--- title: "awesome-ai-agents vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/e2b-dev-awesome-ai-agents-vs-yaalalabs-agent-kernel" tools: ["e2b-dev-awesome-ai-agents", "yaalalabs-agent-kernel"] --- # awesome-ai-agents vs agent-kernel *GraphCanon updated Aug 19, 2026* ## Verdict Pick awesome-ai-agents if provides a curated list of AI autonomous agents, both open and closed-source; 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. [awesome-ai-agents](https://e2b.dev/docs) reports 30k GitHub stars, 3.3k forks, and 933 open issues, last pushed Jul 9, 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 [awesome-ai-agents's repository](https://github.com/e2b-dev/awesome-ai-agents) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [awesome-ai-agents](/tools/e2b-dev-awesome-ai-agents.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | A list of AI autonomous agents | The Operating System for Scalable Enterprise AI Agents | | Stars | 29,538 | 113 | | Forks | 3,335 | 60 | | Open issues | 933 | 128 | | Language | - | Python | | Adopt for | Provides a curated list of AI autonomous agents, both open and closed-source. | 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._ | | [awesome-ai-agents](/tools/e2b-dev-awesome-ai-agents.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 40d | 2d | | Open issues (now) | 933 | 128 | | Stars delta | +638 (30d) | Unknown | | Open issues delta | +73 (30d) | Unknown | | Full report | [trust report](/tools/e2b-dev-awesome-ai-agents/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Decision facts: awesome-ai-agents - **Requirements:** While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list. - **Adopt for:** Provides a curated list of AI autonomous agents, both open and closed-source. ## 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 awesome-ai-agents if… - License: awesome-ai-agents is Other, agent-kernel is Apache-2.0. - Requirements: While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list.. - Tags unique to awesome-ai-agents: agent, ai, artificial-intelligence, autogpt. - When you need to curate or explore a variety of AI agent projects. 'awesome-ai-agents' offers both open source and closed-source AI agent initiatives for easy navigation. ### Choose agent-kernel if… - License: agent-kernel is Apache-2.0, awesome-ai-agents 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 awesome-ai-agents - When you require real-time collaboration or updates on AI agents; 'awesome-ai-agents' might not have the most updated information in real time. - If you specifically need a comprehensive, detailed guide for each tool. The repository provides lists but may lack in-depth explanations suitable for those unfamiliar with AI agent systems. ## 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 awesome-ai-agents and agent-kernel? awesome-ai-agents: A list of AI autonomous agents. 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 awesome-ai-agents over agent-kernel? Choose awesome-ai-agents over agent-kernel when License: awesome-ai-agents is Other, agent-kernel is Apache-2.0; Requirements: While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list.; Tags unique to awesome-ai-agents: agent, ai, artificial-intelligence, autogpt; When you need to curate or explore a variety of AI agent projects. 'awesome-ai-agents' offers both open source and closed-source AI agent initiatives for easy navigation. ### When should I choose agent-kernel over awesome-ai-agents? Choose agent-kernel over awesome-ai-agents when License: agent-kernel is Apache-2.0, awesome-ai-agents 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 awesome-ai-agents? When you require real-time collaboration or updates on AI agents; 'awesome-ai-agents' might not have the most updated information in real time. If you specifically need a comprehensive, detailed guide for each tool. The repository provides lists but may lack in-depth explanations suitable for those unfamiliar with AI agent systems. ### 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 awesome-ai-agents or agent-kernel more popular on GitHub? awesome-ai-agents has more GitHub stars (29,538 vs 113). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-agents and agent-kernel open source? Yes - both are open-source projects on GitHub (awesome-ai-agents: Other, agent-kernel: Apache-2.0). ### Where can I find alternatives to awesome-ai-agents or agent-kernel? GraphCanon lists graph-backed alternatives at [awesome-ai-agents alternatives](/tools/e2b-dev-awesome-ai-agents/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([awesome-ai-agents markdown twin](/tools/e2b-dev-awesome-ai-agents/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/e2b-dev-awesome-ai-agents-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, awesome-ai-agents or agent-kernel? awesome-ai-agents: Steady. 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 awesome-ai-agents and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-agents trust report](/tools/e2b-dev-awesome-ai-agents/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=e2b-dev-awesome-ai-agents`](/api/graphcanon/graph?tool=e2b-dev-awesome-ai-agents) - 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/_