilbee

Terminal-first local search and AI chat over your documents, code, and crawled websites. Semantic + hybrid search, vision OCR, auto-built wiki, browsable GGUF model catalog. Works as CLI, TUI, MCP server, REST API, or Python library. Offline by default, no sidecar services.

strands-agents-mcp-server

This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.

local-deep-research

Local Deep Research achieves ~95% on SimpleQA benchmark (tested with Qwen 3.6). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your private documents. Everything Local & Encrypted.

npcpy

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

cognithor

Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.

aipdf

A tool to OCR PDFs using gen-AI models

soup-cli

Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done.

zag-agent

Agents change weekly. Your workflows shouldn't. One CLI for Claude, Codex, Gemini, Copilot, and Ollama.

gauntlet-cli

Behavioral reliability under pressure. Test how LLMs behave when things get hard.

m3-memory

Local-first Agentic Memory Layer Framework for MCP Agents and Multiple Computers • Over 60 tools • Hybrid search (FTS5 + vector + MMR) • GDPR • 100% local

vektori

Memory that remembers the story not just the facts. Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config.