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

# agentos vs agent-kernel

*GraphCanon updated Aug 23, 2026*

## Verdict

Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in 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.

[agentos](https://docs.agentos.sh) reports 617 GitHub stars, 92 forks, and 10 open issues, last pushed Aug 7, 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 [agentos's repository](https://github.com/framerslab/agentos) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel).

| | [agentos](/tools/framerslab-agentos.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) |
| --- | --- | --- |
| Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | The Operating System for Scalable Enterprise AI Agents |
| Stars | 617 | 113 |
| Forks | 92 | 60 |
| Open issues | 10 | 128 |
| Language | TypeScript | Python |
| Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | 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 | Apache-2.0 | Apache-2.0 |
| Categories | AI Agents | AI Agents |

## Trust and health

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

| | [agentos](/tools/framerslab-agentos.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 15d | 2d |
| Open issues (now) | 10 | 128 |
| Stars delta | +16 (30d) | Unknown |
| Open issues delta | +1 (30d) | Unknown |
| Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) |

## Decision facts: agentos

- **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript.

## 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 agentos if…

- agentos is primarily TypeScript; agent-kernel is Python.
- Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent.
- Need for cognitive memory and real-time tool generation in AI agents

### Choose agent-kernel if…

- agent-kernel is primarily Python; agentos is TypeScript.
- 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 agentos

- Preferring frameworks without multi-agent orchestration support
- Prioritizing environments with less than eleven LLM provider options

## 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 agentos and agent-kernel?

agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. 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 agentos over agent-kernel?

Choose agentos over agent-kernel when agentos is primarily TypeScript; agent-kernel is Python; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents.

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

Choose agent-kernel over agentos when agent-kernel is primarily Python; agentos is TypeScript; 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 agentos?

Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options

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

agentos has more GitHub stars (617 vs 113). Stars measure visibility, not whether either tool fits your constraints.

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

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

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

GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/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/framerslab-agentos-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, agentos or agent-kernel?

agentos: 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 agentos and agent-kernel?

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

---

**Machine-readable endpoints**

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