--- title: "AutoRAG vs HippoRAG" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/marker-inc-korea-autorag-vs-osu-nlp-group-hipporag" tools: ["marker-inc-korea-autorag", "osu-nlp-group-hipporag"] --- # AutoRAG vs HippoRAG *GraphCanon updated Aug 8, 2026* ## Verdict Pick AutoRAG if autoRAG: Automate RAG task evaluation and optimization using AutoML techniques; pick HippoRAG if hippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents. [AutoRAG](https://marker-inc-korea.github.io/AutoRAG/) reports 5.0k GitHub stars, 419 forks, and 123 open issues, last pushed Aug 5, 2026. [HippoRAG](https://arxiv.org/abs/2405.14831) has 3.9k stars, 416 forks, and 7 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [AutoRAG's repository](https://github.com/Marker-Inc-Korea/AutoRAG) and [HippoRAG's repository](https://github.com/OSU-NLP-Group/HippoRAG). | | [AutoRAG](/tools/marker-inc-korea-autorag.md) | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | | --- | --- | --- | | Tagline | Open-source framework for RAG evaluation and optimization via AutoML | HippoRAG is a RAG framework enabling LLMs to continuously integrate knowledge from external documents. | | Stars | 4,968 | 3,902 | | Forks | 419 | 416 | | Open issues | 123 | 7 | | Language | TypeScript | Python | | Adopt for | AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques. | HippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices. | MIT | | Categories | Evaluation & Observability, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoRAG](/tools/marker-inc-korea-autorag.md) | [HippoRAG](/tools/osu-nlp-group-hipporag.md) | | --- | --- | --- | | Days since push | 2d | 3d | | Open issues (now) | 123 | 7 | | Full report | [trust report](/tools/marker-inc-korea-autorag/trust.md) | [trust report](/tools/osu-nlp-group-hipporag/trust.md) | ## Decision facts: AutoRAG - **Adopt for:** AutoRAG: Automate RAG task evaluation and optimization using AutoML techniques. - **License detail:** Apache-2.0 licensed, allowing free use in commercial projects while retaining copyright notices. ## Decision facts: HippoRAG - **Adopt for:** HippoRAG is a RAG framework that leverages Knowledge Graphs and Personalized PageRank for improved information retrieval from external documents. ## Choose when ### Choose AutoRAG if… - AutoRAG is primarily TypeScript; HippoRAG is Python. - License: AutoRAG is Apache-2.0, HippoRAG is MIT. - Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser. - Also covers Evaluation & Observability. - Automated benchmarking is needed for retrieval-augmented generation tasks ### Choose HippoRAG if… - HippoRAG is primarily Python; AutoRAG is TypeScript. - License: HippoRAG is MIT, AutoRAG is Apache-2.0. - Tags unique to HippoRAG: knowledge graphs, knowledge integration, language-models, personalized pagerank. - Also covers LLM Frameworks. - When integrating human-like long-term memory capabilities into LLM models to handle vast amounts of external knowledge ## When NOT to use AutoRAG - Requirements exceed capabilities of open-source tools - No need for RAG-specific optimization and evaluation features ## When NOT to use HippoRAG - If your application does not require continuous integration of external documents or personalized information retrieval - For simpler applications where standard RAG frameworks without KG Personalized PageRank suffice for performance requirements ## Common questions ### What is the difference between AutoRAG and HippoRAG? AutoRAG: Open-source framework for RAG evaluation and optimization via AutoML. HippoRAG: HippoRAG is a RAG framework enabling LLMs to continuously integrate knowledge from external documents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoRAG over HippoRAG? Choose AutoRAG over HippoRAG when AutoRAG is primarily TypeScript; HippoRAG is Python; License: AutoRAG is Apache-2.0, HippoRAG is MIT; Tags unique to AutoRAG: analysis, automl, benchmarking, document-parser; Also covers Evaluation & Observability; Automated benchmarking is needed for retrieval-augmented generation tasks. ### When should I choose HippoRAG over AutoRAG? Choose HippoRAG over AutoRAG when HippoRAG is primarily Python; AutoRAG is TypeScript; License: HippoRAG is MIT, AutoRAG is Apache-2.0; Tags unique to HippoRAG: knowledge graphs, knowledge integration, language-models, personalized pagerank; Also covers LLM Frameworks; When integrating human-like long-term memory capabilities into LLM models to handle vast amounts of external knowledge. ### When should I avoid AutoRAG? Requirements exceed capabilities of open-source tools No need for RAG-specific optimization and evaluation features ### When should I avoid HippoRAG? If your application does not require continuous integration of external documents or personalized information retrieval For simpler applications where standard RAG frameworks without KG Personalized PageRank suffice for performance requirements ### Is AutoRAG or HippoRAG more popular on GitHub? AutoRAG has more GitHub stars (4,968 vs 3,902). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoRAG and HippoRAG open source? Yes - both are open-source projects on GitHub (AutoRAG: Apache-2.0, HippoRAG: MIT). ### Where can I find alternatives to AutoRAG or HippoRAG? GraphCanon lists graph-backed alternatives at [AutoRAG alternatives](/tools/marker-inc-korea-autorag/alternatives) and [HippoRAG alternatives](/tools/osu-nlp-group-hipporag/alternatives) ([AutoRAG markdown twin](/tools/marker-inc-korea-autorag/alternatives.md), [HippoRAG markdown twin](/tools/osu-nlp-group-hipporag/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/marker-inc-korea-autorag-vs-osu-nlp-group-hipporag.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoRAG or HippoRAG? AutoRAG: Very active. HippoRAG: 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 AutoRAG and HippoRAG? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoRAG trust report](/tools/marker-inc-korea-autorag/trust); [HippoRAG trust report](/tools/osu-nlp-group-hipporag/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=marker-inc-korea-autorag`](/api/graphcanon/graph?tool=marker-inc-korea-autorag) - 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/_