Alternatives to Google ADK

3 editor-selected alternatives · Google ADK overview →

source: tools.alternatives · stored order · active records only; review scores are annotations and never change membership or order

A directional evidence panel appears only when the substitute rationale, trade-offs, sources, and verification date have been recorded. Older selections without that panel remain visible but are unclassified under the new evidence contract.

OpenAI Agents SDK

86/100open sourceexplicit relation

OpenAI's Python framework for building multi-agent AI applications with GPT models. Provides primitives for creating agents with tool calling, handoffs between specialized agents, guardrails for input/output validation, and tracing for observability. Supports building complex workflows where agents collaborate on tasks. Includes built-in tools for file search, code execution, and web browsing. Designed for production agent systems with structured output and error recovery patterns.

100% free and open-source multi-agent orchestration framework (MIT License) developed by OpenAI. Zero software licensing or seat fees ($0). Operational costs derive entirely from underlying OpenAI API token consumption (e.g., GPT-4o, GPT-4o-mini, o1, o3-mini) across agent reasoning, tool execution, and guardrail checks.Review →

Claude Agent SDK

open sourceexplicit relation

Anthropic's Python SDK for building agentic AI applications powered by Claude models. Provides primitives for creating agents with tool use, multi-step reasoning, guardrails, handoffs between specialized agents, and structured output. Supports building complex agent workflows with tracing and observability. Designed for developers building production AI agents that interact with external systems, databases, and APIs using Claude as the reasoning backbone.

Free and open-source under MIT/Apache-2.0 for client SDKs and agent harnesses. Developers pay only for Anthropic API token consumption (Claude 3.5 Haiku at $0.80/$4.00 per MTok, Claude 3.5/3.7 Sonnet at $3.00/$15.00 per MTok, with up to 90% savings via Prompt Caching and 50% off via Message Batches).

LangChain

82/100open sourcefreemiumexplicit relation

The most widely-used framework for building LLM-powered applications, available in Python and JavaScript. Provides abstractions for chains, agents, RAG, memory, tool usage, and structured output. Integrates with 100+ LLM providers, vector stores, document loaders, and tools. LangSmith offers tracing and evaluation. LangGraph enables stateful, multi-agent workflows with cycles. 100K+ GitHub stars. The de facto standard for LLM application development despite growing alternatives like LlamaIndex.

Freemium open-source LLM application development framework (MIT License, 100k+ GitHub stars). The core Python and TypeScript libraries (pip install langchain, @langchain/core) are 100% free ($0) with no software licensing fees. LangSmith observability offers a Developer plan ($0/mo for 1 seat with 5k traces/mo), a Plus plan at $39/seat/month with 50k traces/mo, prompt engineering playground, and automated LLM evaluations, and an Enterprise tier with custom pricing for dedicated VPC/BYOC deployments, SAML SSO, RBAC, and dedicated 99.9% SLAs.Review →

Open-source Google ADK alternatives

OpenAI Agents SDK, Claude Agent SDK, LangChain — see all open-source developer tools.

Free Google ADK alternatives

LangChain offer a free plan or free tier.

More Agent Frameworks tools

same category, not editor-selected alternatives — see how Google ADK compares →

Grok BotGrok Bot is SpaceXAI's beta workspace for persistent AI teammates that use apps, websites, files, terminals, plugins, and MCP on a user-scoped cloud computer. Bots can learn routines, coordinate in parallel, and, when enabled by team policy, launch Cursor Cloud Agents that work on code in isolated environments and return pull requests and verification artifacts.LatitudeLatitude is an agent observability platform for teams that need to inspect LLM traces, conversations, issues, and evaluation feedback in one workflow. Its public repo and docs position it as a Sentry-style monitor for AI agents, with semantic search, issue detection, annotations, MCP-assisted fixes, and cloud or self-hosted deployment paths for production debugging.JudgevalJudgeval is the open-source post-building layer for AI agents from Judgment Labs, providing OpenTelemetry-based tracing, hosted and custom evaluation scorers, and online behavior monitoring for LLM-powered applications. Instrument any function with a single decorator, score live production traffic against faithfulness and instruction-adherence checks, and feed real-world failures back into reinforcement learning or supervised fine-tuning loops.Mem0Mem0 is an open-source intelligent memory layer for AI agents with 51K+ GitHub stars providing persistent, adaptive memory across sessions. It manages working, short-term, and long-term memory types, enabling personalized AI experiences that improve over time. Features automatic memory extraction from conversations, semantic search over stored memories, multi-format support, and integration with 100+ frameworks. Simple API for adding memory to any LLM-powered application or agent.chrome-devtools-mcpchrome-devtools-mcp is the Chrome DevTools team's official MCP server that lets coding agents control and inspect a live Chrome browser with first-party Chrome DevTools Protocol fidelity. It exposes Network inspection, Performance traces, Lighthouse audits, console output, and structured DOM snapshots as typed MCP tools, so agents can debug real pages and ship reliable web performance investigations without resorting to brittle DOM scraping.E2BE2B provides secure cloud sandboxes that let AI agents execute code, run terminal commands, and interact with filesystems in isolated environments. Each sandbox spins up in ~150ms with its own OS, giving agents a safe space to run untrusted code. Supports Python, JavaScript, and any language via custom Dockerfiles. Used by AI coding assistants, data analysis agents, and code interpreters. SDK available for Python and JavaScript with a simple API for programmatic sandbox control.LlamaIndexLeading Python framework for building LLM-powered applications with focus on data-aware and agentic workflows. Provides tools for RAG (Retrieval-Augmented Generation), document indexing, vector store integrations, query engines, and multi-agent orchestration. 150+ data connectors for various sources. Works with OpenAI, Anthropic, local models, and more. Includes LlamaHub for community tools and LlamaCloud for managed RAG pipelines. 50K+ GitHub stars.OpenWikiOpenWiki is LangChain’s open-source CLI for generating and maintaining an agent-focused wiki inside a codebase. It can create an openwiki/ documentation folder, update it from repository changes, add guidance to AGENTS.md or CLAUDE.md, and run via an interactive CLI or daily GitHub Action so coding agents have durable context without stuffing every detail into prompts.SupermemorySupermemory is a memory and context platform for AI assistants and agents. It ranks #1 on LongMemEval, LoCoMo, and ConvoMem, supports MCP for Claude/Cursor-style clients, provides plugins for developer tools, and combines memory extraction, user profiles, hybrid search, connectors, and RAG in one API.

Google ADK head-to-head

FAQ

Which Google ADK alternative is listed first?

OpenAI Agents SDK is first in the editor-selected list of 3 Google ADK alternatives and carries an editorial review score of 86/100. The stored order is editorial; review scores do not determine membership or position.

Are there open-source Google ADK alternatives?

Yes — OpenAI Agents SDK, Claude Agent SDK, LangChain are open source.

Are there free Google ADK alternatives?

Yes — LangChain offer a free plan or free tier.