AI Development Platforms provide environments for building and managing large language model applications, agentic workflows, and RAG pipelines. These tools automate complex tasks by connecting various applications through visual interfaces or command line systems. This type of software serves developers and engineers who need to coordinate autonomous coding agents and local models. Self-hosting these apps ensures that proprietary codebases and internal prompt libraries remain on private infrastructure. This approach removes reliance on external API providers for managing sensitive development workflows and model orchestration.
This page lists 58 open source tools in the AI Development Platforms category. The most popular are n8n, Ollama and Dify. Most use the MIT or Apache-2.0 license, and 48 offer an official Docker image.
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.
Route requests to over 1,600 language, vision, audio, and image models through a unified API interface.
A smart model router that connects AI agents to multiple providers through a single OpenAI-compatible endpoint.
Unify access to multiple AI providers through a single OpenAI compatible API with built in governance.
Connects AI agents to the Windows operating system for file navigation, application control, and UI interaction.
A multi-model AI agent desktop client that connects various AI providers and extends capabilities via MCP.
Log, monitor, and debug large language model applications with a unified gateway for AI model routing.
A pixel art desktop companion that visualizes the real time activity of AI coding agents.
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.
An LLMOps platform for prompt management, evaluation, and observability to help teams build reliable AI applications.
A desktop SQL workspace with notebooks and AI integration for PostgreSQL, MySQL, SQLite and other databases.
Orchestrate multiple AI agents and CLI tools in a unified workspace for parallel task execution.
A CLI and companion app for deploying and orchestrating a complete local LLM stack via Docker.
Collect and analyze trace data to monitor and evaluate the performance of AI agents and LLM applications.
Provides explainable, citation‑backed answers and workflow automation across enterprise data via self‑hosted AI layer.
A visual management panel for OpenClaw and Hermes Agent frameworks to coordinate multi-engine AI assistants.
Provides observability, distributed tracing, and prompt management for generative AI and large language model applications.
Manage multiple Google Gemini and Claude AI accounts with automated switching and real-time quota monitoring.
A gateway for routing application traffic to generative AI services with support for over sixteen LLM providers.
A self-hosted CRM for managing contacts and sales pipelines with native integration for AI agents and tools.
Route and manage requests across multiple LLM providers using a single API with built-in usage analytics.
Unify AI agent orchestration and workflow automation through a visual editor with integrated LLM tool selection.
A TypeScript framework for autonomous AI agents featuring cognitive memory, multi-agent orchestration, and runtime tool generation.
An AI browser platform for research and automation that runs locally to manage complex web tasks autonomously.
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