Artificial Intelligence tools provide interfaces and frameworks for deploying large language models and autonomous agents. These tools automate repetitive workflows and manage retrieval augmentedC augmentedLL augmented generation pipelines to process specific documents. This type of software is for developers and privacy conscious users who need to run models on their own hardware. These apps allow you to keep chat histories and proprietary codebasesC bases on your own servers. By hosting these tools locally, you avoid sending sensitiveL sensitive prompts to external providers and manage your own compute resources.
This page lists 104 open source tools in the Artificial Intelligence category. The most popular are OpenClaw, n8n and Ollama. Most use the MIT or Apache-2.0 license, and 75 offer an official Docker image.
A self-hosted personal AI assistant that integrates with multiple messaging apps to perform tasks and automate workflows.
Automate workflows by connecting hundreds of applications through a visual interface with support for custom code.
Run and manage open source large language models locally on macOS, Windows, and Linux desktops.
A visual development platform for building agentic workflows, RAG pipelines, and applications powered by large language models.
A self-hosted interface for interacting with local and cloud LLMs with built-in RAG and tool support.
A cross-platform desktop manager for coordinating AI coding assistants including Claude Code, Codex, and Hermes Agent.
A cross platform interface for interacting with multiple large language models via API or local deployment.
A self-hosted control center for running autonomous coding agents to plan and ship changes across codebases.
A collaborative platform to build, schedule, and operate AI agents that handle long running automated tasks.
A terminal based coding agent with multi provider LLM support and a TypeScript extension system.
A private AI application for chatting with documents and managing agents using local or cloud LLMs.
Provides a persistent memory layer for AI agents to remember user preferences and interactions across sessions.
A desktop AI client connecting multiple LLM providers with local storage and a built-in knowledge base.
An open-source AI engine for running LLMs, vision, voice, image, and video models on local hardware.
A distributed vector database for organizing and searching unstructured data through similarity search and metadata filtering.
A cloud native API and AI gateway for managing traffic, routing, and LLM orchestration.
Run large language models on local hardware or connect to cloud providers via a private desktop interface.
Manage coding agents as team members with task queues, skill libraries, and runtime monitoring for AI teams.
A self-hosted chat interface that unifies multiple AI providers and models into a single web application.
A unified workspace for delegating research, analysis, and reporting tasks to open-source AI agents with connected data.
A communication infrastructure for sending multi-channel notifications and connecting AI agents to users via a unified API.
A web based Linux server control panel for managing websites, databases, containers, and AI agent runtimes.
Manage research through AI summarization, multi-format content ingestion, and multi-speaker podcast generation with local data control.
A self-hostable AI assistant that connects to personal documents and the web to provide verifiable research citations.
A privacy-focused AI answering engine that combines web search with local or cloud based language models.
Visualize neural network, deep learning and machine learning models through a comprehensive graphical interface.
Track LLM calls, manage prompts, and run evaluations to debug and monitor large language model applications.
Connects to over 50 applications to provide intelligent search and AI assistance across company information.
Build AI agents and knowledge bases using visual workflow orchestration, data processing, and retrieval augmented generation.
Add persistent, searchable memory and user profiles to LLM applications with millisecond recall across sessions
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