--- title: "agno vs mxnet" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-apache-mxnet" tools: ["agno-agi-agno", "apache-mxnet"] --- # agno vs mxnet *GraphCanon updated Jul 12, 2026* ## Verdict Pick agno when agno is primarily Python; mxnet is C++; pick mxnet when mxnet is primarily C++; agno is Python. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [mxnet](https://mxnet.apache.org) has 21k stars, 6.7k forks, and 2.0k open issues, last pushed Oct 25, 2023. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [mxnet's repository](https://github.com/apache/mxnet). | | [agno](/tools/agno-agi-agno.md) | [mxnet](/tools/apache-mxnet.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning Framework | | Stars | 41,090 | 20,815 | | Forks | 5,627 | 6,698 | | Open issues | 1,009 | 2,007 | | Language | Python | C++ | | Adopt for | 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. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Developer Tools | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [mxnet](/tools/apache-mxnet.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 990d | | Archived on GitHub | No | Yes | | Open issues (now) | 1.0k | 2.0k | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/apache-mxnet/trust.md) | ## Decision facts: agno - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/agno-agi-agno/alternatives) and [mxnet alternatives](/tools/apache-mxnet/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [mxnet markdown twin](/tools/apache-mxnet/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/agno-agi-agno-vs-apache-mxnet.md) 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](/tools/agno-agi-agno/trust); [mxnet trust report](/tools/apache-mxnet/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_