Botpress vs Google Agent Development Kit

Botpress is a platform for building, deploying, and monitoring AI agents for customer support and other workflows. Botpress Studio provides a visual environment for designing conversation flows, branching logic, and multi-step automations. Its Autonomous Engine uses language-model reasoning and structured logic to select actions, run workflows, and connect to APIs and external systems. Teams can add documents, websites, spreadsheets, and CSVs to Knowledge Bases, while Tables store structured data across sessions. Custom code actions, bespoke integrations, multiple LLM configurations, and API access support tailored development. Integrations include channels and services such as WhatsApp, Telegram, Messenger, Slack, Gmail, Google Drive, Linear, and Stripe; a bot can have up to 30 installed integrations. Botpress Cloud is a managed web application and the recommended platform for new development. Self-hosted or locally installed v12 versions are sunset and unavailable for new deployments. The Free plan costs nothing and includes 25 conversations, 3 seats, and 3 AI agents. Plus costs $150 a month billed annually and includes 250 conversations per month; Team costs $750 a month billed annually and includes 1,500 conversations per month.

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.