--- title: "contexto vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ekailabs-contexto-vs-yaalalabs-agent-kernel" tools: ["ekailabs-contexto", "yaalalabs-agent-kernel"] --- # contexto vs agent-kernel *GraphCanon updated Sep 27, 2026* ## Verdict Pick contexto if contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options; 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. [contexto](https://www.getcontexto.com) reports 620 GitHub stars, 22 forks, and 21 open issues, last pushed Jun 10, 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 [contexto's repository](https://github.com/ekailabs/contexto) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [contexto](/tools/ekailabs-contexto.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | Context Engine for long-running AI agents | The Operating System for Scalable Enterprise AI Agents | | Stars | 620 | 188 | | Forks | 22 | 86 | | Open issues | 21 | 137 | | Language | TypeScript | Python | | Adopt for | Contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options. | 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, Data & Retrieval | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [contexto](/tools/ekailabs-contexto.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 100d | 1d | | Open issues (now) | 21 | 137 | | Stars delta | -7 (30d) | +75 (30d) | | Open issues delta | 0 (30d) | +9 (30d) | | Full report | [trust report](/tools/ekailabs-contexto/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Decision facts: contexto - **Hosting:** managed - Managed hosting is available, eliminating the need to run retrieval infrastructure yourself. - **Requirements:** Built specifically for OpenClaw and Hermes. - **Adopt for:** Contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options. - **License detail:** Apache-2.0 ## 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 contexto if… - contexto is primarily TypeScript; agent-kernel is Python. - Managed hosting is available, eliminating the need to run retrieval infrastructure yourself. - Requirements: Built specifically for OpenClaw and Hermes.. - Tags unique to contexto: apache 2.0, context-engine, hermes, long-running agents. - Also covers Data & Retrieval. - contexto ships Docker support for self-hosted deployment. - When you are developing long-running AI agents that require reliable context management. ### Choose agent-kernel if… - agent-kernel is primarily Python; contexto is TypeScript. - 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 contexto - If your AI agent does not require long-term context management or operates in short sessions. - When you are not using OpenClaw or Hermes and prefer a context engine that supports a wider range of frameworks. - If you need full control over your retrieval infrastructure and prefer not to use managed hosting services. ## 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 contexto and agent-kernel? contexto: Context Engine for long-running AI 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 contexto over agent-kernel? Choose contexto over agent-kernel when contexto is primarily TypeScript; agent-kernel is Python; Managed hosting is available, eliminating the need to run retrieval infrastructure yourself; Requirements: Built specifically for OpenClaw and Hermes.; Tags unique to contexto: apache 2.0, context-engine, hermes, long-running agents; Also covers Data & Retrieval; contexto ships Docker support for self-hosted deployment; When you are developing long-running AI agents that require reliable context management. ### When should I choose agent-kernel over contexto? Choose agent-kernel over contexto when agent-kernel is primarily Python; contexto is TypeScript; 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 contexto? If your AI agent does not require long-term context management or operates in short sessions. When you are not using OpenClaw or Hermes and prefer a context engine that supports a wider range of frameworks. If you need full control over your retrieval infrastructure and prefer not to use managed hosting services. ### 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 contexto or agent-kernel more popular on GitHub? contexto has more GitHub stars (620 vs 188). Stars measure visibility, not whether either tool fits your constraints. ### Are contexto and agent-kernel open source? Yes - both are open-source projects on GitHub (contexto: Apache-2.0, agent-kernel: Apache-2.0). ### Where can I find alternatives to contexto or agent-kernel? GraphCanon lists graph-backed alternatives at [contexto alternatives](/tools/ekailabs-contexto/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([contexto markdown twin](/tools/ekailabs-contexto/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/ekailabs-contexto-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, contexto or agent-kernel? contexto: Slowing. 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 contexto and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [contexto trust report](/tools/ekailabs-contexto/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ekailabs-contexto`](/api/graphcanon/graph?tool=ekailabs-contexto) - 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/_