Direct SDKs (no framework) vs Microsoft Agent Framework
Both are alternatives to LangChain. Here's how they stack up — verified facts, no spin.
Also searched as Microsoft Agent Framework vs Direct SDKs (no framework) — same comparison, one verdict.
Direct SDKs (no framework) keeps your data local by default and Microsoft Agent Framework keeps it in the vendor's cloud — for most teams that single fact decides it.
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
6 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| Direct SDKs (no framework) | Microsoft Agent Framework | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 93 | 80 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first data | 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.
Weighing both against staying on LangChain? Is LangChain free? What it actually costs →
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
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose Direct SDKs (no framework)
if your data should stay on machines you control, and every line is yours: debugging is a stack trace, not archaeology.
Choose Microsoft Agent Framework
if enterprise plumbing included: sessions, telemetry, middleware.
Neither, yet
if both carry a real cost you should weigh first — you write your own retries, streaming, and evaluation plumbing, and microsoft-governed direction; strong Azure gravity. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
Direct SDKs (no framework) vs Microsoft Agent Framework — common questions
Is Direct SDKs (no framework) a better fit than Microsoft Agent Framework for llm & agent frameworks?
It depends on what you are optimising for, and the honest split is this: Direct SDKs (no framework) scores 93 to Microsoft Agent Framework's 80 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Microsoft Agent Framework earns its place on a different axis — enterprise plumbing included: sessions, telemetry, middleware. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
Direct SDKs (no framework) keeps its data local or in open formats, so leaving is an export rather than a negotiation. Microsoft Agent Framework is still self-hostable, so the files stay on your server either way — but it is not local-first by design, so check what its export produces before you rely on it.
Can I self-host Direct SDKs (no framework) or Microsoft Agent Framework?
Both can be self-hosted. The difference is what it costs you in time rather than whether it is possible — see the setup and maintenance rows above.
Are Direct SDKs (no framework) and Microsoft Agent Framework both alternatives to LangChain?
Yes — both appear in our LangChain comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off LangChain and now choosing between the two replacements, which is a narrower and much easier question.
More LangChain head-to-heads
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Facts verified 2026-07-16. Licenses and pricing change — spotted something out of date? That's a correction we want.