--- title: "goose vs openagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aaif-goose-goose-vs-haohao-end-openagent" tools: ["aaif-goose-goose", "haohao-end-openagent"] --- # goose vs openagent Neutral, constraint-first comparison with live GitHub stats. | | [goose](/tools/aaif-goose-goose.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Tagline | your native open source AI agent — desktop app, CLI, and API — for code, workflows, and everything in between | An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications. | | Stars | 50,819 | 825 | | Forks | 5,483 | 80 | | Open issues | 278 | 45 | | Language | Rust | Python | | Adopt for | Goose is an open-source, extensible AI agent developed for tasks beyond mere code suggestions. It supports integration with over 15 language models and connects to more than 70 extensions through the Model Contextualizer | 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 | Apache-2.0 | Open-source under MIT License | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [goose](/tools/aaif-goose-goose.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 13d | | Open issues (now) | 278 | 45 | | Owner type | Organization | User | | Full report | [trust report](/tools/aaif-goose-goose/trust.md) | [trust report](/tools/haohao-end-openagent/trust.md) | **Typed relationship:** goose _(alternative)_ openagent goose and openagent are both full-fledged AI agent platforms designed for a wide range of tasks including building, orchestrating, publishing, and operating AI applications. ## Decision facts: goose - **Adopt for:** Goose is an open-source, extensible AI agent developed for tasks beyond mere code suggestions. It supports integration with over 15 language models and connects to more than 70 extensions through the Model Contextualizer ## 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 goose if… - goose is primarily Rust; openagent is Python. - License: goose is Apache-2.0, openagent is MIT. - goose and openagent are both full-fledged AI agent platforms designed for a wide range of tasks including building, orchestrating, publishing, and operating AI applications. - Tags unique to goose: api embedding, model-context-protocol, acp, rust. - goose ships Docker support for self-hosted deployment. - Ideal when working in environments that require on-machine processing without reliance on cloud services. ### Choose openagent if… - openagent is primarily Python; goose is Rust. - License: openagent is MIT, goose 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.. - goose and openagent are both full-fledged AI agent platforms designed for a wide range of tasks including building, orchestrating, publishing, and operating AI applications. - 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 goose - Not recommended when cloud-based services are preferred due to Goose running on local machines only. - Avoid if looking for a tightly controlled environment; Goose is part of an open-source foundation and relies heavily on community contributions which might introduce uncertainty regarding long-term or ## 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 goose and openagent? goose: your native open source AI agent — desktop app, CLI, and API — for code, workflows, and everything in between. 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 goose over openagent? Choose goose over openagent when goose is primarily Rust; openagent is Python; License: goose is Apache-2.0, openagent is MIT; goose and openagent are both full-fledged AI agent platforms designed for a wide range of tasks including building, orchestrating, publishing, and operating AI applications; Tags unique to goose: api embedding, model-context-protocol, acp, rust; goose ships Docker support for self-hosted deployment; Ideal when working in environments that require on-machine processing without reliance on cloud services. ### When should I choose openagent over goose? Choose openagent over goose when openagent is primarily Python; goose is Rust; License: openagent is MIT, goose 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.; goose and openagent are both full-fledged AI agent platforms designed for a wide range of tasks including building, orchestrating, publishing, and operating AI applications; 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 goose? Not recommended when cloud-based services are preferred due to Goose running on local machines only. Avoid if looking for a tightly controlled environment; Goose is part of an open-source foundation and relies heavily on community contributions which might introduce uncertainty regarding long-term or ### 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 goose or openagent more popular on GitHub? goose has more GitHub stars (50,819 vs 825). Stars measure visibility, not whether either tool fits your constraints. ### Are goose and openagent open source? Yes - both are open-source projects on GitHub (goose: Apache-2.0, openagent: MIT). ### Where can I find alternatives to goose or openagent? GraphCanon lists graph-backed alternatives at /tools/aaif-goose-goose/alternatives and /tools/haohao-end-openagent/alternatives (/tools/aaif-goose-goose/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/aaif-goose-goose-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, goose or openagent? goose: 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 goose and openagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: goose: /tools/aaif-goose-goose/trust; openagent: /tools/haohao-end-openagent/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aaif-goose-goose`](/api/graphcanon/graph?tool=aaif-goose-goose) - 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/_