Filter the directory by category, pricing, or platform, or search by what you want to do. To get a complete recommendation across a whole workflow, describe your goal in the planner and we’ll build an AI stack for you.
How are AI tools rated on RightAIChoice?
Each tool is scored on features, pricing, integrations, and real-world signals — independently, never pay-for-placement.
Are these AI tools free?
Many have a free tier. Each tool lists its current pricing, and you can filter the directory to free tools.
How many AI tools are listed, and how often is it updated?
The directory tracks 7,500+ AI tools and is refreshed continuously as pricing, features, and new tools change.
Open-source 7B-parameter bilingual Chinese-English LLM for text generation
Best for: Researchers needing a lightweight bilingual baseline for Chinese-English NLP experiments, Developers prototyping bilingual text generation on consumer GPUs (e.g., RTX 3090)
User-pays AI SDK – never front LLM inference costs.
Best for: Indie developers building AI apps without capital for API costs, SaaS founders wanting per-user billing without building billing infrastructure
All-in-one AI content & voiceover generator for creators
Best for: Content marketers needing an all-in-one text, image, and voice platform, Small business owners creating social media ads and product descriptions
Enterprise-grade AI dialogue platform connecting powerful LLMs to your personal world.
Best for: Personal users needing AI assistance for learning, writing, and info management, Researchers interacting with large volumes of documents and literature
Best for: Self-employed freelancers and independent contractors needing quick deduction answers, Small business owners and LLCs with simple US tax questions
Self-hosted open-source multi-agent framework for autonomous AI swarms
Best for: Developers building custom multi-agent workflows with self-hosted infrastructure, Teams wanting to avoid vendor lock-in and run agents on their own hardware
Benchmark AI agents on real-world software company tasks in a simulated environment.
Best for: AI safety researchers evaluating autonomous agents in realistic workflows, Agent framework developers comparing performance on multi-tool tasks
Best for: Individual developers who want consistent AI coding suggestions across multiple editors and frameworks, Development teams needing centralized prompt management once prompt library is GA
65-line Karpathy-inspired rules file for Cursor and VS Code AI assistants
Best for: Developers who want to experiment with AI prompt engineering in code editors, Cursor and VS Code users looking for lightweight AI behavior tuning
Open-source security scanner to red-team AI agents and audit MCP servers
Best for: Security engineers red-teaming AI agent system prompts and MCP servers, Developers building or using coding agents (Cursor, Claude Code) who need to check for poisoned skill files