Bottr vs Google Agent Development Kit

Bottr describes itself as an AI operating system for organizations building agents for specific use cases. Its catalog lists 100+ agents across 15 categories, including customer support, document processing, finance, HR, IT, compliance, healthcare and banking. Teams can select agents, connect shared resources and data, and configure deployments; Bottr says production deployment can take under 30 minutes. A no-code visual editor, REST API and embed widget are available, with role-based access controls and audit logs. The platform lists GPT, Claude, Gemini, Llama, Kimi and DeepSeek, with model switching per agent and support for users' own keys. Deployment options include cloud, VPC or private environments, on-premise and air-gapped setups. Bottr lists 100+ integrations, including Salesforce, SAP, Zendesk, Slack, HubSpot, Jira, ServiceNow and Microsoft 365. Its support offering includes ongoing optimization, accuracy tuning, agent rollouts and a support channel. The Free tier and Bottr Unlimited are each listed at free; Unlimited is subject to a Fair Usage Policy. Bottr cautions that AI output may be inaccurate and recommends evaluation, including human review where appropriate.

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.