--- title: "ag-ui vs Agently" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ag-ui-protocol-ag-ui-vs-agentera-agently" tools: ["ag-ui-protocol-ag-ui", "agentera-agently"] --- # ag-ui vs Agently *GraphCanon updated Aug 20, 2026* ## Verdict Pick ag-ui if ag-UI specializes in integrating AI agents into frontend applications using TypeScript, providing a protocol for agent-user interaction; 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. [ag-ui](https://ag-ui.com) reports 15k GitHub stars, 1.4k forks, and 343 open issues, last pushed Aug 19, 2026. [Agently](http://agently.tech) has 1.6k stars, 181 forks, and 14 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [ag-ui's repository](https://github.com/ag-ui-protocol/ag-ui) and [Agently's repository](https://github.com/AgentEra/Agently). | | [ag-ui](/tools/ag-ui-protocol-ag-ui.md) | [Agently](/tools/agentera-agently.md) | | --- | --- | --- | | Tagline | Agent-User Interaction Protocol for Frontend Applications | [GenAI Application Development Framework] | | Stars | 15,412 | 1,637 | | Forks | 1,389 | 181 | | Open issues | 343 | 14 | | Language | Python | Python | | Adopt for | Ag-UI specializes in integrating AI agents into frontend applications using TypeScript, providing a protocol for agent-user interaction. | Agently, a Python framework for GenAI app development under Apache-2.0, simplifies agent interaction with structured data and supports model switching without recoding. | | Persona | - | - | | Runtime | - | - | | License | Ag-UI is licensed under MIT, allowing for open-source usage with contributions being openly permitted and encouraged. | Apache-2.0 | | Categories | AI Agents, Developer Tools | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ag-ui](/tools/ag-ui-protocol-ag-ui.md) | [Agently](/tools/agentera-agently.md) | | --- | --- | --- | | Open issues (now) | 343 | 14 | | Stars delta | +597 (30d) | +9 (30d) | | Open issues delta | +68 (30d) | -1 (30d) | | Full report | [trust report](/tools/ag-ui-protocol-ag-ui/trust.md) | [trust report](/tools/agentera-agently/trust.md) | ## Decision facts: ag-ui - **Hosting:** self hosted - Does not require specific hosting services but supports integration with cloud platforms such as Amazon Bedrock AgentCore. - **Pricing:** freemium - Ag-UI itself is free (MIT licensed), but users might incur costs if they decide to integrate it with paid services like Amazon's Bedrock AgentCore. - **Adopt for:** Ag-UI specializes in integrating AI agents into frontend applications using TypeScript, providing a protocol for agent-user interaction. - **License detail:** Ag-UI is licensed under MIT, allowing for open-source usage with contributions being openly permitted and encouraged. ## 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. ## Choose when ### Choose ag-ui if… - License: ag-ui is MIT, Agently is Apache-2.0. - Does not require specific hosting services but supports integration with cloud platforms such as Amazon Bedrock AgentCore. - Pricing: Ag-UI itself is free (MIT licensed), but users might incur costs if they decide to integrate it with paid services like Amazon's Bedrock AgentCore.. - Tags unique to ag-ui: ag-ui-protocol, agent-frontend, agent-ui, agentic-workflow. - Also covers Developer Tools. - Use Ag-UI if your project leverages TypeScript and you are looking to integrate AI agents directly into frontend applications efficiently. ### Choose Agently if… - License: Agently is Apache-2.0, ag-ui is MIT. - Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm. - Also covers LLM Frameworks. - Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites ## When NOT to use ag-ui - Avoid using Ag-UI if your application does not require integration with specific cloud platforms like Amazon Bedrock AgentCore, as it currently has limited third-party support. - Do not choose Ag-UI if you are developing applications that do not use TypeScript, as this limits the tool's applicability to other programming languages. ## 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 ## Common questions ### What is the difference between ag-ui and Agently? ag-ui: Agent-User Interaction Protocol for Frontend Applications. Agently: [GenAI Application Development Framework]. See the comparison table for live GitHub stats and shared categories. ### When should I choose ag-ui over Agently? Choose ag-ui over Agently when License: ag-ui is MIT, Agently is Apache-2.0; Does not require specific hosting services but supports integration with cloud platforms such as Amazon Bedrock AgentCore; Pricing: Ag-UI itself is free (MIT licensed), but users might incur costs if they decide to integrate it with paid services like Amazon's Bedrock AgentCore.; Tags unique to ag-ui: ag-ui-protocol, agent-frontend, agent-ui, agentic-workflow; Also covers Developer Tools; Use Ag-UI if your project leverages TypeScript and you are looking to integrate AI agents directly into frontend applications efficiently. ### When should I choose Agently over ag-ui? Choose Agently over ag-ui when License: Agently is Apache-2.0, ag-ui is MIT; Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm; Also covers LLM Frameworks; Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites. ### When should I avoid ag-ui? Avoid using Ag-UI if your application does not require integration with specific cloud platforms like Amazon Bedrock AgentCore, as it currently has limited third-party support. Do not choose Ag-UI if you are developing applications that do not use TypeScript, as this limits the tool's applicability to other programming languages. ### 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 ### Is ag-ui or Agently more popular on GitHub? ag-ui has more GitHub stars (15,412 vs 1,637). Stars measure visibility, not whether either tool fits your constraints. ### Are ag-ui and Agently open source? Yes - both are open-source projects on GitHub (ag-ui: MIT, Agently: Apache-2.0). ### Where can I find alternatives to ag-ui or Agently? GraphCanon lists graph-backed alternatives at [ag-ui alternatives](/tools/ag-ui-protocol-ag-ui/alternatives) and [Agently alternatives](/tools/agentera-agently/alternatives) ([ag-ui markdown twin](/tools/ag-ui-protocol-ag-ui/alternatives.md), [Agently markdown twin](/tools/agentera-agently/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/ag-ui-protocol-ag-ui-vs-agentera-agently.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ag-ui or Agently? ag-ui: Very active. Agently: 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 ag-ui and Agently? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ag-ui trust report](/tools/ag-ui-protocol-ag-ui/trust); [Agently trust report](/tools/agentera-agently/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ag-ui-protocol-ag-ui`](/api/graphcanon/graph?tool=ag-ui-protocol-ag-ui) - 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/_