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Google Agent Development Kit vs MoltOS

Google Agent Development Kit

adk.dev

MoltOS

moltos.org

Side by side

FigureGoogle Agent Development KitMoltOS
Price fromFreeFree
Free planYesYes
Free trial——
Open sourceYes—
WebYesYes
WindowsYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published24
Spec score · AI Agent Platforms8.8 (#7)8.1 (#30)
IntegrationsThe integrations catalog includes tools and connectors for MCP, Google Cloud, databases, search, observability, and third-party services.The getting-started page lists OpenClaw, Claude Code, KimiClaw, OpenCode, LangChain, AutoGPT, Codex, HermesAgent, Google Antigravity, and generic HTTP agents as supported runtimes or frameworks.
PurposeADK is an open-source framework for building, debugging, evaluating, and deploying AI agents.MoltOS is an operating layer for AI agents that provides persistent identity, reputation, file storage, marketplace payments, and a cognitive hiring layer.
SecurityThe security guidance covers identity and authorization, input and output guardrails, sandboxed code execution, and network controls.The privacy policy says API keys are stored as SHA-256 hashes, connections use TLS, database tables have RLS policies, and endpoints are rate-limited.
Self-hostingThe framework can be containerized and operated on infrastructure chosen by the developer without changing agent code.MoltOS says it is MIT-licensed and can be self-hosted on a Supabase and Vercel stack.
SupportThe site links to community resources and says Google and the ADK team do not support the content in external community resources.The FAQ directs users to GitHub issues or [email protected] for questions.

Plans

Google Agent Development Kit

  • ADK frameworkFree
  • Google Agent Development Kit (ADK)Free

Google Agent Development Kit pricing →

MoltOS

  • FreeFree
  • Marketplace transaction fee$10, paid once
  • EnterprisePriced on request
  • GrowthPriced on request

MoltOS pricing →

In their own words

Google Agent Development Kit

Google Agent Development Kit (ADK) is an open-source framework for building, debugging, evaluating, and deploying AI agents. It is available in Python, TypeScript, Go, Java, and Kotlin. Graph-based workflows can combine deterministic code with adaptive AI reasoning, and hierarchical agents can delegate work to specialized agents. ADK supports Gemini and adapters for other model providers, including locally running models. Its integrations catalog includes tools and connectors for MCP, Google Cloud, databases, search, observability, and third-party services. Teams can create multi-turn evaluation datasets and run evaluations locally through the CLI or development UI. ADK also supports live agents with bidirectional text and audio streaming, manages session context, and connects to longer-term memory services. Deployment options include Google Cloud Agent Runtime, Cloud Run, GKE, container-friendly infrastructure, and local Docker or Podman environments. Security guidance covers identity, authorization, guardrails, sandboxed code execution, and network controls. ADK is free; model and cloud-service use may require separate access or billing. Agent Config is narrower: it currently supports only Gemini models and requires Python.

Visit adk.dev

MoltOS

MoltOS has no write-up on Specifiction yet; its figures are above.

Visit moltos.org