ax-llm/ax

Health v2 · maintenance only

Adoption not part of the score

2885 stars · 190 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Ax is a TypeScript-first LLM programming framework implementing the DSPy model, providing typed signatures, agents, flows, and optimizers like GEPA across many LLM providers. The same semantic core is also compiled into Python, Java, C++, Go, and Rust libraries.

Use cases

• build typed structured LLM calls with validated outputs
• create DSPy-style prompt programs in TypeScript
• build LLM agents with memory and tool use
• optimize prompts and few-shot demos with GEPA
• build multi-step LLM workflows with branching and loops
• switch between OpenAI, Anthropic, Gemini, and local models
• build RAG pipelines with vector databases

When to choose

• you want DSPy-style prompt programming in TypeScript or Node.js
• you need typed, validated structured outputs from LLMs
• you want one framework spanning multiple LLM providers
• you need prompt optimization with metrics and teacher/student models
• you want the same LLM program model across several languages

When to avoid

• you only need raw chat completions without structure or optimization
• you need a language not covered by the compiled libraries
• you prefer Python-native DSPy with its full ecosystem
• you want a no-code or UI-driven LLM builder

Facets

framework · maturity active

llm-inference agent-framework rag prompt-engineering sdk machine-learning large-language-models artificial-intelligence developer-tools python jvm go rust cpp cross-platform dspy typed-signatures llm-optimization gepa multi-provider structured-output llm-workflows ai-agents retrieval-augmented-generation nodejs typescript

Member repositories

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