Semantic Kernel
Build multi-agent apps with a model-agnostic SDK
Semantic Kernel is an open-source SDK for developers building AI agents and multi-agent workflows. It supports tool use, planning, memory, plugins, and local or cloud model backends.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
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What's happened with Semantic Kernel lately
- Score changeRubric upgrade v3_0 → v3.1: score 10/32 → 12/3610 → 12/36(+2)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.
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About
Semantic Kernel is an open-source SDK and orchestration framework for developers who want to build AI agents and multi-agent systems into their applications. According to the repository, it is positioned as an enterprise-ready way to integrate LLMs...
Semantic Kernel is strongest as a developer framework, not as a finished end-user agent product. It gives you building blocks for agents, plugins, workflows, memory, and multi-agent coordination, but the actual behavior and safety controls depend on...
Proposes and executes multi-step plans with your approval.
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