--- title: "openagent vs RD-Agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/haohao-end-openagent-vs-microsoft-rd-agent" tools: ["haohao-end-openagent", "microsoft-rd-agent"] --- # openagent vs RD-Agent ## Verdict Pick openagent if 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; pick RD-Agent if rD-Agent automates generic R&D processes using AI-driven data and model development, tailored for the Python ecosystem. It supports real-time interaction with. | | [openagent](/tools/haohao-end-openagent.md) | [RD-Agent](/tools/microsoft-rd-agent.md) | | --- | --- | --- | | Tagline | An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications. | Automating high-value generic R&D processes through AI-driven data and model development. | | Stars | 827 | 13,847 | | Forks | 80 | 1,760 | | Open issues | 45 | 192 | | Language | Python | Python | | 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 | RD-Agent automates generic R&D processes using AI-driven data and model development, tailored for the Python ecosystem. It supports real-time interaction with LLMs via a live web demo interface and offers detailed trace- | | Persona | - | - | | Runtime | - | - | | License | Open-source under MIT License | MIT | | Categories | AI Agents | Data & Retrieval, AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openagent](/tools/haohao-end-openagent.md) | [RD-Agent](/tools/microsoft-rd-agent.md) | | --- | --- | --- | | Days since push | 16d | 25d | | Open issues (now) | 45 | 192 | | Owner type | User | Organization | | Security scan | No MCP manifest | 10 low (10 low) | | Full report | [trust report](/tools/haohao-end-openagent/trust.md) | [trust report](/tools/microsoft-rd-agent/trust.md) | **Typed relationship:** openagent _(alternative)_ RD-Agent OpenAgent offers an end-to-end platform for building AI applications, similar to RD-Agent's goal of automating R&D processes, but with a focus on wider application development rather than just research. ## 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 ## Decision facts: RD-Agent - **Adopt for:** RD-Agent automates generic R&D processes using AI-driven data and model development, tailored for the Python ecosystem. It supports real-time interaction with LLMs via a live web demo interface and offers detailed trace- ## Choose when ### Choose openagent if… - Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.. - OpenAgent offers an end-to-end platform for building AI applications, similar to RD-Agent's goal of automating R&D processes, but with a focus on wider application development rather than just research. - 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. ### Choose RD-Agent if… - OpenAgent offers an end-to-end platform for building AI applications, similar to RD-Agent's goal of automating R&D processes, but with a focus on wider application development rather than just research. - Tags unique to RD-Agent: automation, data-mining, data-science, development. - Also covers Data & Retrieval, Model Training. - - When you need to automate high-value research and development tasks in AI, especially those requiring data-centric approaches. ## 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. ## When NOT to use RD-Agent - - If your R&D processes are highly customized or specific to non-Python environments. - - Should you require a more general-purpose AI agent without the specialized focus on data-driven AI for research and development. ## Common questions ### What is the difference between openagent and RD-Agent? openagent: An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.. RD-Agent: Automating high-value generic R&D processes through AI-driven data and model development.. See the comparison table for live GitHub stats and shared categories. ### When should I choose openagent over RD-Agent? Choose openagent over RD-Agent when Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.; OpenAgent offers an end-to-end platform for building AI applications, similar to RD-Agent's goal of automating R&D processes, but with a focus on wider application development rather than just research; 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 choose RD-Agent over openagent? Choose RD-Agent over openagent when OpenAgent offers an end-to-end platform for building AI applications, similar to RD-Agent's goal of automating R&D processes, but with a focus on wider application development rather than just research; Tags unique to RD-Agent: automation, data-mining, data-science, development; Also covers Data & Retrieval, Model Training; - When you need to automate high-value research and development tasks in AI, especially those requiring data-centric approaches. ### 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. ### When should I avoid RD-Agent? - If your R&D processes are highly customized or specific to non-Python environments. - Should you require a more general-purpose AI agent without the specialized focus on data-driven AI for research and development. ### Is openagent or RD-Agent more popular on GitHub? RD-Agent has more GitHub stars (13,847 vs 827). Stars measure visibility, not whether either tool fits your constraints. ### Are openagent and RD-Agent open source? Yes - both are open-source projects on GitHub (openagent: MIT, RD-Agent: MIT). ### Where can I find alternatives to openagent or RD-Agent? GraphCanon lists graph-backed alternatives at [openagent alternatives](/tools/haohao-end-openagent/alternatives) and [RD-Agent alternatives](/tools/microsoft-rd-agent/alternatives) ([openagent markdown twin](/tools/haohao-end-openagent/alternatives.md), [RD-Agent markdown twin](/tools/microsoft-rd-agent/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/haohao-end-openagent-vs-microsoft-rd-agent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openagent or RD-Agent? openagent: Active. RD-Agent: 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 openagent and RD-Agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openagent trust report](/tools/haohao-end-openagent/trust); [RD-Agent trust report](/tools/microsoft-rd-agent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=haohao-end-openagent`](/api/graphcanon/graph?tool=haohao-end-openagent) - 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/_