All AI Tools

Train AI models easily: no code, instant feedback, multiple data types.

Enhances machine learning, NLP, and computer vision capabilities.

AI personal task management and daily planning tool

Open-source Zapier alternative with AI capabilities

Build, deploy, and monetise AI models securely.

Build and deploy AI agents with natural language

Enhances AI with adaptive memory, reducing costs significantly.

AI personal memory assistant with wearable Pendant device Pricing: Freemium. See pros, cons, alternatives, and comparisons.

Open-source tool for ML observability that runs in your notebook environment, by Arize. Monitor and fine-tune LLM, CV, and tabular models.

Open Source Chatbot Framework

AI agent workflows for marketing, sales, and operations automation

*[reviews](https://altern.ai/product/tiledesk)* - Open-source LLM-enabled no-code chatbot development framework. Design, test and launch your flows on all your channels in minutes.

An open-source framework for building production-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluations, and experimentation.

Run AI models on-device for privacy and speed.

Open-source local Semantic Search + RAG for your data

Build, deploy, and optimize AI models with ultra-fast, scalable solutions.

Open-source machine learning framework by Google.

Explore AI's potential with interactive, open-source experiments.

private, open source client side text comparison tool

Construction management platform with AI features for project intelligence, risk detection, and analytics.

AI agent platform for companies to deploy internal knowledge agents

Free, open-source release tracker for AI coding tools. Aggregates changelogs from Cursor, Codex CLI, Gemini CLI, and more.

OpenClaw is a free, open-source AI assistant that lives on your computer — it can see your screen, use your apps, and do real work for you.

Cerebras Systems provides open-source GPT models optimized for their AI-specific hardware. While designed for large-scale deployment, Cerebras-GPT models can also be run on specific compatible local setups, making it suitable for research or enterprise applications.