--- title: "PraisonAI vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mervinpraison-praisonai-vs-yaalalabs-agent-kernel" tools: ["mervinpraison-praisonai", "yaalalabs-agent-kernel"] --- # PraisonAI vs agent-kernel *GraphCanon updated Sep 27, 2026* ## Verdict Pick PraisonAI if praisonAI is a framework for deploying autonomous AI agents that can research, plan, and execute tasks, supporting over 100 LLMs and including built-in memory and RAG; 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. [PraisonAI](https://praison.ai/docs) reports 9.1k GitHub stars, 1.4k forks, and 75 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 [PraisonAI's repository](https://github.com/MervinPraison/PraisonAI) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [PraisonAI](/tools/mervinpraison-praisonai.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | Hire a 24/7 AI Workforce | The Operating System for Scalable Enterprise AI Agents | | Stars | 9,069 | 188 | | Forks | 1,447 | 86 | | Open issues | 75 | 137 | | Language | Python | Python | | Adopt for | PraisonAI is a framework for deploying autonomous AI agents that can research, plan, and execute tasks, supporting over 100 LLMs and including built-in memory and RAG. | 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 | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [PraisonAI](/tools/mervinpraison-praisonai.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 75 | 137 | | Stars delta | +529 (30d) | +75 (30d) | | Open issues delta | +25 (30d) | +9 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/mervinpraison-praisonai/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Shared compatibility - **Python**: [PraisonAI](/tools/mervinpraison-praisonai.md) - Python runtime; [agent-kernel](/tools/yaalalabs-agent-kernel.md) - Python runtime ## Decision facts: PraisonAI - **Adopt for:** PraisonAI is a framework for deploying autonomous AI agents that can research, plan, and execute tasks, supporting over 100 LLMs and including built-in memory and RAG. ## 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 PraisonAI if… - License: PraisonAI is MIT, agent-kernel is Apache-2.0. - Tags unique to PraisonAI: agents, ai, ai-agent-framework, ai-agents. - When you need a framework that supports over 100 LLMs and includes built-in memory and RAG for deploying autonomous AI agents. ### Choose agent-kernel if… - License: agent-kernel is Apache-2.0, PraisonAI is MIT. - 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 PraisonAI - If your project requires a more lightweight solution, as PraisonAI includes built-in memory and RAG which might add unnecessary complexity. - When you need a tool that focuses solely on a specific type of AI agent, as PraisonAI is a general-purpose framework that supports a wide range of LLMs. ## 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 PraisonAI and agent-kernel? PraisonAI: Hire a 24/7 AI Workforce. 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 PraisonAI over agent-kernel? Choose PraisonAI over agent-kernel when License: PraisonAI is MIT, agent-kernel is Apache-2.0; Tags unique to PraisonAI: agents, ai, ai-agent-framework, ai-agents; When you need a framework that supports over 100 LLMs and includes built-in memory and RAG for deploying autonomous AI agents. ### When should I choose agent-kernel over PraisonAI? Choose agent-kernel over PraisonAI when License: agent-kernel is Apache-2.0, PraisonAI is MIT; 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 PraisonAI? If your project requires a more lightweight solution, as PraisonAI includes built-in memory and RAG which might add unnecessary complexity. When you need a tool that focuses solely on a specific type of AI agent, as PraisonAI is a general-purpose framework that supports a wide range of LLMs. ### 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 PraisonAI or agent-kernel more popular on GitHub? PraisonAI has more GitHub stars (9,069 vs 188). Stars measure visibility, not whether either tool fits your constraints. ### Are PraisonAI and agent-kernel open source? Yes - both are open-source projects on GitHub (PraisonAI: MIT, agent-kernel: Apache-2.0). ### Where can I find alternatives to PraisonAI or agent-kernel? GraphCanon lists graph-backed alternatives at [PraisonAI alternatives](/tools/mervinpraison-praisonai/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([PraisonAI markdown twin](/tools/mervinpraison-praisonai/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/mervinpraison-praisonai-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, PraisonAI or agent-kernel? PraisonAI: 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 PraisonAI and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [PraisonAI trust report](/tools/mervinpraison-praisonai/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mervinpraison-praisonai`](/api/graphcanon/graph?tool=mervinpraison-praisonai) - 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/_