--- title: "Agently vs awesome-ai-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentera-agently-vs-rohitg00-awesome-ai-apps" tools: ["agentera-agently", "rohitg00-awesome-ai-apps"] --- # Agently vs awesome-ai-apps *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 awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. [Agently](http://agently.tech) reports 1.6k GitHub stars, 181 forks, and 14 open issues, last pushed Aug 20, 2026. [awesome-ai-apps](https://agenstskills.com) has 817 stars, 174 forks, and 27 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [Agently's repository](https://github.com/AgentEra/Agently) and [awesome-ai-apps's repository](https://github.com/rohitg00/awesome-ai-apps). | | [Agently](/tools/agentera-agently.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Tagline | [GenAI Application Development Framework] | A curated collection of AI Agents and LLM Apps with various tech stacks | | Stars | 1,637 | 817 | | Forks | 181 | 174 | | Open issues | 14 | 27 | | Language | Python | HTML | | 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. | awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. | | 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) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 182d | | Open issues (now) | 14 | 27 | | Stars delta | +9 (30d) | Unknown | | Open issues delta | -1 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/agentera-agently/trust.md) | [trust report](/tools/rohitg00-awesome-ai-apps/trust.md) | ## 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: awesome-ai-apps - **Adopt for:** awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. ## Choose when ### Choose Agently if… - Agently is primarily Python; awesome-ai-apps is HTML. - Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm. - Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites ### Choose awesome-ai-apps if… - awesome-ai-apps is primarily HTML; Agently is Python. - Tags unique to awesome-ai-apps: agents, ai, apps, automation. - For exploring real-world implementations of AI agents across different technologies ## 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 awesome-ai-apps - When seeking detailed implementation steps specific to one technology stack - In scenarios demanding a deep dive into proprietary or less publicly-known application codes ## Common questions ### What is the difference between Agently and awesome-ai-apps? Agently: [GenAI Application Development Framework]. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agently over awesome-ai-apps? Choose Agently over awesome-ai-apps when Agently is primarily Python; awesome-ai-apps is HTML; Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm; Need to develop applications quickly using various GenAI models like GPT or Gemini without rewrites. ### When should I choose awesome-ai-apps over Agently? Choose awesome-ai-apps over Agently when awesome-ai-apps is primarily HTML; Agently is Python; Tags unique to awesome-ai-apps: agents, ai, apps, automation; For exploring real-world implementations of AI agents across different technologies. ### 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 awesome-ai-apps? When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes ### Is Agently or awesome-ai-apps more popular on GitHub? Agently has more GitHub stars (1,637 vs 817). Stars measure visibility, not whether either tool fits your constraints. ### Are Agently and awesome-ai-apps open source? Yes - both are open-source projects on GitHub (Agently: Apache-2.0, awesome-ai-apps: Apache-2.0). ### Where can I find alternatives to Agently or awesome-ai-apps? GraphCanon lists graph-backed alternatives at [Agently alternatives](/tools/agentera-agently/alternatives) and [awesome-ai-apps alternatives](/tools/rohitg00-awesome-ai-apps/alternatives) ([Agently markdown twin](/tools/agentera-agently/alternatives.md), [awesome-ai-apps markdown twin](/tools/rohitg00-awesome-ai-apps/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-rohitg00-awesome-ai-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agently or awesome-ai-apps? Agently: Very active. awesome-ai-apps: Slowing. 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 awesome-ai-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agently trust report](/tools/agentera-agently/trust); [awesome-ai-apps trust report](/tools/rohitg00-awesome-ai-apps/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/_