--- title: "Agently vs agent-starter-pack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentera-agently-vs-googlecloudplatform-agent-starter-pack" tools: ["agentera-agently", "googlecloudplatform-agent-starter-pack"] --- # Agently vs agent-starter-pack ## Verdict Coexists - Both coexist in the market, offering different levels of complexity and features. | | [Agently](/tools/agentera-agently.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Tagline | [GenAI Application Development Framework] | Production-ready templates for GenAI agents on Google Cloud | | Stars | 1,617 | 6,511 | | Forks | 176 | 1,495 | | Open issues | 9 | 46 | | Language | Python | Python | | Adopt for | Agently is a Python-based framework for developing GenAI applications that focuses on easy interaction with GenAI agents using structured data and event-driven flow management. It supports switching between different AI/ | The `agent-starter-pack` offers pre-built templates for deploying GenAI agents to Google Cloud with CI/CD, evaluation, and observability capabilities. However, it is transitioning into maintenance mode, steering users to | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Developer Tools | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agently](/tools/agentera-agently.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 10d | | Open issues (now) | 9 | 46 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/agentera-agently/trust.md) | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | **Typed relationship:** Agently _(successor)_ agent-starter-pack Agently provides a more advanced framework for building GenAI agents, while Google Cloud's starter pack offers basic production-ready templates. Agently could be seen as a more sophisticated successor. Coexists - Both coexist in the market, offering different levels of complexity and features. ## Decision facts: Agently - **Requirements:** Min 2 GB RAM; Requires Python installation; Supports multiple GenAI agents including GPT, Claude, and others - **Adopt for:** Agently is a Python-based framework for developing GenAI applications that focuses on easy interaction with GenAI agents using structured data and event-driven flow management. It supports switching between different AI/ ## Decision facts: agent-starter-pack - **Adopt for:** The `agent-starter-pack` offers pre-built templates for deploying GenAI agents to Google Cloud with CI/CD, evaluation, and observability capabilities. However, it is transitioning into maintenance mode, steering users to ## Choose when ### Choose Agently if… - Requirements: Min 2 GB RAM; Requires Python installation; Supports multiple GenAI agents including GPT, Claude, and others. - Agently provides a more advanced framework for building GenAI agents, while Google Cloud's starter pack offers basic production-ready templates. Agently could be seen as a more sophisticated successor. - Tags unique to Agently: ernie, deepseek, agent-framework, chatglm. - Also covers Developer Tools. - When you need to manage complex GenAI application logic through structured outputs, observable actions, and maintainable workflows. ### Choose agent-starter-pack if… - Agently provides a more advanced framework for building GenAI agents, while Google Cloud's starter pack offers basic production-ready templates. Agently could be seen as a more sophisticated successor. - Tags unique to agent-starter-pack: llmops, agents, gemini, observability. - Also covers Evaluation & Observability. - - You are looking for a near-immediate deployment option using pre-existing agent logic without extensive new feature development. ## When NOT to use Agently - If your requirements do not include handling stateful interactions and complex event-driven flows within your GenAI applications. - When you prefer framework-agnostic development without a structured flow for managing the integration points between different AI models and tools, as Agently provides a more prescriptive architecture ## When NOT to use agent-starter-pack - - You plan to develop custom features and require active development support; consider `agents-cli` instead as it is the current focus. - - Your project requires new deployment targets or templates since no future updates will be made to `agent-starter-pack` other than critical fixes. ## Common questions ### What is the difference between Agently and agent-starter-pack? Agently: [GenAI Application Development Framework]. agent-starter-pack: Production-ready templates for GenAI agents on Google Cloud. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agently over agent-starter-pack? Choose Agently over agent-starter-pack when Requirements: Min 2 GB RAM; Requires Python installation; Supports multiple GenAI agents including GPT, Claude, and others; Agently provides a more advanced framework for building GenAI agents, while Google Cloud's starter pack offers basic production-ready templates. Agently could be seen as a more sophisticated successor; Tags unique to Agently: ernie, deepseek, agent-framework, chatglm; Also covers Developer Tools; When you need to manage complex GenAI application logic through structured outputs, observable actions, and maintainable workflows. ### When should I choose agent-starter-pack over Agently? Choose agent-starter-pack over Agently when Agently provides a more advanced framework for building GenAI agents, while Google Cloud's starter pack offers basic production-ready templates. Agently could be seen as a more sophisticated successor; Tags unique to agent-starter-pack: llmops, agents, gemini, observability; Also covers Evaluation & Observability; - You are looking for a near-immediate deployment option using pre-existing agent logic without extensive new feature development. ### When should I avoid Agently? If your requirements do not include handling stateful interactions and complex event-driven flows within your GenAI applications. When you prefer framework-agnostic development without a structured flow for managing the integration points between different AI models and tools, as Agently provides a more prescriptive architecture ### When should I avoid agent-starter-pack? - You plan to develop custom features and require active development support; consider `agents-cli` instead as it is the current focus. - Your project requires new deployment targets or templates since no future updates will be made to `agent-starter-pack` other than critical fixes. ### Is Agently or agent-starter-pack more popular on GitHub? agent-starter-pack has more GitHub stars (6,511 vs 1,617). Stars measure visibility, not whether either tool fits your constraints. ### Are Agently and agent-starter-pack open source? Yes - both are open-source projects on GitHub (Agently: Apache-2.0, agent-starter-pack: Apache-2.0). ### Where can I find alternatives to Agently or agent-starter-pack? GraphCanon lists graph-backed alternatives at [Agently alternatives](/tools/agentera-agently/alternatives) and [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) ([Agently markdown twin](/tools/agentera-agently/alternatives.md), [agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agentera-agently-vs-googlecloudplatform-agent-starter-pack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agently or agent-starter-pack? Agently: Very active. agent-starter-pack: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Agently and agent-starter-pack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agently trust report](/tools/agentera-agently/trust); [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentera-agently`](/api/graphcanon/graph?tool=agentera-agently) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_