Direct SDKs (no framework) vs Microsoft Agent Framework
Both are free/open-source alternatives to LangChain. Here's how they stack up — verified facts, no spin.
Direct SDKs (no framework)
TOP PICKThe 2026 consensus: official SDKs + a few hundred lines you own.
The strongest LangChain alternative today is often no framework at all. Modern models ship native tool calling, structured outputs, and long context — the very things LangChain was built to scaffold — so the official Anthropic/OpenAI/Mistral SDKs (MIT/Apache-licensed) plus a small amount of your own orchestration code covers most real applications. You keep full debuggability (a stack trace is your code, not five layers of framework), zero dependency churn, and total freedom to swap providers. Engineering write-ups since 2024 keep landing on the same conclusion: start direct, add a framework only when a specific need demands it — not the other way around.
Microsoft Agent Framework
Semantic Kernel + AutoGen, unified — the enterprise agent stack.
Microsoft's Agent Framework 1.0 (April 2026) merged Semantic Kernel's enterprise foundations with AutoGen's multi-agent orchestration into one MIT-licensed SDK for .NET and Python — session state, type safety, middleware, telemetry, and graph-based workflows out of the box. It's the natural LangChain alternative for enterprise teams (especially .NET shops and Azure environments) that want long-term-supported APIs and a vendor standing behind the framework.
Side by side
| Direct SDKs (no framework) | Microsoft Agent Framework | |
|---|---|---|
| Sovereignty Score | 93 | 80 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | Yes | No |
| License | Your code (official SDKs: MIT / Apache-2.0) | MIT |
| Pricing | Free — you pay only your model provider; no framework tier, no per-seat tooling | Free (MIT); integrates naturally (but not exclusively) with Azure services |
Direct SDKs (no framework) is Macrostack's recommended LangChain alternative, so it's our pick here.
Direct SDKs (no framework)
Strengths
- +Every line is yours: debugging is a stack trace, not archaeology
- +No abstraction churn or breaking framework releases
- +Trivially swaps model providers; pairs cleanly with MCP for tools
- +Less code than the equivalent chain in many real apps
Trade-offs
- −You write your own retries, streaming, and evaluation plumbing
- −Big multi-agent orchestration is where hand-rolling gets costly
Microsoft Agent Framework
Strengths
- +Enterprise plumbing included: sessions, telemetry, middleware
- +First-class .NET as well as Python
- +Stable 1.0 APIs with Microsoft LTS backing
Trade-offs
- −Microsoft-governed direction; strong Azure gravity
- −Heavier than needed for small apps
More LangChain head-to-heads
Facts verified 2026-07-16. Licenses and pricing change — spotted something out of date? That's a correction we want.