--- title: "Agently vs composio" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentera-agently-vs-composiohq-composio" tools: ["agentera-agently", "composiohq-composio"] --- # Agently vs composio ## Verdict Pick Agently if 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/; pick composio if composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core. | | [Agently](/tools/agentera-agently.md) | [composio](/tools/composiohq-composio.md) | | --- | --- | --- | | Tagline | [GenAI Application Development Framework] | Build AI agents that turn intent into action | | Stars | 1,617 | 29,166 | | Forks | 176 | 4,653 | | Open issues | 9 | 76 | | Language | Python | TypeScript | | 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/ | Composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core competencies lie in its extensive toolkit management, easy鲈 | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Agently](/tools/agentera-agently.md) | [composio](/tools/composiohq-composio.md) | | --- | --- | --- | | Open issues (now) | 9 | 76 | | Security scan | 2 low (2 low) | No criticals | | Full report | [trust report](/tools/agentera-agently/trust.md) | [trust report](/tools/composiohq-composio/trust.md) | **Typed relationship:** Agently _(alternative)_ composio Both frameworks aim to build AI agents that convert intent into action but might employ different methodologies and have unique feature sets. ## 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: composio - **Adopt for:** Composio is an innovative tool designed for developers wanting to build sophisticated AI agents capable of turning user intent into actionable outputs. Its core competencies lie in its extensive toolkit management, easy鲈 ## Choose when ### Choose Agently if… - Agently is primarily Python; composio is TypeScript. - License: Agently is Apache-2.0, composio is MIT. - Requirements: Min 2 GB RAM; Requires Python installation; Supports multiple GenAI agents including GPT, Claude, and others. - Both frameworks aim to build AI agents that convert intent into action but might employ different methodologies and have unique feature sets. - Tags unique to Agently: agent, agent-based-framework, agent-framework, chatglm. - Also covers Developer Tools. - When you need to manage complex GenAI application logic through structured outputs, observable actions, and maintainable workflows. ### Choose composio if… - composio is primarily TypeScript; Agently is Python. - License: composio is MIT, Agently is Apache-2.0. - Both frameworks aim to build AI agents that convert intent into action but might employ different methodologies and have unique feature sets. - Tags unique to composio: llmops, remote-mcp-server, agents, agentic-ai. - When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments. ## 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 composio - If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools. - When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages. - For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages. - If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发，而不是基础模型训练。 ## Common questions ### What is the difference between Agently and composio? Agently: [GenAI Application Development Framework]. composio: Build AI agents that turn intent into action. See the comparison table for live GitHub stats and shared categories. ### When should I choose Agently over composio? Choose Agently over composio when Agently is primarily Python; composio is TypeScript; License: Agently is Apache-2.0, composio is MIT; Requirements: Min 2 GB RAM; Requires Python installation; Supports multiple GenAI agents including GPT, Claude, and others; Both frameworks aim to build AI agents that convert intent into action but might employ different methodologies and have unique feature sets; Tags unique to Agently: agent, agent-based-framework, 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 composio over Agently? Choose composio over Agently when composio is primarily TypeScript; Agently is Python; License: composio is MIT, Agently is Apache-2.0; Both frameworks aim to build AI agents that convert intent into action but might employ different methodologies and have unique feature sets; Tags unique to composio: llmops, remote-mcp-server, agents, agentic-ai; When you need a robust framework that supports the development and deployment of AI agents in both TypeScript and Python environments. ### 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 composio? If your project requires extensive customization that exceeds the predefined capabilities of Composio's existing framework and integrated tools. When working within a strictly non-TypeScript or non-Python environment, since Composio focuses on providing seamless integration with these specific languages. For teams lacking proficiency in TypeScript and Python, as leveraging all features of Composio might require intermediate to advanced coding skills in these languages. If your focus is purely on lower-level machine learning model training; Composio SDK's primary utility lies at a higher level专注于工具包管理和代理开发，而不是基础模型训练。 ### Is Agently or composio more popular on GitHub? composio has more GitHub stars (29,166 vs 1,617). Stars measure visibility, not whether either tool fits your constraints. ### Are Agently and composio open source? Yes - both are open-source projects on GitHub (Agently: Apache-2.0, composio: MIT). ### Where can I find alternatives to Agently or composio? GraphCanon lists graph-backed alternatives at [Agently alternatives](/tools/agentera-agently/alternatives) and [composio alternatives](/tools/composiohq-composio/alternatives) ([Agently markdown twin](/tools/agentera-agently/alternatives.md), [composio markdown twin](/tools/composiohq-composio/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-composiohq-composio.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Agently or composio? Agently: Very active. composio: 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 composio? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Agently trust report](/tools/agentera-agently/trust); [composio trust report](/tools/composiohq-composio/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/_