---
title: "magentic vs neuron-ai"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/jackmpcollins-magentic-vs-neuron-core-neuron-ai"
tools: ["jackmpcollins-magentic", "neuron-core-neuron-ai"]
---

# magentic vs neuron-ai

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick magentic when magentic is primarily Python; neuron-ai is PHP; pick neuron-ai when neuron-ai is primarily PHP; magentic is Python.

[magentic](https://magentic.dev/) reports 2.4k GitHub stars, 127 forks, and 49 open issues, last pushed Mar 11, 2026. [neuron-ai](https://docs.neuron-ai.dev) has 2.0k stars, 228 forks, and 13 open issues, last pushed Jul 3, 2026. Figures are from public GitHub metadata via [magentic's repository](https://github.com/jackmpcollins/magentic) and [neuron-ai's repository](https://github.com/neuron-core/neuron-ai).

| | [magentic](/tools/jackmpcollins-magentic.md) | [neuron-ai](/tools/neuron-core-neuron-ai.md) |
| --- | --- | --- |
| Tagline | Seamlessly integrate LLMs as Python functions | The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that can interact with your data. |
| Stars | 2,412 | 2,007 |
| Forks | 127 | 228 |
| Open issues | 49 | 13 |
| Language | Python | PHP |
| Adopt for | - | Decision-critical facts about the neuron-ai framework |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | The neuron-ai framework is distributed under the MIT License, providing flexibility and wide usage rights with minimal obligations. |
| Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks, Vector Databases |

## Trust and health

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

| | [magentic](/tools/jackmpcollins-magentic.md) | [neuron-ai](/tools/neuron-core-neuron-ai.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Active (82%) |
| Days since push | 121d | 7d |
| Open issues (now) | 49 | 13 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/jackmpcollins-magentic/trust.md) | [trust report](/tools/neuron-core-neuron-ai/trust.md) |

## Decision facts: neuron-ai

- **Requirements:** Requires Docker; Relies heavily on Docker for managing dependencies and testing which may impact set-up complexity.
- **Adopt for:** Decision-critical facts about the neuron-ai framework
- **License detail:** The neuron-ai framework is distributed under the MIT License, providing flexibility and wide usage rights with minimal obligations.

## Choose when

### Choose magentic if…

- magentic is primarily Python; neuron-ai is PHP.
- Tags unique to magentic: agentic, chatbot, chatgpt, gpt.
- More GitHub stars (2.4k vs 2.0k) - visibility, not fit.

### Choose neuron-ai if…

- neuron-ai is primarily PHP; magentic is Python.
- Requirements: Requires Docker; Relies heavily on Docker for managing dependencies and testing which may impact set-up complexity..
- Tags unique to neuron-ai: agentic-ai, agentic-framework, agents, llm-inference.
- Also covers Vector Databases.
- If you are developing production-ready AI applications specifically with PHP, leveraging LLMs, tools, vector databases, and memory components in an agentic framework.

## When NOT to use magentic

- Last GitHub push was 122 days ago (slowing maintenance, Mar 11, 2026). Validate activity before betting a new project on magentic.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use neuron-ai

- When your development team does not have proficiency or familiarity with PHP as this framework is strictly designed around the PHP ecosystem.
- If you are seeking a solution for environments that do not support Docker or require non-PHP languages, as neuron-ai is optimized for and tightly integrated within the PHP environment.

## Common questions

### What is the difference between magentic and neuron-ai?

magentic: Seamlessly integrate LLMs as Python functions. neuron-ai: The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that can interact with your data.. See the comparison table for live GitHub stats and shared categories.

### When should I choose magentic over neuron-ai?

Choose magentic over neuron-ai when magentic is primarily Python; neuron-ai is PHP; Tags unique to magentic: agentic, chatbot, chatgpt, gpt; More GitHub stars (2.4k vs 2.0k) - visibility, not fit.

### When should I choose neuron-ai over magentic?

Choose neuron-ai over magentic when neuron-ai is primarily PHP; magentic is Python; Requirements: Requires Docker; Relies heavily on Docker for managing dependencies and testing which may impact set-up complexity.; Tags unique to neuron-ai: agentic-ai, agentic-framework, agents, llm-inference; Also covers Vector Databases; If you are developing production-ready AI applications specifically with PHP, leveraging LLMs, tools, vector databases, and memory components in an agentic framework.

### When should I avoid magentic?

Last GitHub push was 122 days ago (slowing maintenance, Mar 11, 2026). Validate activity before betting a new project on magentic. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid neuron-ai?

When your development team does not have proficiency or familiarity with PHP as this framework is strictly designed around the PHP ecosystem. If you are seeking a solution for environments that do not support Docker or require non-PHP languages, as neuron-ai is optimized for and tightly integrated within the PHP environment.

### Is magentic or neuron-ai more popular on GitHub?

magentic has more GitHub stars (2,412 vs 2,007). Stars measure visibility, not whether either tool fits your constraints.

### Are magentic and neuron-ai open source?

Yes - both are open-source projects on GitHub (magentic: MIT, neuron-ai: MIT).

### Where can I find alternatives to magentic or neuron-ai?

GraphCanon lists graph-backed alternatives at [magentic alternatives](/tools/jackmpcollins-magentic/alternatives) and [neuron-ai alternatives](/tools/neuron-core-neuron-ai/alternatives) ([magentic markdown twin](/tools/jackmpcollins-magentic/alternatives.md), [neuron-ai markdown twin](/tools/neuron-core-neuron-ai/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/jackmpcollins-magentic-vs-neuron-core-neuron-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, magentic or neuron-ai?

magentic: Slowing. neuron-ai: Active. 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 magentic and neuron-ai?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [magentic trust report](/tools/jackmpcollins-magentic/trust); [neuron-ai trust report](/tools/neuron-core-neuron-ai/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=jackmpcollins-magentic`](/api/graphcanon/graph?tool=jackmpcollins-magentic)
- 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/_
