Comparison
agentfield vs neuron-ai
Verdict
Pick agentfield if agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript; pick neuron-ai if neuron-AI is specifically designed as an Agentic Framework for PHP developers to incorporate AI capabilities into their applications through the seamless integration of LLMs, tools, and vector.
Markdown twin · agentfield alternatives · neuron-ai alternatives
GraphCanon updated Sep 30, 2026
8views this month
vs
Trust & integrity
| Signal | agentfield | neuron-ai |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- agentfield
- Build, run and scale AI agents like API and microservices
- neuron-ai
- Agentic Framework for building production-ready AI applications in PHP
Stars
- agentfield
- 2.6k
- neuron-ai
- 2.1k
Forks
- agentfield
- 415
- neuron-ai
- 247
Open issues
- agentfield
- 45
- neuron-ai
- 6
Language
- agentfield
- Go
- neuron-ai
- PHP
Adopt for
- agentfield
- Agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript.
- neuron-ai
- Neuron-AI is specifically designed as an Agentic Framework for PHP developers to incorporate AI capabilities into their applications through the seamless integration of LLMs, tools, and vector databases with agents.
Persona
- agentfield
- -
- neuron-ai
- -
Runtime
- agentfield
- -
- neuron-ai
- -
License
- agentfield
- Apache-2.0
- neuron-ai
- MIT
Last pushed
- agentfield
- Sep 17, 2026
- neuron-ai
- Sep 19, 2026
Categories
- agentfield
- AI Agents, Inference & Serving
- neuron-ai
- AI Agents, Inference & Serving
Trust and health
Open issues (now)
- agentfield
- 45
- neuron-ai
- 6
Stars delta
- agentfield
- +93 (30d)
- neuron-ai
- +80 (30d)
Open issues delta
- agentfield
- -29 (30d)
- neuron-ai
- -3 (30d)
Full report
- agentfield
- Trust report
- neuron-ai
- Trust report
Choose agentfield if…
- agentfield is primarily Go; neuron-ai is PHP.
- License: agentfield is Apache-2.0, neuron-ai is MIT.
- Tags unique to agentfield: agent-auth, agent-authentication, agent-indentity, agent-scaling.
- When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices.
When NOT to use agentfield
- If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments.
- If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects.
- When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents.
Choose neuron-ai if…
- neuron-ai is primarily PHP; agentfield is Go.
- License: neuron-ai is MIT, agentfield is Apache-2.0.
- Tags unique to neuron-ai: llm-inference, php, vector-database.
- neuron-ai ships Docker support for self-hosted deployment.
- When you are a PHP developer looking for an agentic framework that allows integration of AI components directly in your existing stack.
When NOT to use neuron-ai
- If your application does not require integration of AI agents, sophisticated tools, or vector databases within the PHP framework as Neuron-AI doesn't offer standalone value without these integrations.
- When a different programming language is heavily favored over PHP in your project environment, Neuron-AI would then be less suitable due to its PHP-centric design.
- If immediate access to the latest advancements in AI components like neural networks or machine learning requires rapid iteration and experimentation beyond what PHP allows efficiently.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agent-Field/agentfield) · observed Sep 20, 2026
- GitHub forks (Agent-Field/agentfield) · observed Sep 20, 2026
- Last push (Agent-Field/agentfield) · observed Sep 17, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 30, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (neuron-core/neuron-ai) · observed Sep 20, 2026
- GitHub forks (neuron-core/neuron-ai) · observed Sep 20, 2026
- Last push (neuron-core/neuron-ai) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentfield 2.6k · neuron-ai 2.1k (synced Sep 20, 2026).
Common questions
- What is the difference between agentfield and neuron-ai?
- agentfield: Build, run and scale AI agents like API and microservices. neuron-ai: Agentic Framework for building production-ready AI applications in PHP. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentfield over neuron-ai?
- Choose agentfield over neuron-ai when agentfield is primarily Go; neuron-ai is PHP; License: agentfield is Apache-2.0, neuron-ai is MIT; Tags unique to agentfield: agent-auth, agent-authentication, agent-indentity, agent-scaling; When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices.
- When should I choose neuron-ai over agentfield?
- Choose neuron-ai over agentfield when neuron-ai is primarily PHP; agentfield is Go; License: neuron-ai is MIT, agentfield is Apache-2.0; Tags unique to neuron-ai: llm-inference, php, vector-database; neuron-ai ships Docker support for self-hosted deployment; When you are a PHP developer looking for an agentic framework that allows integration of AI components directly in your existing stack.
- When should I avoid agentfield?
- If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments. If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects. When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents.
- When should I avoid neuron-ai?
- If your application does not require integration of AI agents, sophisticated tools, or vector databases within the PHP framework as Neuron-AI doesn't offer standalone value without these integrations. When a different programming language is heavily favored over PHP in your project environment, Neuron-AI would then be less suitable due to its PHP-centric design. If immediate access to the latest advancements in AI components like neural networks or machine learning requires rapid iteration and experimentation beyond what PHP allows efficiently.
- Is agentfield or neuron-ai more popular on GitHub?
- agentfield has more GitHub stars (2,565 vs 2,101). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and neuron-ai open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, neuron-ai: MIT).
- Where can I find alternatives to agentfield or neuron-ai?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and neuron-ai alternatives (agentfield markdown twin, neuron-ai 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, agentfield or neuron-ai?
- agentfield: Very active. neuron-ai: Very 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 agentfield and neuron-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; neuron-ai trust report.