Home/Compare/open-webui vs HippoRAG

Comparison

open-webui vs HippoRAG

Verdict

Pick open-webui when license: open-webui is Other, HippoRAG is MIT; pick HippoRAG when license: HippoRAG is MIT, open-webui is Other.

Markdown twin · open-webui alternatives · HippoRAG alternatives

GraphCanon updated today

open-webui logo

open-webui

open-webui/open-webui

145kpushed Jul 10, 2026
vs
HippoRAG logo

HippoRAG

OSU-NLP-Group/HippoRAG

3.9kpushed Jul 8, 2026

Trust & integrity

Signalopen-webuiHippoRAG
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Very active (3d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of 1d · mcp_manifest
124 low (124 low)
As of today · osv@v1

Tagline

open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
HippoRAG
[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized

Stars

open-webui
145k
HippoRAG
3.9k

Forks

open-webui
21k
HippoRAG
408

Open issues

open-webui
391
HippoRAG
12

Language

open-webui
Python
HippoRAG
Python

Adopt for

open-webui
Suitable for developers working with large language models who require a user-friendly interface and support for multiple APIs including Ollama and OpenAI.
HippoRAG
-

Persona

open-webui
-
HippoRAG
-

Runtime

open-webui
-
HippoRAG
-

License

open-webui
Other
HippoRAG
MIT

Last pushed

open-webui
Jul 10, 2026
HippoRAG
Jul 8, 2026

Categories

open-webui
Inference & Serving, LLM Frameworks
HippoRAG
Inference & Serving, LLM Frameworks, Vector Databases

Trust and health

Days since push

open-webui
0d
HippoRAG
3d

Open issues (now)

open-webui
391
HippoRAG
12

Security scan

open-webui
No MCP manifest
HippoRAG
124 low (124 low)

Full report

open-webui
Trust report
HippoRAG
Trust report

Choose open-webui if…

  • License: open-webui is Other, HippoRAG is MIT.
  • Tags unique to open-webui: ai, llm, openai, self-hosted.
  • When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface.

When NOT to use open-webui

  • When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui.
  • If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform.

Choose HippoRAG if…

  • License: HippoRAG is MIT, open-webui is Other.
  • Tags unique to HippoRAG: python.
  • Also covers Vector Databases.

When NOT to use HippoRAG

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: open-webui 145k · HippoRAG 3.9k (synced Jul 11, 2026).

Common questions

What is the difference between open-webui and HippoRAG?
open-webui: User-friendly AI Interface (Supports Ollama, OpenAI API, ...). HippoRAG: [NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized. See the comparison table for live GitHub stats and shared categories.
When should I choose open-webui over HippoRAG?
Choose open-webui over HippoRAG when License: open-webui is Other, HippoRAG is MIT; Tags unique to open-webui: ai, llm, openai, self-hosted; When you need to integrate multiple AI services, such as Ollama and OpenAI, into a unified user interface.
When should I choose HippoRAG over open-webui?
Choose HippoRAG over open-webui when License: HippoRAG is MIT, open-webui is Other; Tags unique to HippoRAG: python; Also covers Vector Databases.
When should I avoid open-webui?
When looking for tooling that exclusively supports APIs other than Ollama and OpenAI, as these are specific areas of focus for open-webui. If the requirement is a highly specialized interface tailored to specific tasks rather than a general AI interaction platform.
When should I avoid HippoRAG?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is open-webui or HippoRAG more popular on GitHub?
open-webui has more GitHub stars (145,029 vs 3,850). Stars measure visibility, not whether either tool fits your constraints.
Are open-webui and HippoRAG open source?
Yes - both are open-source projects on GitHub (open-webui: Other, HippoRAG: MIT).
Where can I find alternatives to open-webui or HippoRAG?
GraphCanon lists graph-backed alternatives at open-webui alternatives and HippoRAG alternatives (open-webui markdown twin, HippoRAG markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, open-webui or HippoRAG?
open-webui: 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 open-webui and HippoRAG?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-webui trust report; HippoRAG trust report.