--- title: "gpt-researcher vs RD-Agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/assafelovic-gpt-researcher-vs-microsoft-rd-agent" tools: ["assafelovic-gpt-researcher", "microsoft-rd-agent"] --- # gpt-researcher vs RD-Agent *GraphCanon updated Aug 19, 2026* ## Verdict Pick gpt-researcher if gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill; pick RD-Agent if rD-Agent is an automation tool for AI-driven R&D processes, focusing on data and model development using Python with support from Docker installations. [gpt-researcher](https://gptr.dev) reports 29k GitHub stars, 3.9k forks, and 192 open issues, last pushed Jul 18, 2026. [RD-Agent](https://rdagent.azurewebsites.net/) has 14k stars, 1.8k forks, and 198 open issues, last pushed Aug 4, 2026. Figures are from public GitHub metadata via [gpt-researcher's repository](https://github.com/assafelovic/gpt-researcher) and [RD-Agent's repository](https://github.com/microsoft/RD-Agent). | | [gpt-researcher](/tools/assafelovic-gpt-researcher.md) | [RD-Agent](/tools/microsoft-rd-agent.md) | | --- | --- | --- | | Tagline | An autonomous agent that conducts deep research using LLM providers | Automating high-value R&D processes through AI-driven data science and model development. | | Stars | 28,883 | 14,275 | | Forks | 3,916 | 1,834 | | Open issues | 192 | 198 | | Language | Python | Python | | Adopt for | gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill. | RD-Agent is an automation tool for AI-driven R&D processes, focusing on data and model development using Python with support from Docker installations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt-researcher](/tools/assafelovic-gpt-researcher.md) | [RD-Agent](/tools/microsoft-rd-agent.md) | | --- | --- | --- | | Days since push | 21d | 14d | | Open issues (now) | 192 | 198 | | Stars delta | +737 (30d) | +332 (30d) | | Open issues delta | -18 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/assafelovic-gpt-researcher/trust.md) | [trust report](/tools/microsoft-rd-agent/trust.md) | **Typed relationship:** gpt-researcher _(related)_ RD-Agent Both GPT-Researcher and RD-Agent develop autonomous agents to conduct research, differing primarily by approach and scope. ## Shared compatibility - **Python**: [gpt-researcher](/tools/assafelovic-gpt-researcher.md) - Python runtime; [RD-Agent](/tools/microsoft-rd-agent.md) - Python runtime ## Decision facts: gpt-researcher - **Pricing:** freemium - The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their - **Adopt for:** gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill. ## Decision facts: RD-Agent - **Pricing:** freemium - RD-Agent operates under the MIT license allowing free use of the tool. Its framework for R&D automation can be expanded with premium services for enterprise-level support and integration if needed. - **Requirements:** Requires Docker; Ensure Docker is installed beforehand and accessible without `sudo` by the current user for RD-Agent operation.; Supports Python installations via PyPI or development setup from source, which also requires installation of dependencies as per the documentation. - **Adopt for:** RD-Agent is an automation tool for AI-driven R&D processes, focusing on data and model development using Python with support from Docker installations. ## Choose when ### Choose gpt-researcher if… - License: gpt-researcher is Apache-2.0, RD-Agent is MIT. - Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their. - Both GPT-Researcher and RD-Agent develop autonomous agents to conduct research, differing primarily by approach and scope. - Tags unique to gpt-researcher: deepresearch, llms, python. - gpt-researcher ships Docker support for self-hosted deployment. - - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily. ### Choose RD-Agent if… - License: RD-Agent is MIT, gpt-researcher is Apache-2.0. - Pricing: RD-Agent operates under the MIT license allowing free use of the tool. Its framework for R&D automation can be expanded with premium services for enterprise-level support and integration if needed.. - Requirements: Requires Docker; Ensure Docker is installed beforehand and accessible without `sudo` by the current user for RD-Agent operation.; Supports Python installations via PyPI or development setup from source, which also requires installation of dependencies as per the documentation.. - Both GPT-Researcher and RD-Agent develop autonomous agents to conduct research, differing primarily by approach and scope. - Tags unique to RD-Agent: data-mining, data-science, development, llm. - Also covers Model Training. - When you require automation in high-value R&D tasks that revolve around data science and model development within the AI domain. ## When NOT to use gpt-researcher - - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks. ## When NOT to use RD-Agent - When the need arises to work in an environment where Python cannot be used or there is a requirement for another programming language framework that complements existing infrastructure better. - If your development team lacks expertise with Docker and is not willing or able to adopt it, as most scenarios within RD-Agent require a solid Docker setup. ## Common questions ### What is the difference between gpt-researcher and RD-Agent? gpt-researcher: An autonomous agent that conducts deep research using LLM providers. RD-Agent: Automating high-value R&D processes through AI-driven data science and model development.. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpt-researcher over RD-Agent? Choose gpt-researcher over RD-Agent when License: gpt-researcher is Apache-2.0, RD-Agent is MIT; Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their; Both GPT-Researcher and RD-Agent develop autonomous agents to conduct research, differing primarily by approach and scope; Tags unique to gpt-researcher: deepresearch, llms, python; gpt-researcher ships Docker support for self-hosted deployment; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily. ### When should I choose RD-Agent over gpt-researcher? Choose RD-Agent over gpt-researcher when License: RD-Agent is MIT, gpt-researcher is Apache-2.0; Pricing: RD-Agent operates under the MIT license allowing free use of the tool. Its framework for R&D automation can be expanded with premium services for enterprise-level support and integration if needed.; Requirements: Requires Docker; Ensure Docker is installed beforehand and accessible without `sudo` by the current user for RD-Agent operation.; Supports Python installations via PyPI or development setup from source, which also requires installation of dependencies as per the documentation.; Both GPT-Researcher and RD-Agent develop autonomous agents to conduct research, differing primarily by approach and scope; Tags unique to RD-Agent: data-mining, data-science, development, llm; Also covers Model Training; When you require automation in high-value R&D tasks that revolve around data science and model development within the AI domain. ### When should I avoid gpt-researcher? - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks. ### When should I avoid RD-Agent? When the need arises to work in an environment where Python cannot be used or there is a requirement for another programming language framework that complements existing infrastructure better. If your development team lacks expertise with Docker and is not willing or able to adopt it, as most scenarios within RD-Agent require a solid Docker setup. ### Is gpt-researcher or RD-Agent more popular on GitHub? gpt-researcher has more GitHub stars (28,883 vs 14,275). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt-researcher and RD-Agent open source? Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, RD-Agent: MIT). ### Where can I find alternatives to gpt-researcher or RD-Agent? GraphCanon lists graph-backed alternatives at [gpt-researcher alternatives](/tools/assafelovic-gpt-researcher/alternatives) and [RD-Agent alternatives](/tools/microsoft-rd-agent/alternatives) ([gpt-researcher markdown twin](/tools/assafelovic-gpt-researcher/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/assafelovic-gpt-researcher-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, gpt-researcher or RD-Agent? gpt-researcher: 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 gpt-researcher and RD-Agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt-researcher trust report](/tools/assafelovic-gpt-researcher/trust); [RD-Agent trust report](/tools/microsoft-rd-agent/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=assafelovic-gpt-researcher`](/api/graphcanon/graph?tool=assafelovic-gpt-researcher) - 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/_