Overview

Deploy AI agent platforms, assistants, and workflow builders on Clore.ai GPU servers — from autonomous coding agents to visual AI workflow builders.

Overview

The AI landscape has exploded with powerful platforms that go beyond simple model inference. From autonomous agents that write code and solve problems, to visual workflow builders that let you create AI applications without coding, to full-featured chat interfaces that rival commercial offerings — all of these can be self-hosted on Clore.ai's GPU infrastructure.

This section covers three categories of AI platforms:

🤖 AI Agent Frameworks

Autonomous agents that can plan, execute tasks, write code, and interact with tools:

Platform	Stars	GPU Required	Description
AutoGPT	175K+	No (API-based)	The original autonomous AI agent platform
CrewAI	44K+	No (API-based)	Multi-agent orchestration with role-playing agents
MetaGPT	45K+	No (API-based)	Simulates a software company with specialized agent roles
SuperAGI	15K+	Optional	Dev-first autonomous agent framework with GUI
OpenHands	65K+	No (API-based)	AI-powered software development agent (formerly OpenDevin)
SWE-agent	15K+	No (API-based)	Automated GitHub issue fixing agent

🔧 AI Workflow Builders

Visual and low-code platforms for building AI applications and automations:

Platform	Stars	GPU Required	Description
Dify.ai	114K+	Optional	Production-ready AI workflow and agent platform
n8n	55K+	No	Fair-code workflow automation with native AI capabilities
Langflow	55K+	No	Visual drag-and-drop AI application builder
Flowise	35K+	No	Visual AI agent and chatbot builder
Haystack	18K+	Optional	AI orchestration framework for RAG and search

💬 Self-Hosted AI Assistants

Full-featured chat interfaces and AI assistant platforms:

Platform	Stars	GPU Required	Description
LobeChat	55K+	No (API-based)	Modern AI chat framework with multi-provider support
LibreChat	22K+	No (API-based)	Enhanced ChatGPT clone with multiple AI providers
AnythingLLM	40K+	No	All-in-one AI app with RAG and agent builder
Jan.ai	40K+	Yes	Offline-first AI assistant with local model support
GPT4All	72K+	Optional	Privacy-focused local LLM runner

💻 AI Coding Tools

Tools for AI-powered code completion, review, and development:

Platform	Stars	GPU Required	Description
Continue.dev	25K+	Yes (backend)	Open-source AI coding assistant for IDEs

Already covered in other sections: Open WebUI, LocalAI, Text Generation WebUI, TabbyML, Aider

Why Run AI Platforms on Clore.ai?

💰 Cost Efficiency

Most AI agent platforms themselves are lightweight (CPU-only), but they become powerful when connected to local GPU-accelerated LLMs. On Clore.ai, you can rent an RTX 4090 for ~$0.35/hr — a fraction of cloud API costs for heavy workloads.

🐳 Docker Native

Every platform in this section supports Docker deployment. Clore.ai servers come with Docker and NVIDIA drivers pre-installed, so you can be up and running in minutes.

🔒 Data Privacy

Self-hosting means your data, prompts, and conversations never leave your rented server. Perfect for enterprises and privacy-conscious users.

⚡ Flexible Architecture

Run the AI platform and the LLM on the same server, or split them across machines. Use API-based models for quick experiments, then switch to local models for production.

Common Patterns

Pattern 1: AI Platform + Cloud APIs

Rent a cheap CPU server on Clore.ai, deploy your platform (Dify, n8n, etc.), and connect to OpenAI/Anthropic APIs. Lowest cost for light usage.

Pattern 2: AI Platform + Local LLM (Same Server)

Rent a GPU server, run both the platform and Ollama/vLLM on the same machine. Best for privacy and consistent performance.

Pattern 3: AI Platform + Dedicated LLM Server

Run the platform on one server and the LLM on a separate GPU server. Best for scaling and team usage.

Quick Reference

If you want to...	Use this
Build AI workflows visually	Dify, Langflow, Flowise
Automate business processes with AI	n8n
Run autonomous coding agents	OpenHands, SWE-agent
Create multi-agent teams	CrewAI, MetaGPT
Self-host a ChatGPT alternative	LobeChat, LibreChat
Chat with your documents (RAG)	AnythingLLM, Dify
AI code completion in your IDE	Continue.dev, TabbyML
Run models 100% offline	Jan.ai, GPT4All

Getting Started

1. Choose your platform from the guides above

2. Rent a server on Clore.ai — see GPU Comparison for help choosing

3. Follow the guide — most platforms can be deployed with a single docker compose up

4. Connect models — use Ollama or vLLM for local inference, or plug in your API keys

Tip: Start with Dify or n8n if you're new to AI platforms — they offer the best balance of power and ease of use.