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

# kalliope vs agent-kernel

*GraphCanon updated Aug 9, 2026*

## Verdict

Pick kalliope if kalliope is an open-source Python framework designed for the development of customizable personal assistants, featuring robust speech recognition and synthesis capabilities; 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.

[kalliope](https://kalliope-project.github.io/) reports 1.8k GitHub stars, 231 forks, and 27 open issues, last pushed Jul 2, 2023. [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 [kalliope's repository](https://github.com/kalliope-project/kalliope) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel).

| | [kalliope](/tools/kalliope-project-kalliope.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) |
| --- | --- | --- |
| Tagline | A framework for creating personal assistants | The Operating System for Scalable Enterprise AI Agents |
| Stars | 1,768 | 113 |
| Forks | 231 | 60 |
| Open issues | 27 | 128 |
| Language | Python | Python |
| Adopt for | Kalliope is an open-source Python framework designed for the development of customizable personal assistants, featuring robust speech recognition and synthesis capabilities. | 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 | GPL-3.0 | Apache-2.0 |
| Categories | AI Agents, Speech & Audio | AI Agents |

## Trust and health

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

| | [kalliope](/tools/kalliope-project-kalliope.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 1124d | 2d |
| Open issues (now) | 27 | 128 |
| Full report | [trust report](/tools/kalliope-project-kalliope/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) |

## Decision facts: kalliope

- **Adopt for:** Kalliope is an open-source Python framework designed for the development of customizable personal assistants, featuring robust speech recognition and synthesis capabilities.

## 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 kalliope if…

- License: kalliope is GPL-3.0, agent-kernel is Apache-2.0.
- Tags unique to kalliope: bot-creation, personal-assistant, speech-recognition, speech-synthesis.
- Also covers Speech & Audio.
- If you need to create a personal assistant with speech interaction capabilities on a Linux environment, especially using Raspberry Pi platforms.

### Choose agent-kernel if…

- License: agent-kernel is Apache-2.0, kalliope is GPL-3.0.
- 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 kalliope

- In case proprietary or permissive licensing is required as Kalliope operates under GNU General Public License v3.0.
- For projects lacking a Linux environment, particularly if hardware such as Raspberry Pi is not preferred or suitable for your needs.

## 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 kalliope and agent-kernel?

kalliope: A framework for creating personal assistants. 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 kalliope over agent-kernel?

Choose kalliope over agent-kernel when License: kalliope is GPL-3.0, agent-kernel is Apache-2.0; Tags unique to kalliope: bot-creation, personal-assistant, speech-recognition, speech-synthesis; Also covers Speech & Audio; If you need to create a personal assistant with speech interaction capabilities on a Linux environment, especially using Raspberry Pi platforms.

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

Choose agent-kernel over kalliope when License: agent-kernel is Apache-2.0, kalliope is GPL-3.0; 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 kalliope?

In case proprietary or permissive licensing is required as Kalliope operates under GNU General Public License v3.0. For projects lacking a Linux environment, particularly if hardware such as Raspberry Pi is not preferred or suitable for your needs.

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

kalliope has more GitHub stars (1,768 vs 113). Stars measure visibility, not whether either tool fits your constraints.

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

Yes - both are open-source projects on GitHub (kalliope: GPL-3.0, agent-kernel: Apache-2.0).

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

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

kalliope: Dormant. 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 kalliope and agent-kernel?

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

---

**Machine-readable endpoints**

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