Alternatives to Boundary ML

Build type-safe LLM agents in Rust with one unified provider API.

LMQL is a programming language for LLM interaction with typed constraints, nested queries, and multi-backend portability.

Open-source TypeScript toolkit for building AI apps with 100+ models, streaming, and agent support

Open-source Python library for guaranteed valid structured outputs from LLMs

Pydantic AI: Python SDK for typed, production-grade AI agents with every model a string swap away.

Open-source LLM that turns natural language into API calls for tool-using agents

TypeScript SDK to build AI agents with composable middleware and full control.

Build AI agents on small language models—run locally or via any OpenAI-compatible server.

Open-source AI agent SDK for production-grade Python & TypeScript agents

React frontend stack for building agentic user experiences with generative UI

Go-native LLM framework by ByteDance for building production-grade AI applications.

Google's open-source framework for building agentic AI apps in JS, Go, Python & Dart.

Open-source MCP testing & app framework for building ChatGPT Apps and Claude Connectors.

Open-source Python framework turning messy text into typed, queryable Semantic DataFrames

Open-source Java library for building LLM-powered apps with a unified API

GoAI SDK: one unified Go API across 25+ LLM providers with streaming, structured output, MCP support.

Deterministic, typed AI workflow DSL with Git-versioned .mthds files

Free visual prompt builder that compiles prompts into Claude-optimized XML blocks

Interactive 470-page ebook for building production LLM apps with Colab notebooks.

An open-source Python framework that turns ordinary functions into AI-powered tools via simple decorators.

Build LLM apps with decorators, observability, and full control.

An open-source Python library for steering LLMs with native control flow, regex, and CFG constraints.

Free GitHub repo of OpenAI API code examples, guides, and Jupyter notebooks.

LangChain中文文档与社区，助你快速掌握LLM应用开发

Open-source streaming-first toolkit that turns AI agent output into interactive UI, not JSON.

Document-aware AI editing SDK for rich-text editors

Fast, streaming LLM applications in Rust

Compress AI agent context by 60–90% with a local, open-source MCP server.

Open-source Swift package wrapping the OpenAI API with async/await and Combine.

Run LLMs in-browser with WebGPU — headless React hooks, just useLLM().