CoreBase vs Google Agent Development Kit (ADK)

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

	CoreBase Agents	Google Agent Development Kit (ADK) Agents
Tagline	Governed AI-agent infrastructure that safely connects LLMs to your real data systems	Google's open-source framework for building, evaluating, and deploying production AI agents
Category	Agents	Agents
Pricing	Freemium· Free: $0 · Growth: $79/mo · Team: $249/mo · Enterprise: Custom	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).
Model	Bring-your-own-key: Claude, GPT-4/4o, Gemini (plus built-in fallback models)	Gemini (default) plus Claude, GPT-4/5, Llama, and other providers via LiteLLM
Editorial score	—	—
Use cases	Governed text-to-SQL over production warehousesInternal Slack copilot with Salesforce and Jira actionsOn-call agent that reads logs and opens ticketsCustomer-support assistant grounded in on-prem CRM dataCompliance-audited AI chat for regulated industriesEmbedded AI assistant inside SaaS products via widgetRead-only analyst copilot with approval gates on writesAir-gapped LLM deployment for defense or healthcare	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
Pros	Zero-trust CoreMCP bridge means on-prem systems stay behind the firewall — no inbound ports opened Read-only by default with approval gates on writes, so a jailbroken agent cannot drop a table Full audit trail of prompts, tool calls, rows returned — genuinely useful for SOC2/HIPAA reviews 50+ prebuilt connectors including MSSQL and legacy SaaS most agent frameworks ignore Bring-your-own-key for Claude, GPT and Gemini — no vendor model lock-in CoreMCP bridge is open source on GitHub, so the sensitive side is inspectable Query Memory reduces the schema-re-explaining that plagues text-to-SQL agents Air-gapped deployment path exists for regulated buyers	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
Cons	Governance overhead is overkill for solo builders or hobby projects AI credits on lower tiers ($1–$15/mo) run out fast on real workloads once BYO-key isn't set Only 5 data sources on the $49 Pro tier — mid-size teams jump straight to Team or Enterprise Ecosystem is young; fewer community integrations than LangChain/LlamaIndex-based stacks Air-gapped and advanced policy controls are gated behind Enterprise custom pricing	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
Website	corebasehq.com	google.github.io

Pick CoreBase if

✅ Zero-trust CoreMCP bridge means on-prem systems stay behind the firewall — no inbound ports opened
✅ Read-only by default with approval gates on writes, so a jailbroken agent cannot drop a table
✅ Full audit trail of prompts, tool calls, rows returned — genuinely useful for SOC2/HIPAA reviews
✅ 50+ prebuilt connectors including MSSQL and legacy SaaS most agent frameworks ignore

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

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