
AxOpen-source TypeScript framework for building LLM agents and agentic workflows.
Overview
Key features
- Declarative prompt and signature definitions
- Agent and tool orchestration primitives
- Multi-provider LLM support
- Streaming and structured output parsing
- Built-in support for chained reasoning
- Extensible with custom tools and adapters
Pricing
- Model
- Freemium
- Category
- AI Agents
- Rating
- 4.4 / 5 (5)
Use cases
Build Typed LLM Agents
Create AI agents with structured inputs, outputs, and tool orchestration using TypeScript signatures instead of brittle ad-hoc prompt strings.
Multi-Step Agentic Workflows
Compose chained reasoning steps and tool calls into maintainable workflows for tasks like research, data extraction, or automated decision-making.
Provider-Agnostic LLM Apps
Develop applications that work across multiple LLM providers, allowing teams to switch or compare models without rewriting core logic.
Self-Hosted AI Integrations
Embed open-source LLM capabilities into existing Node.js and TypeScript stacks where transparency, extensibility, and self-hosting are required.
Pros & Cons
Pros
- Strong TypeScript typing and developer ergonomics
- Open-source and self-hostable
- Works with multiple LLM providers
- Structured approach to agents and tools
Cons
- Requires TypeScript and coding knowledge
- Smaller ecosystem than larger frameworks
- Documentation can lag behind rapid changes
Reviews
Average from 5 ratings.
Sign in to leave a review.
Years in this space
I've evaluated a lot of these over the years. What stands out here is agent and tool orchestration primitives — handled better than most — and strong TypeScript typing and developer ergonomics. Requires TypeScript and coding knowledge is my one real gripe. Worth the time if this is your use case.
Does the job
Pretty happy overall. Agent and tool orchestration primitives just works and open-source and self-hostable. Documentation can lag behind rapid changes can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Compared a few options
Evaluated this against two competitors. Where it wins: declarative prompt and signature definitions and strong TypeScript typing and developer ergonomics. On balance the feature set — especially agent and tool orchestration primitives — justifies the 5 stars for our use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is extensible with custom tools and adapters — handled better than most — and strong TypeScript typing and developer ergonomics. Requires TypeScript and coding knowledge is my one real gripe. Worth the time if this is your use case.
Use it every day
Honestly didn't expect to like it this much. Declarative prompt and signature definitions is exactly what I needed, and structured approach to agents and tools. I do wish requires TypeScript and coding knowledge, but I reach for it almost every day now and it just clicks.
Q&A
What is the main advantage of using Ax?
Ax provides a structured approach to building LLM-powered applications, moving beyond ad-hoc prompt engineering toward more maintainable, typed code.
Asked by Ximena Torres · Jul 27, 2026
Can Ax work with multiple LLM providers?
Yes, Ax supports multiple LLM providers, including OpenAI and Google Gemini.
Asked by Thandiwe Dlamini · Jul 18, 2026
Is Ax an open-source framework?
Yes, Ax is an open-source project, allowing for transparency, extensibility, and self-hosting.
Asked by Tunde Balogun · Jul 12, 2026
What programming languages are supported by Ax?
Ax supports TypeScript, Python, Java, C, Go, and Rust.
Asked by Celia Ramirez · Apr 29, 2026
Ask a question
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