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

Llama Agent Kit is an open-source Node.js toolkit for building memory-enabled AI agents powered by Ollama. It supports conversation threads, lightweight JSONL memory, and tool calls (e.g., weather, time, reservations), making it easy to integrate LLM agents into your own projects.

Local (with Ollama and Agent Development Kit) agent application for suggesting recipes based on user preferences and dietary restrictions

Example of using Google's Agent Development Kit (ADK) for Go with OpenAI-compatible APIs (LiteLLM, Ollama, LocalAI, etc.)

A Python-based integration of Google's Agent Development Kit (ADK) with a locally running LLM (Ollama). This project demonstrates a privacy-focused conversational agent with real-time response streaming and local-only operations.

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Python agent kit for LLMs with Ollama

A collection of sample agents built with Agent Development Kit (ADK) for Ollama Models

A Node.js starter kit for building local RAG (Retrieval-Augmented Generation) applications and AI agents with Ollama. Why it works: It's short, packed with keywords (Node.js, RAG, AI agents, Ollama), and clearly states its purpose as a "starter kit".

Este proyecto demuestra cómo integrar **Google ADK** (Agent Development Kit) con **Ollama** para crear aplicaciones conversacionales avanzadas que combinan lo mejor de ambos mundos.

Set of utilities for the Google Agent Development Kit (ADK) that facilitates the creation of IA Agents using local models with Ollama and Typescript. It also facilitates the management of streaming flows for them.

A local LangChain-based agent starter kit with a graph workflow for tool execution using Ollama. This project provides a foundation for building AI agents using LangChain and LangGraph, with a focus on tool execution and workflow management.

A production-ready AI agent built with Google Cloud Run and the Agent Development Kit (ADK). It features a microservices architecture with a GPU-accelerated backend running Gemma 3 (via Ollama) and a lightweight Python frontend for scalable user interaction.

AgentMake AI: a kit for developing agentic AI applications that support 14 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, cohere, custom, deepseek, genai, github, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai

This project showcases how to leverage Google's ADK (Agent Development Kit) and MCP (Model Context Protocol) to build an agent powered by Gemma 3, Google's latest large language model. It demonstrates how to: Connect to locally-hosted Gemma 3 via Ollama Implement YouTube search functionality using MCP.