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Comparison

anything-llm vs ququ

Verdict

Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick ququ if ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models.

Markdown twin · anything-llm alternatives · ququ alternatives

GraphCanon updated Sep 20, 2026

9views this month

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

★ 66kpushed Sep 17, 2026
vs
ququ logo

ququ

yan5xu/ququ

★ 2.3kpushed Oct 8, 2025

Trust & integrity

Signalanything-llmququ
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (347d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No published findings from this source as of 2026-07-11
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
anything-llm trust reportququ trust reportTrust methodology

Tagline

anything-llm
Self-hosted AI agent experience
ququ
Open-source free Wispr Flow alternative integrating FunASR local models and configurable large language models for next-generation Chinese desktop voice workflow

Stars

anything-llm
66k
ququ
2.3k

Forks

anything-llm
7.3k
ququ
232

Open issues

anything-llm
315
ququ
53

Language

anything-llm
JavaScript
ququ
JavaScript

Adopt for

anything-llm
anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
ququ
ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models.

Persona

anything-llm
-
ququ
-

Runtime

anything-llm
-
ququ
-

License

anything-llm
MIT License, allowing for free use, modification, and distribution.
ququ
Other

Last pushed

anything-llm
Sep 17, 2026
ququ
Oct 8, 2025

Categories

anything-llm
AI Agents, Developer Tools, Inference & Serving
ququ
Developer Tools, Speech & Audio

Trust and health

Maintenance

anything-llm
Very active (96%)
ququ
Slowing (36%)

Days since push

anything-llm
0d
ququ
347d

Open issues (now)

anything-llm
315
ququ
53

Stars delta

anything-llm
+1.5k (30d)
ququ
+36 (30d)

Open issues delta

anything-llm
-4 (30d)
ququ
+2 (30d)

Owner type

anything-llm
Organization
ququ
User

OSV dependency advisories

anything-llm
No lockfile (source not queried)
ququ
No published findings from this source as of 2026-07-11

Full report

anything-llm
Trust report
ququ
Trust report

Choose anything-llm if…

  • License: anything-llm is MIT, ququ is Other.
  • Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
  • Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
  • Also covers AI Agents, Inference & Serving.
  • When you need a local-first AI agent experience that you can fully control and customize.

When NOT to use anything-llm

  • If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
  • When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
GitHubDetails

Choose ququ if…

  • License: ququ is Other, anything-llm is MIT.
  • Pricing: Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects..
  • Requirements: Min 2 GB RAM.
  • Tags unique to ququ: ai-text-processing, chinese-speech-recognition, electron-app, funasr.
  • Also covers Speech & Audio.
  • When you require a tool specifically tailored to the Chinese language in a desktop environment.

When NOT to use ququ

  • In environments where real-time processing speed is prioritized over local model accuracy and privacy benefits.
  • When the project requires support for multiple languages beyond Chinese.
  • For integration into mobile apps, as ququ focuses on desktop workflows.
GitHubDetails

Explore

anything-llm trust report →ququ trust report →AI Agents category →Developer Tools category →Inference & Serving category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: anything-llm 66k · ququ 2.3k (synced Sep 20, 2026).

Common questions

What is the difference between anything-llm and ququ?
anything-llm: Self-hosted AI agent experience. ququ: Open-source free Wispr Flow alternative integrating FunASR local models and configurable large language models for next-generation Chinese desktop voice workflow. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over ququ?
Choose anything-llm over ququ when License: anything-llm is MIT, ququ is Other; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
When should I choose ququ over anything-llm?
Choose ququ over anything-llm when License: ququ is Other, anything-llm is MIT; Pricing: Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects.; Requirements: Min 2 GB RAM; Tags unique to ququ: ai-text-processing, chinese-speech-recognition, electron-app, funasr; Also covers Speech & Audio; When you require a tool specifically tailored to the Chinese language in a desktop environment.
When should I avoid anything-llm?
If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
When should I avoid ququ?
In environments where real-time processing speed is prioritized over local model accuracy and privacy benefits. When the project requires support for multiple languages beyond Chinese. For integration into mobile apps, as ququ focuses on desktop workflows.
Is anything-llm or ququ more popular on GitHub?
anything-llm has more GitHub stars (66,167 vs 2,287). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and ququ open source?
Yes - both are open-source projects on GitHub (anything-llm: MIT, ququ: Other).
Where can I find alternatives to anything-llm or ququ?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and ququ alternatives (anything-llm markdown twin, ququ 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, anything-llm or ququ?
anything-llm: Very active. ququ: Slowing. 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 anything-llm and ququ?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; ququ trust report.

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