Alternatives to Langchain4j

Open-source TypeScript toolkit for building AI apps and agents with 100+ models

Open-source AI framework by Google for building agentic apps in JS, Go, Python & Dart

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

Open-source Python framework for building multi-agent workflows with handoffs, guardrails, and voice.

Open-source framework for building multi-agent AI workflows.

Open-source TypeScript framework for building durable, observable AI agents and workflows.

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

Microsoft's open-source SDK for building production-grade AI agents with plugins, memory, and orchestration.

Open-source React UI components for building LLM chat interfaces

Open-source agentic AI data assistant for SQL, code, and reports

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

Chinese enterprise AI platform with open-source GLM models, MaaS APIs, and autonomous agents

Open-source multi-agent framework for role-based software engineering

Open AI toolkit for building loyal, auditable coding agents.

Open-source desktop AI agent with a built-in learning loop, deep memory, and multi-platform messaging.

Run any AI coding agent from your phone, desktop, or terminal—self-hosted, open source.

Open-source, token-efficient AI agent with smart routing, persistent memory, and secure sandbox execution.

Open-source LLM specialized for API function calling and tool use

Open-source AI agent that grows with you, automating 20+ messaging platforms.

Open-source self-hosted AI agent that plans tasks, runs tools, evolves memory, and deploys across 10+ channels.

Open-source streaming-first toolkit for AI agents to render your UI.

Open-source Python framework for semantic data wrangling with LLMs

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

Open-source Rust CLI that trims terminal noise before it hits your LLM.

Compress AI agent context by 60–90% locally with an open-source MCP server.

Ruby-first MCP client library for RubyLLM apps

React UI stack for building agentic user experiences with generative UI

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

Microsoft's framework for building production-grade agentic AI on Azure, now with Go SDK and GA Agent Harness.

Tessl is the agent enablement platform for building, testing, and governing AI agent skills.