---
title: "agno vs penzai"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-google-deepmind-penzai"
tools: ["agno-agi-agno", "google-deepmind-penzai"]
---

# agno vs penzai

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick agno when tags unique to agno: agents, ai-agents, developer-tools; pick penzai when tags unique to penzai: fine-tuning, interpretability, jax, neural-networks.

[agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [penzai](https://penzai.readthedocs.io/) has 1.9k stars, 70 forks, and 17 open issues, last pushed Jun 22, 2025. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [penzai's repository](https://github.com/google-deepmind/penzai).

| | [agno](/tools/agno-agi-agno.md) | [penzai](/tools/google-deepmind-penzai.md) |
| --- | --- | --- |
| Tagline | Build, run, and manage your own agent platform. | A JAX research toolkit for building, editing, and visualizing neural networks. |
| Stars | 41,090 | 1,893 |
| Forks | 5,627 | 70 |
| Open issues | 1,009 | 17 |
| Language | Python | Python |
| 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 | Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agno](/tools/agno-agi-agno.md) | [penzai](/tools/google-deepmind-penzai.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Dormant (18%) |
| Days since push | 0d | 384d |
| Open issues (now) | 1.0k | 17 |
| Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/google-deepmind-penzai/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…

- Tags unique to agno: agents, ai-agents, developer-tools.
- 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.

### Choose penzai if…

- Tags unique to penzai: fine-tuning, interpretability, jax, neural-networks.
- Leaner open-issue backlog (17).

## 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 penzai

- Last GitHub push was 385 days ago (dormant maintenance, Jun 22, 2025). Validate activity before betting a new project on penzai.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

## Common questions

### What is the difference between agno and penzai?

agno: Build, run, and manage your own agent platform.. penzai: A JAX research toolkit for building, editing, and visualizing neural networks.. See the comparison table for live GitHub stats and shared categories.

### When should I choose agno over penzai?

Choose agno over penzai when Tags unique to agno: agents, ai-agents, developer-tools; 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 penzai over agno?

Choose penzai over agno when Tags unique to penzai: fine-tuning, interpretability, jax, neural-networks; Leaner open-issue backlog (17).

### 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 penzai?

Last GitHub push was 385 days ago (dormant maintenance, Jun 22, 2025). Validate activity before betting a new project on penzai. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

### Is agno or penzai more popular on GitHub?

agno has more GitHub stars (41,090 vs 1,893). Stars measure visibility, not whether either tool fits your constraints.

### Are agno and penzai open source?

Yes - both are open-source projects on GitHub (agno: Apache-2.0, penzai: Apache-2.0).

### Where can I find alternatives to agno or penzai?

GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [penzai alternatives](/tools/google-deepmind-penzai/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [penzai markdown twin](/tools/google-deepmind-penzai/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-google-deepmind-penzai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agno or penzai?

agno: Very active. penzai: Dormant. 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 penzai?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [penzai trust report](/tools/google-deepmind-penzai/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/_
