---
title: "suna vs agent-kernel"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/kortix-ai-suna-vs-yaalalabs-agent-kernel"
tools: ["kortix-ai-suna", "yaalalabs-agent-kernel"]
---

# suna vs agent-kernel

*GraphCanon updated Aug 20, 2026*

## Verdict

Pick suna if suna; 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.

[suna](https://www.kortix.com) reports 20k GitHub stars, 3.4k forks, and 21 open issues, last pushed Aug 19, 2026. [agent-kernel](https://kernel.yaala.ai/) has 113 stars, 60 forks, and 128 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [suna's repository](https://github.com/kortix-ai/suna) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel).

| | [suna](/tools/kortix-ai-suna.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) |
| --- | --- | --- |
| Tagline | The Company AI Command Center | The Operating System for Scalable Enterprise AI Agents |
| Stars | 20,121 | 113 |
| Forks | 3,436 | 60 |
| Open issues | 21 | 128 |
| Language | TypeScript | Python |
| Adopt for | suna | 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 | - | - |
| Runtime | - | - |
| License | Other | Apache-2.0 |
| Categories | AI Agents | AI Agents |

## Trust and health

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

| | [suna](/tools/kortix-ai-suna.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) |
| --- | --- | --- |
| Days since push | 0d | 2d |
| Open issues (now) | 21 | 128 |
| Stars delta | +118 (30d) | Unknown |
| Open issues delta | -1 (30d) | Unknown |
| Full report | [trust report](/tools/kortix-ai-suna/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) |

## Decision facts: suna

- **Requirements:** Min 8 GB RAM; Requires Docker
- **Adopt for:** suna

## Decision facts: agent-kernel

- **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.
- **Adopt for:** 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.

## Choose when

### Choose suna if…

- suna is primarily TypeScript; agent-kernel is Python.
- License: suna is Other, agent-kernel is Apache-2.0.
- Requirements: Min 8 GB RAM; Requires Docker.
- Tags unique to suna: ai-agents, llm, self-hosting.
- When self-hosting capabilities are necessary, ensuring that your infrastructure operates on your own servers or private networks including laptops and VPC.

### Choose agent-kernel if…

- agent-kernel is primarily Python; suna is TypeScript.
- License: agent-kernel is Apache-2.0, suna is Other.
- 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 suna

- When minimal initial configuration beyond integration credentials is not desired since the self-hosting option requires setting up instances using Docker images or other infrastructure methods.
- If you prefer to rely entirely on cloud services for hosting without the need to manage local instances, suna's strong self-hosting model might not be your best choice.

## 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.

## Common questions

### What is the difference between suna and agent-kernel?

suna: The Company AI Command Center. 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 suna over agent-kernel?

Choose suna over agent-kernel when suna is primarily TypeScript; agent-kernel is Python; License: suna is Other, agent-kernel is Apache-2.0; Requirements: Min 8 GB RAM; Requires Docker; Tags unique to suna: ai-agents, llm, self-hosting; When self-hosting capabilities are necessary, ensuring that your infrastructure operates on your own servers or private networks including laptops and VPC.

### When should I choose agent-kernel over suna?

Choose agent-kernel over suna when agent-kernel is primarily Python; suna is TypeScript; License: agent-kernel is Apache-2.0, suna is Other; 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 suna?

When minimal initial configuration beyond integration credentials is not desired since the self-hosting option requires setting up instances using Docker images or other infrastructure methods. If you prefer to rely entirely on cloud services for hosting without the need to manage local instances, suna's strong self-hosting model might not be your best choice.

### 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 suna or agent-kernel more popular on GitHub?

suna has more GitHub stars (20,121 vs 113). Stars measure visibility, not whether either tool fits your constraints.

### Are suna and agent-kernel open source?

Yes - both are open-source projects on GitHub (suna: Other, agent-kernel: Apache-2.0).

### Where can I find alternatives to suna or agent-kernel?

GraphCanon lists graph-backed alternatives at [suna alternatives](/tools/kortix-ai-suna/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([suna markdown twin](/tools/kortix-ai-suna/alternatives.md), [agent-kernel markdown twin](/tools/yaalalabs-agent-kernel/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/kortix-ai-suna-vs-yaalalabs-agent-kernel.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, suna or agent-kernel?

suna: 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 suna and agent-kernel?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [suna trust report](/tools/kortix-ai-suna/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=kortix-ai-suna`](/api/graphcanon/graph?tool=kortix-ai-suna)
- 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/_
