--- title: "Agently vs agency" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentera-agently-vs-neurocult-agency" tools: ["agentera-agently", "neurocult-agency"] --- # Agently vs agency Neutral, constraint-first comparison with live GitHub stats. | | [Agently](/tools/agentera-agently.md) | [agency](/tools/neurocult-agency.md) | | --- | --- | --- | | Tagline | [GenAI Application Development Framework] | Library for exploring LLMs and generative AI in a clean, effective, Go-idiomatic approach | | Stars | 1,616 | 512 | | Forks | 175 | 36 | | Open issues | 8 | 4 | | Language | Python | Go | | 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/ | Agency is a Go-centric library that allows developers to explore Large Language Models (LLMs) and generative AI in a clean, effective manner. It provides OpenAI API bindings and supports custom operations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | Model Training, AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agently](/tools/agentera-agently.md) | [agency](/tools/neurocult-agency.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 546d | | Open issues (now) | 8 | 4 | | Security scan | 2 low (2 low) | 23 low (23 low) | | Full report | [trust report](/tools/agentera-agently/trust.md) | [trust report](/tools/neurocult-agency/trust.md) | **Typed relationship:** Agently _(alternative)_ agency 'Agency' and 'Agently' both offer frameworks for developing GenAI agents but differ in language support (Go vs. unspecified). ## 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: agency - **Pricing:** freemium - The core library is freely available under MIT license. Additional premium features might be introduced as the project evolves. - **Requirements:** Min 1 GB RAM - **Adopt for:** Agency is a Go-centric library that allows developers to explore Large Language Models (LLMs) and generative AI in a clean, effective manner. It provides OpenAI API bindings and supports custom operations. ## Choose when ### Choose Agently if… - Agently is primarily Python; agency is Go. - License: Agently is Apache-2.0, agency is MIT. - Requirements: Min 2 GB RAM; Requires Python installation; Supports multiple GenAI agents including GPT, Claude, and others. - 'Agency' and 'Agently' both offer frameworks for developing GenAI agents but differ in language support (Go vs. unspecified). - Tags unique to Agently: ernie, deepseek, agent-framework, chatglm. - When you need to manage complex GenAI application logic through structured outputs, observable actions, and maintainable workflows. ### Choose agency if… - agency is primarily Go; Agently is Python. - License: agency is MIT, Agently is Apache-2.0. - Pricing: The core library is freely available under MIT license. Additional premium features might be introduced as the project evolves.. - Requirements: Min 1 GB RAM. - 'Agency' and 'Agently' both offer frameworks for developing GenAI agents but differ in language support (Go vs. unspecified). - Tags unique to agency: go, agents, ai, artificial-intelligence. - Also covers Model Training. - A situation where you prefer Go over other languages for implementing LLMs. ## 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 agency - When your team prefers languages such as Python or JavaScript over Go for AI development tasks. - If there is a need for extensive machine learning libraries not supported by Go’s ecosystem, and Python's ecosystem suits better. - In scenarios where the project requires heavy use of external libraries that are poorly supported or not idiomatic in Go. - You prioritize rapid prototyping with less concern for performance and type safety, favoring dynamic languages like Python. ## Common questions ### What is the difference between Agently and agency? Agently: [GenAI Application Development Framework]. agency: Library for exploring LLMs and generative AI in a clean, effective, Go-idiomatic approach. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agently over agency? Choose Agently over agency when Agently is primarily Python; agency is Go; License: Agently is Apache-2.0, agency is MIT; Requirements: Min 2 GB RAM; Requires Python installation; Supports multiple GenAI agents including GPT, Claude, and others; 'Agency' and 'Agently' both offer frameworks for developing GenAI agents but differ in language support (Go vs. unspecified); Tags unique to Agently: ernie, deepseek, agent-framework, chatglm; When you need to manage complex GenAI application logic through structured outputs, observable actions, and maintainable workflows. ### When should I choose agency over Agently? Choose agency over Agently when agency is primarily Go; Agently is Python; License: agency is MIT, Agently is Apache-2.0; Pricing: The core library is freely available under MIT license. Additional premium features might be introduced as the project evolves.; Requirements: Min 1 GB RAM; 'Agency' and 'Agently' both offer frameworks for developing GenAI agents but differ in language support (Go vs. unspecified); Tags unique to agency: go, agents, ai, artificial-intelligence; Also covers Model Training; A situation where you prefer Go over other languages for implementing LLMs. ### 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 agency? When your team prefers languages such as Python or JavaScript over Go for AI development tasks. If there is a need for extensive machine learning libraries not supported by Go’s ecosystem, and Python's ecosystem suits better. In scenarios where the project requires heavy use of external libraries that are poorly supported or not idiomatic in Go. You prioritize rapid prototyping with less concern for performance and type safety, favoring dynamic languages like Python. ### Is Agently or agency more popular on GitHub? Agently has more GitHub stars (1,616 vs 512). Stars measure visibility, not whether either tool fits your constraints. ### Are Agently and agency open source? Yes - both are open-source projects on GitHub (Agently: Apache-2.0, agency: MIT). ### Where can I find alternatives to Agently or agency? GraphCanon lists graph-backed alternatives at /tools/agentera-agently/alternatives and /tools/neurocult-agency/alternatives (/tools/agentera-agently/alternatives.md, /tools/neurocult-agency/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 /compare/agentera-agently-vs-neurocult-agency.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agently or agency? Agently: Very active. agency: Dormant. 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 agency? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agently: /tools/agentera-agently/trust; agency: /tools/neurocult-agency/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/_