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Microsoft Agent Framework vs OpenFang

Microsoft Agent Framework and OpenFang are both agent frameworks tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

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.

OpenFang

OpenFang

An open-source Agent Operating System built from scratch in Rust, designed to run autonomous agents on schedules.

AttributeMicrosoft Agent FrameworkOpenFang
PricingFreeFree
Free trialNoNo
Open sourceNoNo
Has APIYesYes
Self-hosted optionYesYes
PlatformsPython and .NET with consistent APIs. Available for both .NET and PythonmacOS, Linux, and Windows
LanguagesPython, C# (.NET)Built with Rust
Released2025-102026-02
Pros
  • 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
  • Compiles to a single ~32MB binary with no external dependencies
  • Seven autonomous Hands and 16 security layers included
  • 40 messaging channel adapters provide the broadest platform coverage
  • 15-crate modular Rust workspace enables extensibility and maintenance
  • Comprehensive security including WASM dual-metered sandbox, Ed25519 signing, Merkle audit trail, and taint tracking
Cons
  • 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
  • Feature complete but pre-1.0 status means rough edges and breaking changes between minor versions
  • Not all Hands are equally mature; Browser and Researcher are most battle-tested
  • Target for rock-solid v1.0 is mid-2026, indicating ongoing volatility expected
Bottom line

Microsoft Agent Framework and OpenFang are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.