--- title: "agno vs openagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-haohao-end-openagent" tools: ["agno-agi-agno", "haohao-end-openagent"] --- # agno vs openagent Neutral, constraint-first comparison with live GitHub stats. | | [agno](/tools/agno-agi-agno.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Tagline | Build, run, and manage agent platforms. | An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications. | | Stars | 41,048 | 825 | | Forks | 5,609 | 80 | | Open issues | 1,009 | 45 | | Language | Python | Python | | Adopt for | Agno is an SDK for building and managing AI agent platforms, featuring robust development capabilities, production-level API features, security measures, extensive integrations, and a user-friendly UI. | OpenAgent is a full-stack platform designed for teams to create, manage, and publish AI applications with a combination of visual workflow authoring, an advanced backend stack (Flask, LangChain/LangGraph), and a Vue 3 UI | | Persona | - | - | | Runtime | - | - | | License | Agno is licensed under Apache-2.0, allowing for broad usage in both commercial and open-source projects with attribution requirements. | Open-source under MIT License | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 13d | | Open issues (now) | 1.0k | 45 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/haohao-end-openagent/trust.md) | **Typed relationship:** agno _(alternative)_ openagent Agno and openagent both serve as platforms for building, managing, and running AI agents. They offer similar functionality with their approaches to agent orchestration and management. ## Shared compatibility - **SSE**: [agno](/tools/agno-agi-agno.md) - SSE transport; [openagent](/tools/haohao-end-openagent.md) - SSE transport ## Decision facts: agno - **Pricing:** unknown - **Requirements:** Requires Docker; Requires Python environment setup, and Docker for deployment. - **Adopt for:** Agno is an SDK for building and managing AI agent platforms, featuring robust development capabilities, production-level API features, security measures, extensive integrations, and a user-friendly UI. - **License detail:** Agno is licensed under Apache-2.0, allowing for broad usage in both commercial and open-source projects with attribution requirements. ## Decision facts: openagent - **Requirements:** Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services. - **Adopt for:** OpenAgent is a full-stack platform designed for teams to create, manage, and publish AI applications with a combination of visual workflow authoring, an advanced backend stack (Flask, LangChain/LangGraph), and a Vue 3 UI - **License detail:** Open-source under MIT License ## Choose when ### Choose agno if… - License: agno is Apache-2.0, openagent is MIT. - Requirements: Requires Docker; Requires Python environment setup, and Docker for deployment.. - Agno and openagent both serve as platforms for building, managing, and running AI agents. They offer similar functionality with their approaches to agent orchestration and management. - Tags unique to agno: agents, python, ai-agents. - Also covers Developer Tools. - - **When you need comprehensive control**: Agno allows full ownership over the AI stack with detailed management and control of data, tools, permissions, context, and memory storage. ### Choose openagent if… - License: openagent is MIT, agno is Apache-2.0. - Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.. - Agno and openagent both serve as platforms for building, managing, and running AI agents. They offer similar functionality with their approaches to agent orchestration and management. - Tags unique to openagent: ai, flask, faiss-vector-database, docker. - - You need a comprehensive solution for building complex AI agents that can handle deep reasoning loops and multi-step tasks using technologies like RAG, A2A delegation. ## When NOT to use agno - - **If you're limited to specific cloud environments**: While Agno supports deployment on any platform with container support, it might not be the best if you need tightly integrated features of a non - containerized single-cloud service. - - **When you seek simplicity over control**: Other tools may offer quicker setup and less configuration but at the cost of deeper customization or management capabilities. ## When NOT to use openagent - - If you are looking for a platform primarily aimed at creating simple chatbots or single-purpose applications without the need for extensive workflow customization and deep reasoning capabilities. - - You prefer tools that do not rely heavily on visual component orchestration, as OpenAgent's strength lies in its visual workflow design environment which may be overkill for simpler use cases. ## Common questions ### What is the difference between agno and openagent? agno: Build, run, and manage agent platforms.. openagent: An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over openagent? Choose agno over openagent when License: agno is Apache-2.0, openagent is MIT; Requirements: Requires Docker; Requires Python environment setup, and Docker for deployment.; Agno and openagent both serve as platforms for building, managing, and running AI agents. They offer similar functionality with their approaches to agent orchestration and management; Tags unique to agno: agents, python, ai-agents; Also covers Developer Tools; - **When you need comprehensive control**: Agno allows full ownership over the AI stack with detailed management and control of data, tools, permissions, context, and memory storage. ### When should I choose openagent over agno? Choose openagent over agno when License: openagent is MIT, agno is Apache-2.0; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.; Agno and openagent both serve as platforms for building, managing, and running AI agents. They offer similar functionality with their approaches to agent orchestration and management; Tags unique to openagent: ai, flask, faiss-vector-database, docker; - You need a comprehensive solution for building complex AI agents that can handle deep reasoning loops and multi-step tasks using technologies like RAG, A2A delegation. ### When should I avoid agno? - **If you're limited to specific cloud environments**: While Agno supports deployment on any platform with container support, it might not be the best if you need tightly integrated features of a non containerized single-cloud service. - **When you seek simplicity over control**: Other tools may offer quicker setup and less configuration but at the cost of deeper customization or management capabilities. ### When should I avoid openagent? - If you are looking for a platform primarily aimed at creating simple chatbots or single-purpose applications without the need for extensive workflow customization and deep reasoning capabilities. - You prefer tools that do not rely heavily on visual component orchestration, as OpenAgent's strength lies in its visual workflow design environment which may be overkill for simpler use cases. ### Is agno or openagent more popular on GitHub? agno has more GitHub stars (41,048 vs 825). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and openagent open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, openagent: MIT). ### Where can I find alternatives to agno or openagent? GraphCanon lists graph-backed alternatives at /tools/agno-agi-agno/alternatives and /tools/haohao-end-openagent/alternatives (/tools/agno-agi-agno/alternatives.md, /tools/haohao-end-openagent/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/agno-agi-agno-vs-haohao-end-openagent.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or openagent? agno: Very active. openagent: 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 agno and openagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno: /tools/agno-agi-agno/trust; openagent: /tools/haohao-end-openagent/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_