YouTube Summary & ChatGPT by Glasp vs Google Agent Development Kit (ADK)
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
YouTube Summary & ChatGPT by Glasp Agents | Google Agent Development Kit (ADK) Agents | |
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| Tagline | Chrome extension that surfaces YouTube transcripts and AI-generated video summaries alongside one-click access to ChatGPT. | Google's open-source framework for building, evaluating, and deploying production AI agents |
| Category | Agents | Agents |
| Pricing | Freemium· Basic: $10 · Pro: $25 | 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 | Multi-model (GPT-3.5, GPT-4, Claude, Mistral, Gemini) | Gemini (default) plus Claude, GPT-4/5, Llama, and other providers via LiteLLM |
| Editorial score | 6.9 / 10 | — |
| Use cases | youtube-summarizationtranscript-extractionbrowser-chatgptresearch-notes | 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 |
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| Website | chromewebstore.google.com | google.github.io |
Pick YouTube Summary & ChatGPT by Glasp if
- ✅ Free with broad model choice (GPT-4, Claude, Gemini, Mistral)
- ✅ Timestamp-linked summaries jump back into the video
- ✅ Customizable summary length and prompts
- ✅ Multi-language transcript and summary support
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