Comparison
agentfield vs agent-kernel
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 agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Markdown twin · agentfield alternatives · agent-kernel alternatives
GraphCanon updated Sep 30, 2026
8views this month
vs
Trust & integrity
| Signal | agentfield | agent-kernel |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (1d since push) As of Sep 13, 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 13, 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 Sep 27, 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
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- agentfield
- 2.6k
- agent-kernel
- 188
Forks
- agentfield
- 415
- agent-kernel
- 86
Open issues
- agentfield
- 45
- agent-kernel
- 137
Language
- agentfield
- Go
- agent-kernel
- Python
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.
- agent-kernel
- Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Persona
- agentfield
- -
- agent-kernel
- -
Runtime
- agentfield
- -
- agent-kernel
- -
License
- agentfield
- Apache-2.0
- agent-kernel
- Apache-2.0
Last pushed
- agentfield
- Sep 17, 2026
- agent-kernel
- Sep 11, 2026
Categories
- agentfield
- AI Agents, Inference & Serving
- agent-kernel
- AI Agents
Trust and health
Days since push
- agentfield
- 0d
- agent-kernel
- 1d
Open issues (now)
- agentfield
- 45
- agent-kernel
- 137
Stars delta
- agentfield
- +93 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- agentfield
- -29 (30d)
- agent-kernel
- +9 (30d)
Full report
- agentfield
- Trust report
- agent-kernel
- Trust report
Choose agentfield if…
- agentfield is primarily Go; agent-kernel is Python.
- Tags unique to agentfield: agent, agent-auth, agent-authentication, agent-indentity.
- Also covers Inference & Serving.
- 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 agent-kernel if…
- agent-kernel is primarily Python; agentfield is Go.
- Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
- Tags unique to agent-kernel: a2a, adk, aws, azure.
- If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When NOT to use agent-kernel
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
- When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
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 (yaalalabs/agent-kernel) · observed Sep 20, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Sep 20, 2026
- Last push (yaalalabs/agent-kernel) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Sep 27, 2026
GitHub stars on cards: agentfield 2.6k · agent-kernel 188 (synced Sep 20, 2026).
Common questions
- What is the difference between agentfield and agent-kernel?
- agentfield: Build, run and scale AI agents like API and microservices. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentfield over agent-kernel?
- Choose agentfield over agent-kernel when agentfield is primarily Go; agent-kernel is Python; Tags unique to agentfield: agent, agent-auth, agent-authentication, agent-indentity; Also covers Inference & Serving; When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices.
- When should I choose agent-kernel over agentfield?
- Choose agent-kernel over agentfield when agent-kernel is primarily Python; agentfield is Go; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
- 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 agent-kernel?
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
- Is agentfield or agent-kernel more popular on GitHub?
- agentfield has more GitHub stars (2,565 vs 188). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and agent-kernel open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agent-kernel: Apache-2.0).
- Where can I find alternatives to agentfield or agent-kernel?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and agent-kernel alternatives (agentfield markdown twin, agent-kernel 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 agent-kernel?
- agentfield: Very active. agent-kernel: 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 agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; agent-kernel trust report.