A clone of Claude Code using Replicate and Ollama models
Ollama models support
Fetches Ollama models and configures them into OpenCode
Run Melaya AI pipelines locally with your own LM Studio or Ollama models
Personal experimental cli LLM utilities running on local Ollama models.
AI-powered Next.js project generator and editor powered by local Ollama models
Connect Sisu to local Ollama models with native tool support and streaming.
Auto-discover and register Ollama models in pi. No more manual models.json editing.
CLI bridge that relays inference between OneKey backend and local Ollama models.
Paperclip external adapter for local Ollama models
MCP control plane for local cognitive labor — job-shaped tools with tiered Ollama models (instant/workhorse/deep/embed), server-enforced guardrails, and measured economics so Claude can delegate bulk work without losing control.
AI-powered git commit message generator using local ollama models
AI-powered code auditing via MCP using local Ollama models for security, performance, and quality analysis
OpenClaw plugin: smart routing between local Ollama models and AIPing cloud (Kimi-K2.5). ~90% requests stay local.
Minimal CLI tool to benchmark Ollama models — phase analysis, TTFT, reasoning/thinking measurement, and side-by-side ranking.
Install agent skills, tools, local Ollama models, Codex pets, and Agent Mag docs context. npx agentmag add skill|tool|model|codexpet|docs <name>
A powerful, embeddable AI chat interface component for React that works with local Ollama models
MCP server that queries multiple Ollama models
CLI and web UI for managing local Ollama models with hardware-aware recommendations and optimization guidance
n8n node to interact with local Ollama models
Ollama integration for LangChain.js
A lightweight React UI for interacting with locally hosted Ollama models
Use Ollama with the Vercel AI SDK, implementing the official Ollama API. This provider has minimal dependencies and is web-compatible out of the box.
This repository provides a simple CLI tool to serve Ollama models as a Web API.
A CLI tool that generates concise and descriptive git commit messages using LLMs
Operator CLI + MCP server: canonical corpus second: semantic index second to aicx
Security watchdog for Claude Code — monitors sessions in real-time and kills compromised ones
ollama models information fetcher.
A Ruby gem for interacting with Ollama's API that allows you to run open source AI LLMs (Large Language Models) locally.
The app provides a command-line interface (CLI) to an Ollama AI model, allowing users to engage in text-based conversations and generate human-like responses. Users can import data from local files or web pages, which are then processed through three different modes: fully importing the content into the conversation context, summarizing the information for concise reference, or storing it in an embedding vector database for later retrieval based on the conversation.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
Ollama DSL provides an easy-to-use Ruby interface to communicate with Ollama local or remote language models. It supports building prompts with system/user roles, handling streaming responses, and chaining prompts seamlessly.
SmolLama is a lightweight Ruby client for interacting with the Ollama API. It provides a simple interface for chat completions, streaming responses, and model management.
LLM Conductor provides a clean, unified interface for working with multiple Language Model providers including OpenAI GPT, Anthropic Claude, Google Gemini, Groq, OpenRouter, and Ollama. Features include prompt templating, token counting, and extensible client architecture.
Interact with PostgreSQL, MySQL, and Oracle databases using natural language. Powered by RubyLLM with a locally-running Ollama model.
A production-ready AI agent platform: multi-provider (Ollama, OpenAI, Anthropic), typed tool system with permissions, three-tier memory, structured observability, loop detection, plugin architecture, interactive REPL, and project indexing. Works out of the box with local Ollama models; drop in OpenAI or Anthropic keys to upgrade.
Prescient provides a unified interface for AI providers including local Ollama, Anthropic Claude, OpenAI GPT, and HuggingFace models. Built for AI applications with error handling, health monitoring, and provider switching.
A failure-aware, contract-driven Ruby client for the Ollama API. Provides deterministic /generate with strict JSON schema validation, automatic model pulling, exponential backoff on timeouts, and observer-style streaming hooks. Designed for Rails background jobs and agent planners — not a chatbot UI.
An advanced AI-powered git commit message generator. It leverages multiple AI providers including OpenAI, Anthropic, Google, and local models via Ollama to create meaningful and contextual commit messages. This gem streamlines the commit process, ensuring consistent and informative version control practices across projects.
Mountable Rails::Engine: plain-language chat → Ollama (JSON intent) → your HTTP JSON API. Ships a small web UI (GET/POST /chat) and a machine endpoint (POST /api/v1/chat). Configure api_knowledge, Ollama URL/model, and API executor credentials in the host app.
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