AI agent frameworks
A code-first Go toolkit for building, evaluating, and deploying AI agents and multi-agent workflows.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
same Go ecosystem; choose if you prefer event-driven design and MCP discovery over ADK-Go's API.
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.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
if your stack is Python and you need graph-based stateful agent orchestration.
Build resilient agents.
if you need a Microsoft-backed Python/.NET agent framework with multi-agent orchestration.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
if you prefer OpenAI's lightweight Python agent framework.
A lightweight, powerful framework for multi-agent workflows
if you want a batteries-included Python harness built on LangGraph.
The batteries-included agent harness.
if you want a production-focused Python multi-agent harness.
Multi-Agent Harness for Production AI
if you need role-based collaborative agent orchestration in Python.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
if you want a Python agent platform with run and manage tools.
Build, run, and manage agent platforms.
if you need a Kotlin/JVM agent framework.
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
if you need an enterprise Java agentic workflow platform.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
if you want a Python AI workforce framework with autonomous agents.
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
if you need a Java framework for distributed long-running agents.
Build distributed, production-grade, long-running agents.
if you want a Rust-core agent framework with Python wrapper.
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.
if you want a Python framework focused on rapid multi-agent production.
The fastest way to bring multi-agent workflows to production.
if you want an MCP-first Python agent framework.
Build effective agents using Model Context Protocol and simple workflow patterns
if you want an end-to-end Python/TypeScript 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.
if you want a Python memory-first, self-improving agent harness.
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
if you want a TypeScript agent harness/runtime layer.
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
if you want a C#/.NET SDK for integrating LLMs and agents.
Integrate cutting-edge LLM technology quickly and easily into your apps
if you want a managed cloud platform for building/deploying agents with TypeScript.
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
ships with WebUI/chat apps; not a library to embed.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
ships as a visual engineering platform, not a swappable library.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
is a full GUI platform for agentic workflows/RAG, not a code library.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
These projects were analysed and named adk-go among their alternatives. The relationship is not symmetric — how adk-go rates them is a separate judgement, made when adk-go is analysed in its own right.
calls adk-go “choose for building agents in Go with a code-first toolkit from Google.”
Integrate cutting-edge LLM technology quickly and easily into your apps
calls adk-go “choose if you want Google's code-first agent toolkit in Go.”
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
calls adk-go “Choose it when you want a Go-native code-first agent toolkit with Google ADK abstractions instead of AgenticGoKit's event-driven API.”
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.
calls adk-go “code-first Go toolkit for AI agents; choose for Go-based services.”
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
calls adk-go “Go-native agent toolkit; choose when you want to build agents in Go with control.”
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
calls adk-go “Choose when you want a code-first Go toolkit for building agents, especially for Go services.”
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
calls adk-go “Choose if you need a Go-native agent framework rather than Python.”
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
calls adk-go “Choose when building agents in Go and prefer a Google-maintained code-first toolkit.”
Build, run, and manage agent platforms.
calls adk-go “Choose for a code-first Go toolkit when you need a lightweight, low-latency agent service.”
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
calls adk-go “Go version of ADK; choose for Go-based agent services.”
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
calls adk-go “Choose when you need a Go-based, code-first agent toolkit instead of a TypeScript/no-code platform.”
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
calls adk-go “Go version of ADK; pick it for a Go-native agent development toolkit.”
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
calls adk-go “choose for a Go code-first agent toolkit instead of Python”
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
calls adk-go “choose it when you need a Go-native agent toolkit.”
Multi-Agent Harness for Production AI
calls adk-go “Google's code-first Go agent toolkit; choose if you are in Go and want native agent development.”
Agentic AI Framework for Java Developers
calls adk-go “Google's Go code-first agent toolkit; choose when building agents in Go with eval/deploy tooling.”
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
calls adk-go “when you want a code-first Go agent toolkit matching ADK patterns.”
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
calls adk-go “Choose it if you need a Go-native agent toolkit rather than working in Python.”
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
calls adk-go “Google's Go agent toolkit; choose for Go development with ADK.”
Build effective agents using Model Context Protocol and simple workflow patterns
calls adk-go “choose when you need Google's ADK in Go on the backend.”
⚙️🦀 Build modular and scalable LLM Applications in Rust