Ax

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Category:AI Agent Development Frameworks

Overview

An open-source TypeScript framework for building LLM-powered agents and agentic workflows.

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AI researchers software developers data scientists machine learning engineers

Ax is an open-source TypeScript framework designed to facilitate the development of agents and workflows powered by large language models (LLMs). Inspired by Stanford's DSPy paper, Ax provides tools for creating chat interfaces, retrieval-augmented generation (RAG) systems, streaming applications, and multi-modal interactions. It supports various LLMs and vector databases, offers automatic prompt generation from simple signatures, and includes features like output validation during streaming, multi-agent orchestration, and OpenTelemetry tracing for observability. Ax aims to streamline the creation of efficient, production-ready AI applications.

Autonomy level

80%

Reasoning: Ax enables high autonomy through its support for multi-agent orchestration, automatic prompt generation from signatures, and self-learning capabilities via reinforcement learning. Agents built with Ax can autonomously execute complex workflows like document processing deployments while handling context-aware decision-making through integrated LLMs ...

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Some of the use cases of Ax:

Developing AI agents capable of complex task execution.
Implementing chat interfaces and conversational AI systems.
Creating retrieval-augmented generation (RAG) applications.
Building multi-modal AI applications with integrated LLMs.
Enhancing AI workflows with observability and tracing features.

Pricing model:

free

Code access:

open-source

Popularity level: 65%

Ax