Comparison
Agently vs agent-starter-pack
Verdict
Coexists - Both coexist in the market, offering different levels of complexity and features.
Markdown twin · Agently alternatives · agent-starter-pack alternatives
GraphCanon updated today
vs
Tagline
- Agently
- [GenAI Application Development Framework]
- agent-starter-pack
- Production-ready templates for GenAI agents on Google Cloud
Stars
- Agently
- 1.6k
- agent-starter-pack
- 6.5k
Forks
- Agently
- 176
- agent-starter-pack
- 1.5k
Open issues
- Agently
- 9
- agent-starter-pack
- 46
Language
- Agently
- Python
- agent-starter-pack
- Python
Adopt for
- Agently
- 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/
- agent-starter-pack
- 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
- Agently
- -
- agent-starter-pack
- -
Runtime
- Agently
- -
- agent-starter-pack
- -
License
- Agently
- Apache-2.0
- agent-starter-pack
- Apache-2.0
Last pushed
- Agently
- Jul 10, 2026
- agent-starter-pack
- Jun 30, 2026
Categories
- Agently
- AI Agents, Developer Tools
- agent-starter-pack
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- Agently
- Very active (96%)
- agent-starter-pack
- Active (82%)
Days since push
- Agently
- 0d
- agent-starter-pack
- 10d
Open issues (now)
- Agently
- 9
- agent-starter-pack
- 46
Security scan
- Agently
- 2 low (2 low)
- agent-starter-pack
- No lockfile
Full report
- Agently
- Trust report
- agent-starter-pack
- Trust report
Typed relationship
Agently successor agent-starter-packAgently 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.
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.
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
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 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.
Explore
Agently trust report →agent-starter-pack trust report →AI Agents category →Developer Tools category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools
Related comparisons
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-cliinstead as it is the current focus. - Your project requires new deployment targets or templates since no future updates will be made toagent-starter-packother 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 and agent-starter-pack alternatives (Agently markdown twin, agent-starter-pack markdown twin), 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 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; agent-starter-pack trust report.