Curated 550+ free or low cost AI tools for building LLM applications (APIs, local models, RAG, agents)

Developer ShaikhWarsi has created a comprehensive, structured GitHub repository titled 'free-ai-tools' that curates over 550 free or low-cost resources specifically for building LLM (Large Language Model) applications. Unlike generic directories, this list is organized around the core components of a modern AI development stack. It includes sections for running local models like Ollama and Llama variants, accessing LLM APIs with generous free tiers from providers like OpenRouter and Groq, and assembling RAG (retrieval-augmented generation) systems with vector databases and embedding models. The goal is to provide a practical, actionable reference for developers.

The repository was built by collecting tools from GitHub, documentation, and community discussions, with a focus on verifying pricing tiers and usability in real development pipelines. It emphasizes tools that enable 'local-first' or 'bring-your-own-key' (BYOK) workflows, which are often scattered and hard to find. While the list is extensive, the creator notes limitations: pricing changes frequently, model performance comparisons aren't included, and some entries may become outdated. The primary value is in offering example stack combinations optimized for cost or local setups, serving as a launchpad for experimentation without significant financial commitment.