Best free AI dev platforms

Every tool below has a genuine free tier. We rank them by our editorial rating so you can start without paying.

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Ollama

Dev platform

4.8

A tool to run open-source LLMs locally with one command — 160k+ GitHub stars.

Pros

Local & privateOne-command runRich modelsCross-platform

Cons

Needs hardwareTechnicalNo cloud hosting

FreeFull review →

Hugging Face

Dev platform

4.8

The open-source community platform for AI models and datasets — the GitHub of machine learning.

Pros

Massive modelsActive communityComplete toolchainSpaces demos

Cons

TechnicalCompute is paidOnboarding curve

FreeFull review →

Open WebUI

Dev platform

4.7

A self-hosted open-source AI chat interface that connects to Ollama and other models.

Pros

Open-source, self-hostedPolished UIConnects to OllamaRich plugins

Cons

Needs self-deploymentTechnicalNo official cloud

FreeFull review →

LlamaIndex

Development platform

4.7

Data framework for LLM apps — connects private data to large models and is a standard way to build RAG.

Pros

RAG standardOpen sourceActive ecosystemRich integrations

Cons

Learning curveEngineering tuning cost

FreeFull review →

Dify

Dev platform

4.6

An open-source LLM app platform with visual orchestration for agents, RAG and workflows.

Pros

Open-source, self-hostableVisual orchestrationRAG/AgentMultiple models

Cons

Self-hosting needs opsAdvanced features paidLearning curve

FreeFull review →

n8n

Dev platform

4.6

An open-source workflow automation platform with AI nodes connecting hundreds of apps.

Pros

Open-source, self-hostableHuge integrationsAI nodesVisual

Cons

Complex flows need learningCloud is meteredTechnical

FreeFull review →

LM Studio

Dev platform

4.6

A desktop app to discover, download and run open-source LLMs locally with a GUI.

Pros

GUILocal & privateRich modelsLocal API

Cons

Needs hardwareTechnicalNo cloud

FreeFull review →

Webflow

Development platform

4.6

Visual website builder for designers, with AI capabilities for quickly generating pages and layouts.

Pros

Visual buildingHigh-quality codeMature CMSAI assistance

Cons

Learning curveNot cheapPlatform lock-in

FreeFull review →

Jan

Development platform

4.5

Open-source offline AI assistant that runs open models locally — your data never leaves your machine.

Pros

Runs offlineData stays on-deviceOpen source & freeCross-platform

Cons

Depends on hardwareModel ceiling set by your machine

FreeFull review →

LangChain

Dev platform

4.4

An open-source framework for building LLM apps, connecting models, tools and data.

Pros

Huge ecosystemRich integrationsActive communityLangSmith observability

Cons

Heavy abstractionsFast-changing versionsDeveloper-oriented

FreeFull review →

Coze

Dev platform

4.4

ByteDance's AI agent development platform to build and publish bots and workflows with no code.

Pros

No-code buildingRich pluginsMulti-channel publishingWorkflows

Cons

Separate global/China versionsAdvanced is paidLimited complex logic

FreeFull review →

Groq

Dev platform

4.3

Blazing-fast inference on custom LPU chips: open models at hundreds of tokens per second.

Pros

Astonishing speedGenerous free tierOpenAI-compatibleCheap

Cons

Mostly open modelsLean feature setPeak rate limits

FreeFull review →

Make

Dev platform

4.2

Visual automation on a canvas — more flexible and cheaper than Zapier.

Pros

Powerful visual builderGreat valueComplex logic supportRich integrations

Cons

Steeper learning curveCanvases get messyFiddly error debugging

FreeFull review →