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Floatbot AI vs Google Agent Development Kit

Floatbot AI

floatbot.ai

Google Agent Development Kit

adk.dev

Side by side

FigureFloatbot AIGoogle Agent Development Kit
Price from—Free
Free plan—Yes
Free trialYes—
Open source—Yes
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYesYes
Self-hosted—Yes
Plans published42
Spec score · AI Agent Platforms8.0 (#34)8.8 (#7)
IntegrationsThe site lists integrations including Twilio or Plivo, payment gateways, WhatsApp, Google Maps, and contact-center platforms.The integrations catalog includes tools and connectors for MCP, Google Cloud, databases, search, observability, and third-party services.
SupportFloatbot provides a support contact at [email protected].The site links to community resources and says Google and the ADK team do not support the content in external community resources.

Plans

Floatbot AI

  • EnterprisePriced on request
  • EssentialPriced on request
  • GrowthPriced on request
  • LitePriced on request

Floatbot AI pricing →

Google Agent Development Kit

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

Google Agent Development Kit pricing →

In their own words

Floatbot AI

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

Visit floatbot.ai

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