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Tools/LangChain/vs Semantic Kernel
LangChain

LangChain

framework
vs
Semantic Kernel

Semantic Kernel

framework

LangChain vs Semantic Kernel — Comparison

Pain: 3/10017 integrations6 features2,054,811 npm/wkSeries B
20 integrations4 features
Overview
What each tool does and who it's for

LangChain

LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.

LangChain is highly praised for its capability in building and managing AI agents, evidenced by its consistent top ratings on G2, often scoring 4.5 to 5 out of 5. Users appreciate its robust functionality but note potential issues with observability and data management when deploying in production environments. The pricing sentiment is not directly addressed in the user reviews or mentions, implying that pricing may not be a major concern for users. Overall, LangChain holds a solid reputation among AI developers, although there are some concerns about AI agents potentially causing data management issues without proper oversight.

Semantic Kernel

Find official documentation, practical know-how, and expert guidance for builders working and troubleshooting in Microsoft products.

Users appreciate "Semantic Kernel" for its integration capabilities with Microsoft products and its ability to enhance AI functionalities like reasoning and remembering. However, there are no explicit user complaints or detailed pricing sentiments available in the provided data. Overall, the software enjoys a positive reputation, especially in the context of Microsoft's broader AI and cloud ecosystem developments. The lack of direct feedback makes it difficult to determine detailed user sentiments on specific features or pricing.

Key Metrics
4.6★ (20)
Avg Rating
—
9
Mentions (30d)
19
131,755
GitHub Stars
27,906
21,716
GitHub Forks
4,600
2,054,811
npm Downloads/wk
—
236,288,352
PyPI Downloads/mo
—
Mention Velocity
How discussion volume is trending week-over-week

LangChain

-50% vs last week

Semantic Kernel

-80% vs last week
Where People Discuss
Mention distribution across platforms

LangChain

Reddit
76%
YouTube
9%
Hacker News
9%
Dev.to
2%
GitHub
2%
Rss
2%

Semantic Kernel

Twitter/X
88%
Reddit
8%
YouTube
4%
Community Sentiment
How developers feel about each tool based on mentions and reviews

LangChain

9% positive89% neutral2% negative

Semantic Kernel

4% positive95% neutral1% negative
Pricing

LangChain

usage-based + subscription + contract + per-seat + tieredFree tier

Pricing found: $0 / seat, $39 / seat, $39, $0.005 / deployment, $0.0007 / min

Semantic Kernel

tiered
Use Cases
When to use each tool

LangChain (8)

Building autonomous AI agentsCreating multi-agent systems for complex tasksImplementing real-time monitoring and observability for agentsDeveloping no-code agent builders for non-technical usersIntegrating AI agents into existing enterprise workflowsTesting and debugging AI agents in production environmentsScaling agent deployment across multiple teamsUtilizing agent evaluation tools for performance assessment

Semantic Kernel (10)

Creating custom agents for user inquiriesProviding troubleshooting documentation for Microsoft productsFacilitating Q&A sessions in developer communitiesOffering interactive lessons for technical skill developmentDelivering virtual training sessions for various technologiesSupporting certification preparation for Microsoft credentialsConnecting developers and startups through Microsoft ReactorSearching for in-depth articles on Microsoft developer toolsAdvancing technical careers with verified credentialsBuilding knowledge through scenario-based learning
Features

Only in LangChain (6)

LangSmith Agent Engineering PlatformUnderstand exactly what your agent is doingUse real-world usage for iterative improvementShip and scale agents in productionAgents for the whole companyBuild with our open source frameworks

Only in Semantic Kernel (4)

Microsoft 2026Discover AI, Azure, and Copilot essentialsTake in-demand trainingAdditional resources
Integrations

Shared (1)

GitHub

Only in LangChain (16)

OpenAIAWS LambdaGoogle Cloud PlatformMicrosoft AzureSlackZapierTwilioSalesforceJiraNotionTrelloAsanaTableauPower BIDatadogPrometheus

Only in Semantic Kernel (19)

Microsoft LearnAzureMicrosoft 365Microsoft Dynamics 365Visual StudioMicrosoft Power PlatformMicrosoft EntraMicrosoft EdgeSQL ServerASP.NETSystem CenterSurface HubInternet Information ServicesHost Integration ServerEndpoint managementSales in Microsoft 365 CopilotPrevious versions of Microsoft productsDiscover AIMicrosoft 2026
Developer Ecosystem
232
GitHub Repos
7,713
17,647
GitHub Followers
116,169
20
npm Packages
20
25
HuggingFace Models
40
What Users Say
Top reviews from G2, Capterra, and TrustRadius

LangChain

What do you like best about Langchain?Out of the box features that it provides to manage and monitor llm based applications Review collected by and hosted on G2.com.What do you dislike about Langchain?Nothing in general, folks with no experience can get lost in the myriads of features it offers Review collected by and hosted on G2.com.

5.0\u2605Verified User in Telecommunicationsg2

What do you like best about Langchain?This framework is useful for building generative AI applications, especially when you need to utilize large language models, vector databases, retrieval mechanisms, and track the entire execution process. Review collected by and hosted on G2.com.What do you dislike about Langchain?Nothing, it has only evolved to enable developers like us to develop robust applications Review collected by and hosted on G2.com.

5.0\u2605Verified User in Financial Servicesg2

What do you like best about Langchain?The platform is easy to use, even if you only have a basic understanding of AI concepts. I found that navigating the features didn't require advanced technical knowledge, which made the experience straightforward and accessible. Review collected by and hosted on G2.com.What do you dislike about Langchain?Sometimes, other frameworks appear to be simpler. Review collected by and hosted on G2.com.

5.0\u2605Mirian P.g2

Semantic Kernel

No reviews yet

Pain Points
Top complaints from reviews and social mentions

LangChain

cost tracking (3)token usage (3)openai bill (2)API costs (2)API bill (1)large language model (1)llm (1)ai agent (1)openai (1)gpt (1)

Semantic Kernel

down (2)token usage (2)emergency (1)immediately (1)
Top Discussion Keywords
Most mentioned keywords from community discussions

LangChain

cost tracking (3)token usage (3)openai bill (2)API costs (2)API bill (1)large language model (1)llm (1)ai agent (1)openai (1)gpt (1)token cost (1)

Semantic Kernel

down (2)token usage (2)emergency (1)immediately (1)
Latest Videos
Recent uploads from official YouTube channels

LangChain

How to monitor production AI agents: A simple breakdown

How to monitor production AI agents: A simple breakdown

Apr 12, 2026

How Hex Builds AI Agents: Making Agents Reason Like Human Data Analysts | Izzy Miller, AI Engineer

How Hex Builds AI Agents: Making Agents Reason Like Human Data Analysts | Izzy Miller, AI Engineer

Apr 9, 2026

Deploy Agents with A2A on LangSmith Deployment

Deploy Agents with A2A on LangSmith Deployment

Apr 8, 2026

7,500+ Arcade.dev tools now available in LangSmith Fleet

7,500+ Arcade.dev tools now available in LangSmith Fleet

Apr 7, 2026

Semantic Kernel

No YouTube channel

Product Screenshots

LangChain

LangChain screenshot 1LangChain screenshot 2

Semantic Kernel

Semantic Kernel screenshot 1Semantic Kernel screenshot 2Semantic Kernel screenshot 3
What People Talk About
Most discussed topics from community mentions

LangChain

workflow9
pricing4
api4
agents4
scalability3
model selection3
data privacy3
cost optimization3

Semantic Kernel

support4
data privacy4
performance3
deployment3
scalability2
streaming2
pricing1
documentation1
Top Community Mentions
Highest-engagement mentions from the community

LangChain

Ask HN: How are you monitoring AI agents in production?

With the recent incidents (DataTalks database wipe by Claude Code, Replit agent deleting data during code freeze), it&#x27;s clear that running AI agents in production without observability is risky.<p>Common failure modes I&#x27;ve seen: no visibility into what the agent did step-by-step, surprise

Hacker Newsby jairoohpositive source

Semantic Kernel

https://t.co/hPczAuiL8J

https://t.co/hPczAuiL8J

Twitter/Xby @Microsoftneutral source
Company Intel
information technology & services
Industry
information technology & services
98
Employees
228,000
$260.0M
Funding
—
Series B
Stage
—
Supported Languages & Categories

Shared (3)

AI/MLSecurityDeveloper Tools

Only in LangChain (2)

DevOpsAnalytics
View LangChain Profile View Semantic Kernel Profile