DeepYard

Kernl vs Lakitu

Side-by-side comparison built from DeepYard's structured catalog. Content updated Jun 12, 2026.

Direct Answer

Kernl suits teams needing open-source access, mcp focus, and no listed GitHub stars in current listing data. Lakitu suits teams needing open-source access, self hosted 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
K

Kernl

Modern TypeScript framework for production-grade AI agents with native MCP support

OSSFree
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L

Lakitu

Self-hosted AI agent framework combining Convex real-time sync with E2B sandboxed execution

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

Choose Kernl if you need

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

Choose Lakitu if you need

  • • Lakitu is the cleaner fit if you specifically need Self Hosted workflows from the catalog tags.

Meaningful differences

    Shared capabilities

    • • Framework
    • • Typescript
    • • Open Source
    • • Coding Agent
    • • Tool Use

    Shared Tags

    frameworktypescriptopen-sourcecoding-agenttool-useautonomous

    Only in Kernl

    mcp

    Only in Lakitu

    self-hosted

    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: 2026-06-12

    About Kernl

    Kernl is an open-source AI agent framework built for TypeScript developers who need production-ready agent applications. Features native Model Context Protocol (MCP) integration for seamless tool connectivity, modular architecture for extensibility, and type-safe development patterns. Ideal for teams building robust, maintainable agent systems with modern JavaScript tooling.

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    About Lakitu

    Lakitu is an open-source framework for building AI agents that seamlessly integrates Convex's real-time data synchronization with E2B's sandboxed code execution environments. Designed for developers who need secure, self-hosted agent infrastructure with live data updates. Ideal for applications requiring both reactive data flows and safe code execution, such as AI coding assistants or automated DevOps agents.

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