--- title: "openakita vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openakita-openakita-vs-yaalalabs-agent-kernel" tools: ["openakita-openakita", "yaalalabs-agent-kernel"] --- # openakita vs agent-kernel *GraphCanon updated Sep 20, 2026* ## Verdict Pick openakita if decision-relevant data on OpenAkita; 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. [openakita](http://openakita.ai) reports 2.0k GitHub stars, 277 forks, and 42 open issues, last pushed Sep 18, 2026. [agent-kernel](https://kernel.yaala.ai/) has 188 stars, 86 forks, and 137 open issues, last pushed Sep 11, 2026. Figures are from public GitHub metadata via [openakita's repository](https://github.com/openakita/openakita) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [openakita](/tools/openakita-openakita.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | An open-source AI assistant framework with skills and agent architecture | The Operating System for Scalable Enterprise AI Agents | | Stars | 1,986 | 188 | | Forks | 277 | 86 | | Open issues | 42 | 137 | | Language | Python | Python | | Adopt for | Decision-relevant data on OpenAkita | 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 | AGPL-3.0 | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openakita](/tools/openakita-openakita.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Open issues (now) | 42 | 137 | | Stars delta | +31 (30d) | +75 (30d) | | Open issues delta | +1 (30d) | +9 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/openakita-openakita/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Shared compatibility - **Python**: [openakita](/tools/openakita-openakita.md) - Python runtime; [agent-kernel](/tools/yaalalabs-agent-kernel.md) - Python runtime ## Decision facts: openakita - **Adopt for:** Decision-relevant data on OpenAkita ## 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 openakita if… - License: openakita is AGPL-3.0, agent-kernel is Apache-2.0. - Tags unique to openakita: agent, ai, assistant, automation. - openakita ships Docker support for self-hosted deployment. - For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks ### Choose agent-kernel if… - License: agent-kernel is Apache-2.0, openakita is AGPL-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 openakita - Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly - Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ## 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 openakita and agent-kernel? openakita: An open-source AI assistant framework with skills and agent architecture. 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 openakita over agent-kernel? Choose openakita over agent-kernel when License: openakita is AGPL-3.0, agent-kernel is Apache-2.0; Tags unique to openakita: agent, ai, assistant, automation; openakita ships Docker support for self-hosted deployment; For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks. ### When should I choose agent-kernel over openakita? Choose agent-kernel over openakita when License: agent-kernel is Apache-2.0, openakita is AGPL-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 openakita? Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ### 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 openakita or agent-kernel more popular on GitHub? openakita has more GitHub stars (1,986 vs 188). Stars measure visibility, not whether either tool fits your constraints. ### Are openakita and agent-kernel open source? Yes - both are open-source projects on GitHub (openakita: AGPL-3.0, agent-kernel: Apache-2.0). ### Where can I find alternatives to openakita or agent-kernel? GraphCanon lists graph-backed alternatives at [openakita alternatives](/tools/openakita-openakita/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([openakita markdown twin](/tools/openakita-openakita/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/openakita-openakita-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, openakita or agent-kernel? openakita: 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 openakita and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openakita trust report](/tools/openakita-openakita/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openakita-openakita`](/api/graphcanon/graph?tool=openakita-openakita) - 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/_