Google Agent Development Kit (ADK) vs LobeHub

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Google Agent Development Kit (ADK) Agents	LobeHub Agents
Tagline	Google's open-source framework for building, evaluating, and deploying production AI agents	Open-source AI agent platform and chat UI supporting every major LLM, plugins, and multi-agent workflows.
Category	Agents	Agents
Pricing	Free· Framework itself is free and open-source (Apache 2.0). Costs come from the underlying model provider (e.g. Gemini API / Vertex AI usage) and any hosting infrastructure (Cloud Run, GKE, Agent Engine).	Freemium· Free: Free · Starter: $9.9 · Premium: $19.9 · Ultimate: $39.9
Model	Gemini (default) plus Claude, GPT-4/5, Llama, and other providers via LiteLLM	OpenAI GPT-4o/o1, Anthropic Claude 3.5/4, Google Gemini, DeepSeek, Mistral, Ollama, and 40+ other providers (bring-your-own-key)
Editorial score	—	—
Use cases	Multi-agent research assistantCustomer support triage agentRAG chatbot backed by Vertex AI SearchCode review and refactoring agentBigQuery natural-language analytics agentDocument processing pipelineVoice/streaming conversational agentInternal tool-use agent orchestrating APIsEvaluation and regression testing of LLM workflowsEnterprise workflow automation on Agent Engine	Self-hosted ChatGPT alternativeMulti-provider LLM comparisonCustom agent and persona marketplaceMCP plugin host and tool routerTeam knowledge assistant with shared memoryVoice and vision conversational UILocal Ollama chat frontendScheduled agent workflowsPrompt engineering workbench
Pros	Genuinely open-source (Apache 2.0) with active Google engineering behind it, not a hosted-only product Multi-language: first-class Python, Java, and Go SDKs — rare among agent frameworks that are usually Python-only Built-in dev UI (`adk web`) with trace inspection, event stream, and session replay speeds up debugging enormously Model-agnostic via LiteLLM — Gemini is default but Claude, GPT, and local models plug in cleanly Rich multi-agent primitives out of the box: SequentialAgent, ParallelAgent, LoopAgent, and hierarchical sub-agents Tight Google Cloud integration for deployment (Cloud Run, GKE, Agent Engine) plus native BigQuery/Vertex Search tools Evaluation harness with trajectory-level scoring is included, not a separate paid add-on First-class MCP (Model Context Protocol) client and server support	Truly model-agnostic: 40+ providers including local Ollama, so you can compare GPT, Claude, Gemini and open models in one UI Fully open source (LobeHub Community License) with 80k+ GitHub stars and an active release cadence One-click self-hosting on Vercel, Docker, or your own Postgres, keeping conversation data under your control Rich plugin and MCP ecosystem with 10k+ tools for web search, code execution, image gen and file handling Agent marketplace with thousands of pre-built prompts and personas you can fork and customize Voice conversation, vision, artifact rendering and PWA-quality UI on desktop and mobile Team-oriented features (agent groups, shared pages, scheduled runs, structured memory) push it beyond a solo chat client
Cons	Documentation and examples lean heavily on Gemini + Google Cloud; non-Google paths work but feel like second-class citizens API surface is still evolving — breaking changes between minor versions have been common through 2025-2026 Multi-agent orchestration primitives are powerful but the graph/callback model has a real learning curve compared to a plain prompt loop Agent Engine deployment is convenient but locks you into GCP billing and quotas TypeScript/Kotlin support lags the Python SDK in features and community examples	You bring your own API keys and pay the underlying model bills — no bundled inference on the self-hosted edition Setting up authentication, database, S3 storage and provider keys for multi-user self-hosting has a real learning curve Agent 'groups' and multi-agent orchestration are newer and less mature than dedicated agent frameworks like LangGraph or CrewAI Community License restricts certain commercial/multi-tenant hosting scenarios — not a pure MIT/Apache project Cloud tier pricing and quotas change frequently and can be less transparent than the open-source install Rapid feature churn occasionally ships regressions between minor versions
Website	google.github.io	lobehub.com

Pick Google Agent Development Kit (ADK) if

✅ Genuinely open-source (Apache 2.0) with active Google engineering behind it, not a hosted-only product
✅ Multi-language: first-class Python, Java, and Go SDKs — rare among agent frameworks that are usually Python-only
✅ Built-in dev UI (`adk web`) with trace inspection, event stream, and session replay speeds up debugging enormously
✅ Model-agnostic via LiteLLM — Gemini is default but Claude, GPT, and local models plug in cleanly

Pick LobeHub if

✅ Truly model-agnostic: 40+ providers including local Ollama, so you can compare GPT, Claude, Gemini and open models in one UI
✅ Fully open source (LobeHub Community License) with 80k+ GitHub stars and an active release cadence
✅ One-click self-hosting on Vercel, Docker, or your own Postgres, keeping conversation data under your control
✅ Rich plugin and MCP ecosystem with 10k+ tools for web search, code execution, image gen and file handling

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