--- title: "core vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cheshire-cat-ai-core-vs-yaalalabs-agent-kernel" tools: ["cheshire-cat-ai-core", "yaalalabs-agent-kernel"] --- # core vs agent-kernel *GraphCanon updated Aug 15, 2026* ## Verdict Pick core if core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol; 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. [core](https://cheshirecat.ai) reports 3.1k GitHub stars, 409 forks, and 8 open issues, last pushed Jul 29, 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 [core's repository](https://github.com/cheshire-cat-ai/core) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [core](/tools/cheshire-cat-ai-core.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | AI agent microservice | The Operating System for Scalable Enterprise AI Agents | | Stars | 3,081 | 113 | | Forks | 409 | 60 | | Open issues | 8 | 128 | | Language | Python | Python | | Adopt for | core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol. | 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 licenses the code base of the core repository. | Apache-2.0 | | Categories | AI Agents, Vector Databases | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [core](/tools/cheshire-cat-ai-core.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 16d | 2d | | Open issues (now) | 8 | 128 | | Stars delta | +7 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Full report | [trust report](/tools/cheshire-cat-ai-core/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Decision facts: core - **Hosting:** self hosted - core can be self-hosted. - **Requirements:** Requires Python support due to being Python-based. - **Adopt for:** core is a Python-based AI microservice tool for building chatbots and integrating vector search. It supports conversational interfaces through the ag-ui-protocol. - **License detail:** GPL-3.0 licenses the code base of the core repository. ## 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 core if… - License: core is GPL-3.0, agent-kernel is Apache-2.0. - core can be self-hosted. - Requirements: Requires Python support due to being Python-based.. - Tags unique to core: ag-ui-protocol, agent, ai, assistant. - Also covers Vector Databases. - For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement ### Choose agent-kernel if… - License: agent-kernel is Apache-2.0, core 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 core - If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios - In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language ## 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 core and agent-kernel? core: AI agent microservice. 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 core over agent-kernel? Choose core over agent-kernel when License: core is GPL-3.0, agent-kernel is Apache-2.0; core can be self-hosted; Requirements: Requires Python support due to being Python-based.; Tags unique to core: ag-ui-protocol, agent, ai, assistant; Also covers Vector Databases; For projects that require an open-source solution under GPL-3.0, because core's licensing aligns with this requirement. ### When should I choose agent-kernel over core? Choose agent-kernel over core when License: agent-kernel is Apache-2.0, core 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 core? If your project needs proprietary license terms, since core restricts use by GPL-3.0 which might not fit all commercial scenarios In cases where you require a non-Python environment, as the tool may require significant custom code to adapt to another language ### 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 core or agent-kernel more popular on GitHub? core has more GitHub stars (3,081 vs 113). Stars measure visibility, not whether either tool fits your constraints. ### Are core and agent-kernel open source? Yes - both are open-source projects on GitHub (core: GPL-3.0, agent-kernel: Apache-2.0). ### Where can I find alternatives to core or agent-kernel? GraphCanon lists graph-backed alternatives at [core alternatives](/tools/cheshire-cat-ai-core/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([core markdown twin](/tools/cheshire-cat-ai-core/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/cheshire-cat-ai-core-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, core or agent-kernel? core: 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 core and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [core trust report](/tools/cheshire-cat-ai-core/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cheshire-cat-ai-core`](/api/graphcanon/graph?tool=cheshire-cat-ai-core) - 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/_