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Comparison

agno vs mxnet

Verdict

Pick agno when agno is primarily Python; mxnet is C++; pick mxnet when mxnet is primarily C++; agno is Python.

Markdown twin · agno alternatives · mxnet alternatives

GraphCanon updated today

agno logo

agno

agno-agi/agno

★ 41kpushed Jul 11, 2026
vs
mxnet logo

mxnet

apache/mxnet

★ 21kpushed Oct 25, 2023

Trust & integrity

Signalagnomxnet
Maintenance
Very active (0d since push)
As of today · github_public_v1
Archived (990d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none
agno trust reportmxnet trust reportTrust methodology

Tagline

agno
Build, run, and manage your own agent platform.
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning Framework

Stars

agno
41k
mxnet
21k

Forks

agno
5.6k
mxnet
6.7k

Open issues

agno
1.0k
mxnet
2.0k

Language

agno
Python
mxnet
C++

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.
mxnet
-

Persona

agno
-
mxnet
-

Runtime

agno
-
mxnet
-

License

agno
Apache-2.0
mxnet
Apache-2.0

Last pushed

agno
Jul 11, 2026
mxnet
Oct 25, 2023

Categories

agno
AI Agents, Developer Tools
mxnet
Inference & Serving, Model Training

Trust and health

Maintenance

agno
Very active (96%)
mxnet
Archived (8%)

Days since push

agno
0d
mxnet
990d

Archived on GitHub

agno
No
mxnet
Yes

Open issues (now)

agno
1.0k
mxnet
2.0k

Full report

agno
Trust report
mxnet
Trust report

Choose agno if…

  • agno is primarily Python; mxnet is C++.
  • Tags unique to agno: agents, ai-agents, developer-tools, python.
  • Also covers AI Agents, Developer Tools.
  • 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.
GitHubDetails

Choose mxnet if…

  • mxnet is primarily C++; agno is Python.
  • Tags unique to mxnet: apache-2.0 license, deep learning framework, high performance programming interface, hybridization.
  • Also covers Inference & Serving, Model Training.

When NOT to use mxnet

  • mxnet is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Explore

agno trust report →mxnet trust report →AI Agents category →Developer Tools category →Inference & Serving category →Model Training 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: agno 41k · mxnet 21k (synced Jul 11, 2026).

Common questions

What is the difference between agno and mxnet?
agno: Build, run, and manage your own agent platform.. mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning Framework. See the comparison table for live GitHub stats and shared categories.
When should I choose agno over mxnet?
Choose agno over mxnet when agno is primarily Python; mxnet is C++; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents, Developer Tools; 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 mxnet over agno?
Choose mxnet over agno when mxnet is primarily C++; agno is Python; Tags unique to mxnet: apache-2.0 license, deep learning framework, high performance programming interface, hybridization; Also covers Inference & Serving, Model Training.
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 mxnet?
mxnet is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is agno or mxnet more popular on GitHub?
agno has more GitHub stars (41,090 vs 20,815). Stars measure visibility, not whether either tool fits your constraints.
Are agno and mxnet open source?
Yes - both are open-source projects on GitHub (agno: Apache-2.0, mxnet: Apache-2.0).
Where can I find alternatives to agno or mxnet?
GraphCanon lists graph-backed alternatives at agno alternatives and mxnet alternatives (agno markdown twin, mxnet 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 mxnet?
agno: Very active. mxnet: Archived. 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 mxnet?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agno trust report; mxnet trust report.