DeepYard

agentdev vs Kernl

Side-by-side comparison built from DeepYard's structured catalog. Content updated Jun 29, 2026.

Direct Answer

agentdev suits teams needing open-source access, observability focus, and no listed GitHub stars in current listing data. Kernl suits teams needing open-source access, coding agent focus, and no listed GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
a

agentdev

Lightweight AI agent framework with built-in debugger for OpenAI, Anthropic & MCP

OSSFree
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K

Kernl

Modern AI agent framework with native Model Context Protocol integration

OSSFree
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MetricagentdevKernl
GitHub Stars——
Contributors——
Last Commit——
Open Issues——
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose agentdev if you need

  • • agentdev is the cleaner fit if you specifically need Observability workflows from the catalog tags.

Choose Kernl if you need

  • • Kernl is the cleaner fit if you specifically need Coding Agent workflows from the catalog tags.

Meaningful differences

    Shared capabilities

    • • Framework
    • • Open Source
    • • Mcp
    • • Typescript
    • • Tool Use

    Shared Tags

    frameworkopen-sourcemcptypescripttool-use

    Only in agentdev

    observabilitycli

    Only in Kernl

    coding-agent

    Limitations and evidence

    • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
    • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
    • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

    Source links

    Manifest content date: 2026-06-29

    About agentdev

    Developer-focused framework for building AI agents with integrated debugging tools. Supports OpenAI and Anthropic models with native MCP protocol integration. Features a decoupled architecture that prioritizes developer experience, making it easier to debug and test agent behavior during development. Ideal for developers who want a lightweight alternative to heavier frameworks.

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    About Kernl

    Kernl is an open-source framework providing standardized primitives for building AI agents with first-class MCP support. Designed for developers who want a modern, protocol-first approach to agent development, it simplifies connecting agents to tools and contexts through the Model Context Protocol. Available as an npm package for TypeScript/JavaScript projects.

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