Home/Compare/agno vs ququ

Comparison

agno vs ququ

Verdict

Pick agno if use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions; 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.

Markdown twin · agno alternatives · ququ alternatives

GraphCanon updated 5d

agno logo

agno

agno-agi/agno

42kpushed Aug 19, 2026
vs
ququ logo

ququ

yan5xu/ququ

2.3kpushed Oct 8, 2025

Trust & integrity

Signalagnoququ
Maintenance
Very active (0d since push)
As of 5d · github_public_v1
Slowing (295d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 5d · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
As of 1mo · 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

Tagline

agno
Build, run, and manage your own agent platform.
ququ
Open-source free Wispr Flow alternative integrating FunASR local models and configurable large language models for next-generation Chinese desktop voice workflow

Stars

agno
42k
ququ
2.3k

Forks

agno
5.8k
ququ
230

Open issues

agno
1.3k
ququ
51

Language

agno
Python
ququ
JavaScript

Adopt for

agno
Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
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

agno
-
ququ
-

Runtime

agno
-
ququ
-

License

agno
Apache-2.0
ququ
Other

Last pushed

agno
Aug 19, 2026
ququ
Oct 8, 2025

Categories

agno
AI Agents, Developer Tools
ququ
Developer Tools, Speech & Audio

Trust and health

Maintenance

agno
Very active (96%)
ququ
Slowing (36%)

Days since push

agno
0d
ququ
295d

Open issues (now)

agno
1.3k
ququ
51

Stars delta

agno
+487 (30d)
ququ
Unknown

Open issues delta

agno
+264 (30d)
ququ
Unknown

Owner type

agno
Organization
ququ
User

OSV dependency advisories

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

Full report

Choose agno if…

  • agno is primarily Python; ququ is JavaScript.
  • License: agno is Apache-2.0, ququ is Other.
  • Tags unique to agno: agents, ai-agents, developer-tools, python.
  • Also covers AI Agents.
  • Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.

When NOT to use agno

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Choose ququ if…

  • ququ is primarily JavaScript; agno is Python.
  • License: ququ is Other, agno is Apache-2.0.
  • 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.

Explore

Sources

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

GitHub stars on cards: agno 42k · ququ 2.3k (synced Aug 19, 2026).

Common questions

What is the difference between agno and ququ?
agno: Build, run, and manage your own agent platform.. 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 agno over ququ?
Choose agno over ququ when agno is primarily Python; ququ is JavaScript; License: agno is Apache-2.0, ququ is Other; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions.
When should I choose ququ over agno?
Choose ququ over agno when ququ is primarily JavaScript; agno is Python; License: ququ is Other, agno is Apache-2.0; 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 agno?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
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 agno or ququ more popular on GitHub?
agno has more GitHub stars (41,785 vs 2,251). Stars measure visibility, not whether either tool fits your constraints.
Are agno and ququ open source?
Yes - both are open-source projects on GitHub (agno: Apache-2.0, ququ: Other).
Where can I find alternatives to agno or ququ?
GraphCanon lists graph-backed alternatives at agno alternatives and ququ alternatives (agno 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, agno or ququ?
agno: 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 agno and ququ?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno trust report; ququ trust report.

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