Google Agent Development Kit score factors
Editorial quality82
Practical utility92
Trust & transparency85
Freshness92
Engagement quality8
Momentum75
Decision guide · Reviewed Sep 23, 2026 · AI Agent & Chatbot Builders, AI Assistants, Open-Source & Self-Hosted Assistants
Google Agent Development Kit
79.8
Rasa
80.1Choose Google Agent Development Kit when you need developers and engineering teams building reliable, code-first multi-agent systems, voice agents, and deterministic workflows across Python, TypeScript, Go, Java, or Kotlin.. Choose Rasa when you need enterprises in regulated industries needing auditable, self-hosted chat and voice assistants with tight control over business logic.
At a glance
The practical differences
| Decision factor | Google Agent Development Kit | Rasa |
|---|---|---|
| Best for | developers and engineering teams building reliable, code-first multi-agent systems, voice agents, and deterministic workflows across Python, TypeScript, Go, Java, or Kotlin. | enterprises in regulated industries needing auditable, self-hosted chat and voice assistants with tight control over business logic |
| Not ideal for | non-technical business users seeking an all-in-one no-code UI or managed chatbot SaaS that requires zero programming or cloud configuration. | non-technical solo operators wanting a quick, turn-key chatbot without code, developer configuration, or custom logic definition |
| Pricing | At the review date of 2026-09-08, Google Agent Development Kit is open-source software provided free of charge under a permissive license. Infrastructure hosting on Google Cloud Run, GKE, or model inference API calls (via Gemini, OpenAI, Claude, or self-hosted servers) incur separate infrastructure or provider costs. | At the review date (September 2026), Rasa offers a free Developer Edition for up to 1,000 external or 100 internal conversations per month. Enterprise tiers (Rasa Pro and Rasa Studio) require contacting sales. |
| Key difference | ADK delivers first-party SDK support across five programming languages (Python, TypeScript, Go, Java, Kotlin) with built-in graph workflows, native MCP and Agent-to-Agent (A2A) protocols, intelligent token-conserving context compression, and direct Google Cloud Run/GKE deployment pathways. | Unlike pure LLM wrapper frameworks or rigid intent trees, Rasa's CALM architecture anchors generative language models inside explicit, deterministic business flows and supports air-gapped, on-premises deployment. |
| Overall rank | #34 | #27 |
| Review verdict | Google ADK is an excellent fit for software development teams needing a structured, multi-language codebase framework to orchestrate deterministic multi-agent workflows and voice agents. It is not designed for non-technical users seeking a standalone no-code SaaS chatbot creator. | Rasa suits enterprise engineering and product teams that require strict governance, auditability, and on-premises hosting for mission-critical chat and voice agents. It is not suitable for non-technical individuals looking for a simple, instant one-click bot builder with no infrastructure setup. |
Rasa score factors
Editorial quality82
Practical utility90
Trust & transparency85
Freshness87
Engagement quality6
Momentum100
Google Agent Development Kit strengths
- Native SDKs across Python, TypeScript, Go, Java, and Kotlin.
- Completely free and open-source under a permissive software license.
- Graph workflows provide structured execution paths with human intervention support.
- Sophisticated context and session management with rewind capabilities and compression.
- Extensive protocol compatibility including Model Context Protocol (MCP) and A2A.
Rasa strengths
- Supports air-gapped, on-premises, and private cloud deployment to meet strict data privacy standards
- Combines pro-code Python SDK flexibility with Rasa Studio visual flow editing
- CALM architecture prevents uncontrolled model hallucination across multi-step transactional flows
- Generous free Developer Edition available for local or production use up to 1,000 external sessions per month
- Native support for Model Context Protocol (MCP) and real-time voice primitives
Frequently asked
Google Agent Development Kit vs Rasa
Should I choose Google Agent Development Kit or Rasa?+
Choose Google Agent Development Kit when you need developers and engineering teams building reliable, code-first multi-agent systems, voice agents, and deterministic workflows across Python, TypeScript, Go, Java, or Kotlin.. Choose Rasa when you need enterprises in regulated industries needing auditable, self-hosted chat and voice assistants with tight control over business logic. ToolsRank scores Google Agent Development Kit 79.8 and Rasa 80.1; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Google Agent Development Kit cheaper than Rasa?+
Google Agent Development Kit: At the review date of 2026-09-08, Google Agent Development Kit is open-source software provided free of charge under a permissive license. Infrastructure hosting on Google Cloud Run, GKE, or model inference API calls (via Gemini, OpenAI, Claude, or self-hosted servers) incur separate infrastructure or provider costs. Rasa: At the review date (September 2026), Rasa offers a free Developer Edition for up to 1,000 external or 100 internal conversations per month. Enterprise tiers (Rasa Pro and Rasa Studio) require contacting sales. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai agent & chatbot builders?+
Rasa currently scores higher for ai agent & chatbot builders work. Google Agent Development Kit remains the stronger pick when your priority is developers and engineering teams building reliable, code-first multi-agent systems, voice agents, and deterministic workflows across Python, TypeScript, Go, Java, or Kotlin.. Avoid Rasa if you are non-technical solo operators wanting a quick, turn-key chatbot without code, developer configuration, or custom logic definition.
Can I use Google Agent Development Kit and Rasa together?+
Yes. Google Agent Development Kit stands out for aDK delivers first-party SDK support across five programming languages (Python, TypeScript, Go, Java, Kotlin) with built-in graph workflows, native MCP and Agent-to-Agent (A2A) protocols, intelligent token-conserving context compression, and direct Google Cloud Run/GKE deployment pathways. Rasa stands out for unlike pure LLM wrapper frameworks or rigid intent trees, Rasa's CALM architecture anchors generative language models inside explicit, deterministic business flows and supports air-gapped, on-premises deployment. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.