--- title: "jarvis-registry vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ascending-llc-jarvis-registry-vs-yaalalabs-agent-kernel" tools: ["ascending-llc-jarvis-registry", "yaalalabs-agent-kernel"] --- # jarvis-registry vs agent-kernel *GraphCanon updated Sep 20, 2026* ## Verdict Pick jarvis-registry if jarvis-registry: Secure MCP/Agent gateway for AI agent integration with enterprise tools via built-in identity, access control, and full observability; 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. [jarvis-registry](https://jarvisregistry.com) reports 3.0k GitHub stars, 441 forks, and 0 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 [jarvis-registry's repository](https://github.com/ascending-llc/jarvis-registry) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [jarvis-registry](/tools/ascending-llc-jarvis-registry.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | Connect AI agents to enterprise tools through a secure gateway with identity and access control. | The Operating System for Scalable Enterprise AI Agents | | Stars | 2,985 | 188 | | Forks | 441 | 86 | | Open issues | 0 | 137 | | Language | Python | Python | | Adopt for | jarvis-registry: Secure MCP/Agent gateway for AI agent integration with enterprise tools via built-in identity, access control, and full observability. | 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 | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jarvis-registry](/tools/ascending-llc-jarvis-registry.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 0 | 137 | | Stars delta | +179 (30d) | +75 (30d) | | Open issues delta | -4 (30d) | +9 (30d) | | Full report | [trust report](/tools/ascending-llc-jarvis-registry/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Decision facts: jarvis-registry - **Adopt for:** jarvis-registry: Secure MCP/Agent gateway for AI agent integration with enterprise tools via built-in identity, access control, and full observability. ## 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 jarvis-registry if… - Tags unique to jarvis-registry: agent-gateway, agent-orchestration, aws-eks, cloud-native-deployment. - Also covers Evaluation & Observability. - jarvis-registry ships Docker support for self-hosted deployment. - When needing secure integration of AI agents into various enterprise applications ### Choose agent-kernel if… - 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 jarvis-registry - If no cloud service deployment is available or intended - When a more customizable self-hosted option without predefined identity or access control structures suffices - In scenarios where integrated observability features are not needed or preferred separately ## 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 jarvis-registry and agent-kernel? jarvis-registry: Connect AI agents to enterprise tools through a secure gateway with identity and access control.. 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 jarvis-registry over agent-kernel? Choose jarvis-registry over agent-kernel when Tags unique to jarvis-registry: agent-gateway, agent-orchestration, aws-eks, cloud-native-deployment; Also covers Evaluation & Observability; jarvis-registry ships Docker support for self-hosted deployment; When needing secure integration of AI agents into various enterprise applications. ### When should I choose agent-kernel over jarvis-registry? Choose agent-kernel over jarvis-registry when 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 jarvis-registry? If no cloud service deployment is available or intended When a more customizable self-hosted option without predefined identity or access control structures suffices In scenarios where integrated observability features are not needed or preferred separately ### 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 jarvis-registry or agent-kernel more popular on GitHub? jarvis-registry has more GitHub stars (2,985 vs 188). Stars measure visibility, not whether either tool fits your constraints. ### Are jarvis-registry and agent-kernel open source? Yes - both are open-source projects on GitHub (jarvis-registry: Apache-2.0, agent-kernel: Apache-2.0). ### Where can I find alternatives to jarvis-registry or agent-kernel? GraphCanon lists graph-backed alternatives at [jarvis-registry alternatives](/tools/ascending-llc-jarvis-registry/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([jarvis-registry markdown twin](/tools/ascending-llc-jarvis-registry/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/ascending-llc-jarvis-registry-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, jarvis-registry or agent-kernel? jarvis-registry: 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 jarvis-registry and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jarvis-registry trust report](/tools/ascending-llc-jarvis-registry/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ascending-llc-jarvis-registry`](/api/graphcanon/graph?tool=ascending-llc-jarvis-registry) - 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/_