I compiled a structured list of free or low cost tools that can actually be combined into usable development stacks. Instead of focusing on generic “AI tools directories”, the list is organised around components typically used when building LLM systems: -local models (Ollama, Qwen, Llama variants) -LLM APIs with usable free tiers (OpenRouter, Groq, Gemini etc) -coding IDEs and CLI tools for AI assisted development -RAG stack components (vector databases, embedding models, frameworks) -agent frameworks and orchestration tooling -speech image video inference APIs -example stack combinations optimised for cost or local first setups Currently includes 550+ entries (including model variants). One thing I noticed while putting this together is how many solid tools exist with generous free tiers but are scattered across docs, repos, or random blog posts, especially for local first or BYOK workflows. Method: collected tools from GitHub repos, documentation, benchmarks and community discussions, then verified pricing tiers and limits using multiple sources. Focus was on tools usable in real development pipelines. Limitations: -pricing and free tier limits change frequently -model performance comparisons are not included yet -coverage prioritises developer tooling over consumer AI apps -some entries may become outdated as providers change policies Repo https://github.com/ShaikhWarsi/free-ai-tools Goal is to maintain a practical reference for developers experimenting with LLM based systems without requiring large monthly spend. submitted by /u/Axintwo
Originally posted by u/Axintwo on r/ArtificialInteligence