--- title: "Agently vs agentscope" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentera-agently-vs-agentscope-ai-agentscope" tools: ["agentera-agently", "agentscope-ai-agentscope"] --- # Agently vs agentscope *GraphCanon updated Aug 20, 2026* ## Verdict Pick Agently if agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding; pick agentscope if agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design. [Agently](http://agently.tech) reports 1.6k GitHub stars, 181 forks, and 14 open issues, last pushed Aug 20, 2026. [agentscope](https://docs.agentscope.io/) has 29k stars, 3.4k forks, and 354 open issues, last pushed Aug 14, 2026. Figures are from public GitHub metadata via [Agently's repository](https://github.com/AgentEra/Agently) and [agentscope's repository](https://github.com/agentscope-ai/agentscope). | | [Agently](/tools/agentera-agently.md) | [agentscope](/tools/agentscope-ai-agentscope.md) | | --- | --- | --- | | Tagline | [GenAI Application Development Framework] | Build and run agents you can see, understand and trust. | | Stars | 1,637 | 28,973 | | Forks | 181 | 3,367 | | Open issues | 14 | 354 | | Language | Python | Python | | Adopt for | Agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding. | agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agently](/tools/agentera-agently.md) | [agentscope](/tools/agentscope-ai-agentscope.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 14 | 354 | | Stars delta | +9 (30d) | +1.0k (30d) | | Open issues delta | -1 (30d) | +70 (30d) | | Full report | [trust report](/tools/agentera-agently/trust.md) | [trust report](/tools/agentscope-ai-agentscope/trust.md) | **Typed relationship:** Agently _(related)_ agentscope Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different. ## Decision facts: Agently - **Adopt for:** Agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding. ## Decision facts: agentscope - **Adopt for:** agentscope is a Python-based development tool focused on creating transparent and trustworthy AI agents. It supports the creation of both single and multi-agent systems incorporating large language models into its design ## Choose when ### Choose Agently if… - Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different. - Tags unique to Agently: agent-based-framework, agent-framework, chatglm, claude. - Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites ### Choose agentscope if… - Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different. - Tags unique to agentscope: chatbot, large language models, llm, llm-agent. - - You need to develop AI agents where transparency and interpretability are critical. ## When NOT to use Agently - Do not require flexibility across different GenAI models; specific model commitment is preferred - *TriggerFlow*'s complexity is too high for very simple use cases or those needing direct simplicity over flow-based control ## When NOT to use agentscope - - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need ## Common questions ### What is the difference between Agently and agentscope? Agently: [GenAI Application Development Framework]. agentscope: Build and run agents you can see, understand and trust.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agently over agentscope? Choose Agently over agentscope when Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different; Tags unique to Agently: agent-based-framework, agent-framework, chatglm, claude; Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites. ### When should I choose agentscope over Agently? Choose agentscope over Agently when Both focus on building trustworthy AI agents but have distinct focuses and functionalities, making them related yet different; Tags unique to agentscope: chatbot, large language models, llm, llm-agent; - You need to develop AI agents where transparency and interpretability are critical. ### When should I avoid Agently? Do not require flexibility across different GenAI models; specific model commitment is preferred *TriggerFlow*'s complexity is too high for very simple use cases or those needing direct simplicity over flow-based control ### When should I avoid agentscope? - If your project does not benefit from the transparency features offered by agentscope, and less emphasis is placed on interpretability and more on specialized machine learning tasks without a need ### Is Agently or agentscope more popular on GitHub? agentscope has more GitHub stars (28,973 vs 1,637). Stars measure visibility, not whether either tool fits your constraints. ### Are Agently and agentscope open source? Yes - both are open-source projects on GitHub (Agently: Apache-2.0, agentscope: Apache-2.0). ### Where can I find alternatives to Agently or agentscope? GraphCanon lists graph-backed alternatives at [Agently alternatives](/tools/agentera-agently/alternatives) and [agentscope alternatives](/tools/agentscope-ai-agentscope/alternatives) ([Agently markdown twin](/tools/agentera-agently/alternatives.md), [agentscope markdown twin](/tools/agentscope-ai-agentscope/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-agentscope-ai-agentscope.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agently or agentscope? Agently: Very active. agentscope: Very 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 agentscope? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agently trust report](/tools/agentera-agently/trust); [agentscope trust report](/tools/agentscope-ai-agentscope/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/_