--- title: "manifest vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mnfst-manifest-vs-yaalalabs-agent-kernel" tools: ["mnfst-manifest", "yaalalabs-agent-kernel"] --- # manifest vs agent-kernel *GraphCanon updated Sep 20, 2026* ## Verdict Pick manifest if manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking; 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. [manifest](https://manifest.build) reports 7.5k GitHub stars, 508 forks, and 110 open issues, last pushed Sep 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 [manifest's repository](https://github.com/mnfst/manifest) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [manifest](/tools/mnfst-manifest.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | Connect Your Agents And Harnesses With Any Provider | The Operating System for Scalable Enterprise AI Agents | | Stars | 7,514 | 188 | | Forks | 508 | 86 | | Open issues | 110 | 137 | | Language | TypeScript | Python | | Adopt for | Manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking. | 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, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [manifest](/tools/mnfst-manifest.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 110 | 137 | | Stars delta | +100 (30d) | +75 (30d) | | Open issues delta | +1 (30d) | +9 (30d) | | Full report | [trust report](/tools/mnfst-manifest/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Decision facts: manifest - **Adopt for:** Manifest is a TypeScript framework under MIT license that enables integration of AI agents across various providers, with an emphasis on observability and tracking mechanisms such as token and cost-tracking. ## 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 manifest if… - manifest is primarily TypeScript; agent-kernel is Python. - License: manifest is MIT, agent-kernel is Apache-2.0. - Tags unique to manifest: ai-agents, llm-observability. - Also covers Evaluation & Observability. - When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems. ### Choose agent-kernel if… - agent-kernel is primarily Python; manifest is TypeScript. - License: agent-kernel is Apache-2.0, manifest 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 manifest - If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work. - When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features. ## 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 manifest and agent-kernel? manifest: Connect Your Agents And Harnesses With Any Provider. 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 manifest over agent-kernel? Choose manifest over agent-kernel when manifest is primarily TypeScript; agent-kernel is Python; License: manifest is MIT, agent-kernel is Apache-2.0; Tags unique to manifest: ai-agents, llm-observability; Also covers Evaluation & Observability; When you need to establish connections between multiple AI providers without altering the core functionality or architecture of your existing systems. ### When should I choose agent-kernel over manifest? Choose agent-kernel over manifest when agent-kernel is primarily Python; manifest is TypeScript; License: agent-kernel is Apache-2.0, manifest 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 manifest? If your project strictly requires use cases with non-TypeScript languages, as this would necessitate additional integration work. When you require a mature framework; given Manifest's beta status, it might not be the best choice for production environments sensitive to potential bugs or incomplete features. ### 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 manifest or agent-kernel more popular on GitHub? manifest has more GitHub stars (7,514 vs 188). Stars measure visibility, not whether either tool fits your constraints. ### Are manifest and agent-kernel open source? Yes - both are open-source projects on GitHub (manifest: MIT, agent-kernel: Apache-2.0). ### Where can I find alternatives to manifest or agent-kernel? GraphCanon lists graph-backed alternatives at [manifest alternatives](/tools/mnfst-manifest/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([manifest markdown twin](/tools/mnfst-manifest/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/mnfst-manifest-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, manifest or agent-kernel? manifest: 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 manifest and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [manifest trust report](/tools/mnfst-manifest/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mnfst-manifest`](/api/graphcanon/graph?tool=mnfst-manifest) - 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/_