AI Agent Platforms provide environments for building and managing autonomous agents that automate complex workflows. These tools connect large language models to external applications and data sources to execute long running tasks or manage codebases. This type of software is for developers and operators who need to orchestrate agentic pipelines and RAG systems. Self-hosting these apps ensures that proprietary code and internal documents remain on private infrastructure. This approach allows you to customize memory layers and tool integrations without relying on external service providers.
This page lists 37 open source tools in the AI Agent Platforms category. The most popular are n8n, Dify and Open WebUI. Most use the Apache-2.0 or Custom license, and 33 offer an official Docker image.
Automate workflows by connecting hundreds of applications through a visual interface with support for custom code.
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 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.
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 web based Linux server control panel for managing websites, databases, containers, and AI agent runtimes.
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.
A low code platform for building internal business applications, automating workflows, and deploying AI agents.
Automate content creation and distribution across multiple social media platforms using AI agents for monetization.
Automate browser workflows using large language models and computer vision to interact with websites via natural language.
An open source platform for building enterprise agents using RAG pipelines, workflow automation, and multi model support.
An observability and evaluation platform for monitoring, testing, and optimizing generative AI and agentic systems.
An AI agent platform that manages a workforce of agents as a versioned git repository.
A conversational AI server that manages agent behavior through context aware guidelines for consistent and auditable responses.
Manage AI agents and automated workflows using custom LLM keys and local file access.
Build searchable knowledge bases from diverse data sources with custom LLM integration and automated AI agents.
Build and deploy AI agents and chatbots using large language models with a focus on integrations.
A multi-model AI agent desktop client that connects various AI providers and extends capabilities via MCP.
A local-first AI agent runtime that integrates workplace tools to build a durable working memory.
Connects AI agents to over 600 tools via a unified MCP server or function calling SDK.
Generates 3D meshes from 2D images using local AI models running on the system GPU.
Monitors AI agents in production by clustering failures into issues and generating evaluations from real traces.
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