google/adk-python alternatives

drop-in peer; choose when optimizing for OpenAI models and lightweight multi-agent primitives.

A lightweight, powerful framework for multi-agent workflows

batteries-included Python agent harness; choose for opinionated policies built on LangGraph.

The batteries-included agent harness.

Python/.NET agent framework from Microsoft; choose for cross-language .NET integration.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

orchestrates external CLI agents rather than letting you build agents directly.

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Java-based enterprise workflow platform, not a Python code-first SDK.

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

Java framework for distributed long-running agents.

Build distributed, production-grade, long-running agents.

TypeScript platform for agent management rather than a Python code-first toolkit.

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

Rust core with Python wrapper for high-performance multi-agent workflows.

GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments.

Go-based agent framework with different runtime and language ecosystem.

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.

Python layer over LangGraph with Dify DSL support, a different abstraction stack.

Graph-Orchestrated Agent Loop — a production-grade framework on LangGraph. Combine workflow graphs and agent loops, transpile Dify DSL to runnable code, swap wire protocols (Dify/OpenAI).

memory-first agent harness with deep research focus, different emphasis than ADK.

The memory-first, self-improving agent harness built on EverOS, with MiroThinker-powered deep research and reasoning.

C#-centric LLM orchestration SDK with a broader app-integration scope.

Integrate cutting-edge LLM technology quickly and easily into your apps

production multi-agent harness with a different runtime model.

Multi-Agent Harness for Production AI

TypeScript-based agent engineering platform, not Python.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

MCP-centric workflow patterns; choose for an MCP-native stack.

Build effective agents using Model Context Protocol and simple workflow patterns

lower-level SDK for building your own agent harness.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

runtime-layer agent harness in TypeScript, different deployment model.

The open-source agent harness - the runtime layer that turns an LLM into a working agent.

lower-level graph orchestration library; choose if you want to hand-code state machines.

Build resilient agents.

event-driven framework for multi-agent systems on a message broker.

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

lighter-weight personal agent framework with WebUI; suitable for self-hosted personal use, not enterprise orchestration.

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

end-user personal agent application, not a developer framework.

The agent that grows with you

end-user AI assistant with one-line install, not a code-first framework.

Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)

personal AI assistant app with computer/browser-use features.

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

Go rewrite of an end-user assistant app with multi-tenant focus.

GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.