building AI Tools

No-code, automation workflow tool for building Generative AI media applications.

AI-powered link-building platform that helps you generate personalized outreach messages for faster link building.

Boilerplate for quickly building AI products

Get started with building Fullstack Agents using Gemini 3.5 Flash and LangGraph

"building applications with LLMs through composability"

A low-code framework for building custom AI models like LLMs and other deep neural networks.

A neuro-symbolic framework for building applications with LLMs at the core.

A TypeScript framework for building and running AI agents with tools, memory, and visibility.

A framework for building NLP applications (e.g. agents, semantic search, question-answering) with language models.

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

"Open-source platform for building AI-powered virtual software developers"

TestSprite's AI offers end-to-end software testing by building test plans, writing code, executing tests, debugging, and reporting—all with minimal input. Ideal for dev teams needing self-serve testing across multiple scenarios.

Analyze any building architecture, and generate your own custom styles, in seconds.

framework for building applications with LLMs and Transformers (e.g. agents, semantic search, question-answering)

Open-source platform for building AI agent networks with multi-protocol support (WebSocket, gRPC, HTTP, MCP, A2A). #opensource

A framework for building high-performance AI agents, developed by ByteDance. It provides a flexible and efficient way to orchestrate complex agent workflows with built-in support for various LLMs.

Python library that helps building applications with LLMs through composability

A node-based interface for building and running Stable Diffusion workflows.

Agent-Oriented Programming for Building LLM Applications, Open-sourced by Alibaba