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CopilotKit vs Microsoft Agent Framework

Bottom line

CopilotKit has a free plan plus paid upgrades, while Microsoft Agent Framework is free.

Which one should you try?

CopilotKit

Freemium

Best for React and Angular developers building in-app AI features

Microsoft Agent Framework

Free

Best for Teams building production multi-agent systems with enterprise governance requirements

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

CopilotKit

CopilotKit

The core model is a React and Angular SDK that connects your existing frontend to whatever agent backend you're already running — LangChain, CrewAI, or a custom setup — via the AG-UI protocol, a bi-directional event stream the vendor describes as 'the general-purpose connection between a user-facing application and any agentic backend.' Agents render rich UI cards, forms, and widgets inline as they work, not just text responses. Thread and state persistence is handled automatically across sessions. The friction point arrives when your deployment target isn't a web surface: Slack and Teams connections are flagged as early access, which means you're betting on a roadmap, not a shipping feature. Teams with strict approval gates before agent actions can wire those checkpoints in, but the docs describe this as a configuration responsibility rather than a built-in guardrail system.

Microsoft Agent Framework

Microsoft Agent Framework

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

AttributeCopilotKitMicrosoft Agent Framework
PricingFreemiumFree
Price$39/developer/month—
Pricing checkedJun 11, 2026Not checked yet
Free trialNot statedNot stated
Open sourceYesYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsReact, Angular, Mobile, Slack, and TeamsPython, .NET (1.0 stable); Go (public preview)
Languages—Python, C# (.NET)
Released20232025-10
Pros
  • Agent-rendered interactive UI components inside your existing app, so users can act on agent outputs directly rather than copying text into separate workflows.
  • AG-UI protocol creates a bi-directional connection between your frontend and any agent backend, which means swapping LangChain for CrewAI — or adding a second framework — doesn't require rebuilding the UI integration layer.
  • Automatic thread and state persistence across sessions, so users don't lose context when they close and reopen the app — a failure mode that breaks trust fast in production copilot features.
  • MIT-licensed core with a self-hosted option, so teams with data residency or air-gap requirements can deploy without routing traffic through vendor infrastructure.
  • First-party integrations with LangChain, CrewAI, and other established agent frameworks, which means you wire CopilotKit into an agent stack you already trust rather than migrating to a proprietary runtime.
  • Unifies the enterprise-ready foundations of Semantic Kernel with the innovative orchestration of AutoGen
  • Full framework support for both Python and C#/.NET implementations with consistent APIs and built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
  • Open standards & interoperability — MCP, A2A, and OpenAPI ensure agents are portable and vendor-neutral
  • Supports integration with any API via OpenAPI, collaboration across runtimes with Agent2Agent (A2A), and dynamic tool connections using MCP
  • Enterprise readiness — built-in observability, approvals, security, and long-running durability
Cons
  • Slack and Teams deployment surfaces are flagged as early access on the vendor page — if your product requires agents embedded in those platforms as a shipping feature, you are taking on roadmap risk, and teams with a hard Slack-first requirement will reach for a dedicated bot framework instead.
  • The Enterprise Intelligence Platform features are paid-only with limited public documentation on what they cover, so you discover the billing boundary during scoping rather than before it — teams building toward production without a clear feature inventory hit this when they need capabilities that aren't in the MIT core.
  • The framework is front-end SDK-first, which means backend agent logic, guardrails, and approval flows are your responsibility to wire — teams that need a managed agent runtime with built-in policy controls will find CopilotKit solves the UI layer but leaves the safety layer to them, and will likely add a separate orchestration service alongside it.
  • Public preview released October 1, 2025, with AutoGen and Semantic Kernel entering maintenance mode
  • Requires understanding of agentic AI concepts and orchestration patterns
  • Dependent on external model providers for LLM capabilities

Made up your mind?

CopilotKit

Freemium

Best for React and Angular developers building in-app AI features

Microsoft Agent Framework

Free

Best for Teams building production multi-agent systems with enterprise governance requirements

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.