About LangChain and why teams compare it
LangChain describes itself as an open-source framework with a pre-built agent architecture and integrations for any model or tool, and says it has 1000+ integrations. Its README calls it a framework for building agents and LLM-powered applications. Its docs describe an agent as a model plus a harness, and say LangChain agents are built on top of LangGraph, which supplies durable execution, persistence and human-in-the-loop support. Around the framework sits LangSmith, the commercial platform for tracing, evaluation, deployment and, through LangSmith Fleet, a no-code agent builder. Teams compare it with Swfte when they want agents without owning a Python or JavaScript codebase, or want testing, versioning and approvals in the same place as the builder. Because LangChain is a framework rather than a hosted service, the honest question is usually who will build and run the agents, not which product has more features. This page compares the two on published facts and says who should pick which.
LangChain sits in the Open-source agent framework (MIT) with a commercial platform, LangSmith, for tracing, evaluation and deployment category. In short: An MIT-licensed framework for building agents and LLM-powered applications in code, with LangGraph as its runtime and LangSmith as the paid platform around it. Pricing as published is Framework: free under the MIT licence. LangSmith, billed in USD per the pricing page: Developer $0 per seat per month (1 seat, up to 5k base traces a month); Plus $39 per seat per month (up to 10k base traces, 1 free Serverless (Small) deployment); Enterprise custom. Usage beyond the included amounts is pay-as-you-go, and deployments are metered in LangChain Standard Units at $1.00 per LSU. It is best for Engineering teams that want to write agents in code with an open-source framework and add a managed platform for tracing, evaluation and deployment.
Swfte vs LangChain at a glance
| Capability | Swfte | LangChain | Checked at |
|---|---|---|---|
| Category | Visual builder for agents and workflows (Studio), on the same platform as the gateway | Open-source framework for building agents and LLM-powered applications; LangGraph is its low-level orchestration framework and runtime; LangSmith is the commercial platform for observability, evaluation and deployment, per LangChain | LangChain on GitHub |
| Pricing unit and plans | Free (10 workflows, 5 agents, 2,000 executions per month); Pro $39; Team $99 (3 users included); Enterprise custom | Framework free (MIT). LangSmith: Developer $0 per seat per month (1 seat, up to 5k base traces a month); Plus $39 per seat per month (up to 10k base traces, unlimited seats at $39 each); Enterprise custom. Pay-as-you-go beyond the included amounts, at $1.00 per LSU | Pricing |
| How usage is counted | Executions per month by plan; see the pricing page for model usage terms | Traces: base traces are kept for 14 days and extended traces for 180 days by default, and extended traces cost more. Usage is measured per workspace. Deployments are metered for compute (vCPU and memory) and storage, in LangChain Standard Units. Per-trace rates are not stated on the billing page | Usage and billing |
| Who builds | Visual builder in Studio, with an API for custom systems | Developers write agents in code (Python, with JavaScript docs also published). LangSmith Fleet is described as a no-code agent platform where you start from a chat or a template and add tools, channels and skills | LangSmith Fleet |
| Integrations | 100+ tool integrations, plus an API for custom systems | LangChain says it has 1000+ integrations for models and tools. Fleet lists Slack, Teams and Gmail as places agents can run, with OAuth and MCP server connections for tools | LangChain overview |
| AI agents and models | Any model reachable through the Connect gateway; agents and multi-agent orchestration in Studio | Model-agnostic: the docs show OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock, Ollama, Hugging Face and others. Agents are built from a model, tools, a prompt and middleware, on LangGraph | LangChain docs |
| MCP | See the MCP gateway page for how Swfte approaches MCP | Agents call tools defined on MCP servers through an adapter that accepts HTTP URLs, local scripts over stdio and in-process FastMCP servers. The docs concentrate on tools; resources and prompts are not covered on that page | LangChain MCP docs |
| Human approval | Role-based access and human-approval steps in workflows; configurable data-retention policies are designed for, not shipped | A human-in-the-loop middleware interrupts when a tool call matches a configured action, with approve, edit, reject and respond decisions. It requires a checkpointer and a thread ID | Human in the loop |
| Evaluation and versioning | Testing and evaluation: A/B experiments between chatflow versions and safety policies on agents are built; golden sets and regression runs are in development. Versions with promote and rollback for chatflows and workflows; release channels and gradual rollouts are in development | LangSmith describes offline evaluation on datasets, online evaluation of production runs, LLM-as-judge evaluators, annotation queues, custom evaluators in Python or TypeScript, and a playground for comparing prompt versions. Semantic versions and release channels for agents are not verified from the pages we reviewed | LangSmith evaluation |
| Observability | Traces, logs and token-cost telemetry per step | Tracing and monitoring are listed on all LangSmith plans, per the pricing page. The framework connects to LangSmith with one environment variable, per LangChain | Pricing |
| Hosting | Managed service; customer data at rest in AWS Ireland. Dedicated or private deployment is designed for and scoped as an engagement, not self-serve | The framework runs wherever you run your code. For LangSmith, managed cloud, hybrid (control plane in LangChain’s cloud, data plane in your VPC) and fully self-hosted on Kubernetes are documented; self-hosted is described as an add-on to the Enterprise plan | Self-hosted LangSmith |
| SSO and admin controls | SAML SSO and SCIM are in development | The pricing page lists custom SSO, ABAC and RBAC on Enterprise, and org-level roles only on Developer. The docs say Enterprise supports SAML or OIDC single sign-on with just-in-time provisioning, and custom roles per workspace | LangSmith for Enterprise |
| Data use and training | Not listed on this site as a Studio statement; see the trust centre | The terms of service say LangChain will not use Customer Data to train on, develop or otherwise improve its products, including any large language models | Terms of service |
| Compliance | No SOC 2 report or ISO 27001 certificate is held and no HIPAA BAA is signed today; a SOC 2 Type I audit is in preparation (see the trust page). The exact posture depends on your use case, jurisdiction and deployment | LangChain’s docs state that LangSmith is SOC 2 Type 2 certified and HIPAA compliant, and the enterprise page also names GDPR. LangSmith runs in US, EU and APAC regions. The trust centre did not render for our fetch, so scope and dates are not confirmed here | Regions FAQ |
| Export and portability | Not verified for Studio on this page | The framework and LangGraph are MIT-licensed, so your agent code stays yours. An export path for LangSmith traces and datasets is not verified from the pages we reviewed | LangGraph |
LangChain values were checked against the vendor's own pages on October 6, 2026. Plans, prices and limits change; confirm on the vendor's page before you decide. Where a cell is blank or says "not verified", we could not confirm it from a primary source and chose not to guess.
Who should pick which
Pick LangChain if
- Your team writes Python or JavaScript and wants a code-first framework with the source under the MIT licence.
- You want explicit control over agent state, persistence and middleware, and are happy to build the surrounding service yourself.
- You want to choose models and providers directly in code, including local models through Ollama, from a very wide integration catalogue.
- You want to self-host the whole stack in your own cloud, which LangChain documents for Enterprise, and are comfortable with Kubernetes and a custom price.
- You want tracing, datasets and evaluation tied to the framework you already use, starting on a free Developer plan.
Pick Swfte if
- The people building agents include analysts and operations staff who do not write code.
- You want testing, versioned releases and rollbacks in the build flow rather than assembled around a framework.
- You want the builder and the model gateway on one platform, so routing, failover and cost tracking are shared.
- You prefer one managed service to a framework plus a separate platform for tracing, evaluation and deployment.
- You are comfortable with Swfte’s current gaps: SAML SSO and SCIM are in development, dedicated or private deployment is scoped as an engagement and is not self-serve, there is no open-source source to read, and the integration catalogue is far smaller than a framework that can call anything.
What LangChain does well
- The framework is MIT-licensed and free to use, per LangChain
- It describes 1000+ integrations for models and tools, with providers such as OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock and Ollama shown in its docs
- Agents run on LangGraph, which provides durable execution, persistence and human-in-the-loop support
- MCP servers can be used as tool sources, and a human-in-the-loop middleware offers approve, edit, reject and respond decisions
- LangSmith adds tracing, offline and online evaluation, annotation queues, and a free Developer plan
Trade-offs to weigh
- LangChain is code: building and maintaining agents is an engineering task in Python or JavaScript, and the platform pieces (tracing, evaluation, deployment) are separate products to adopt
- Platform pricing is metered in two units, per-seat fees plus usage, and Enterprise is custom, so a total cost depends on trace volume and deployment size
- Self-hosted and hybrid LangSmith deployment is documented as an Enterprise add-on and needs Kubernetes and several storage services
- Human-in-the-loop in the framework requires a checkpointer, so approval flows need persistence set up before they run
When Swfte is the better choice
When the people building agents are not all engineers and you want a visual builder with testing, versioned releases and approvals on the same platform as the model gateway. LangChain is the better fit if you want the source, code-level control and the largest set of framework integrations. LangChain also now offers a no-code agent builder in LangSmith Fleet, so check that against Studio as well.
Swfte Studio is for teams that want to build agents and workflows visually and run them as a managed service. It uses the Connect gateway for model access, so routing, failover and cost tracking are shared, and it lists testing and evaluation, semantic versions with rollbacks, and human-approval steps in workflows. Nexus adds agent governance.
Swfte is not a replacement for a code framework. LangChain gives you the source, code-level control, a very large integration catalogue and the option to host everything yourself. Swfte is earlier on enterprise identity: SAML SSO and SCIM are in development, and dedicated or private deployment is an engagement, not self-serve.
Where Swfte fits
How to migrate from LangChain to Swfte
- List your chains and agents
For each one, note its model, prompts, tools, retrievers, memory or checkpointer, triggers and any human review. In LangChain these live in your own repository.
- Separate code-bound from process-bound work
Agents that depend on custom Python or JavaScript tools, or on tight library use, are candidates to stay as they are. Agents that mostly call models and standard tools are candidates for Studio.
- Record what you have
LangChain is code, so your repository is the record: prompts, tool definitions, model settings and graph structure. If you use LangSmith, keep your datasets and evaluation cases too. We do not list an import for LangChain projects or LangSmith data, so treat it as a rebuild.
- Rebuild one workflow in Studio
Recreate the trigger, the agent steps, the tools and any approval step. Studio’s free plan includes 10 workflows, 5 agents and 2,000 executions per month, enough to test one case. Studio lists 100+ tool integrations plus an API for the rest.
- Test on real inputs, then run both
Run 20 to 50 real inputs through Studio’s testing and compare with your current agent. Then send live triggers to both for a while and compare outputs, failures and cost.
- Cut over what fits
Move the workflows that benefit from a visual builder and versioned releases, and keep code-bound agents in LangChain. You can call one from the other through an API.
How LangChain compares to other alternatives
Other agent frameworks and platforms worth comparing are LangGraph, CrewAI and LangSmith itself. Each has its own page in the alternatives index.
For a full cross-comparison see the alternatives index and the head-to-head comparisons grouped by category.
Sources
LangChain facts on this page come from the vendor's own documentation and pricing pages. Swfte facts come from our pricing and product pages. See something out of date? Tell us at sales@swfte.com and we will correct it.
- LangChain overview
- LangChain pricing (LangSmith)
- LangChain on GitHub (licence, description)
- LangChain documentation
- LangChain MCP docs
- LangChain human in the loop
- LangGraph overview
- LangSmith evaluation
- LangSmith Fleet
- LangSmith usage and billing
- Self-hosted LangSmith
- LangSmith for Enterprise
- LangSmith regions FAQ
- LangChain terms of service
Frequently asked questions about LangChain alternatives
Is Swfte a LangChain alternative?
For building and running agents with a visual builder, testing and approvals, yes. For a code-first, open-source framework, no: LangChain is MIT-licensed and you can read and change the source, which you cannot do with Swfte. Many teams use a framework for some agents and a managed builder for others.
Is LangChain free?
The framework is MIT-licensed and free to use, per LangChain. LangSmith, the platform, has a Developer plan at $0 per seat per month with one seat and up to 5k base traces a month, then pay-as-you-go. Plus is $39 per seat per month and Enterprise is custom.
How much does LangChain cost?
The framework costs nothing to install. LangSmith is priced per seat plus usage: Developer $0, Plus $39 per seat per month with up to 10k base traces and one free Serverless (Small) deployment, and Enterprise custom, with usage and deployments metered at $1.00 per LangChain Standard Unit. Swfte Studio lists Free, Pro $39, Team $99 (3 users included) and Enterprise custom. The units differ, so compare on your own workload.
Can I self-host LangChain?
Yes for the open-source framework, which runs wherever you run your code. For LangSmith, LangChain documents hybrid and fully self-hosted deployment on Kubernetes, described as an add-on to the Enterprise plan. Swfte Studio is a managed service; dedicated or private deployment is scoped as an engagement, not self-serve.
Can I import my LangChain project into Swfte?
No. We do not list an import for LangChain or LangGraph projects, or for LangSmith data. Because LangChain is code in your own repository, you keep everything and can use it as the record when you rebuild a workflow in Studio.
Does LangChain support MCP and human approval?
Yes to both, with limits. Agents can call tools on MCP servers through an adapter, and the docs focus on tools. A human-in-the-loop middleware offers approve, edit, reject and respond decisions, and requires a checkpointer. For Swfte’s approach to MCP see our MCP gateway guide.
Is LangChain a no-code tool?
The framework is not: it is code. LangChain does offer LangSmith Fleet, which it describes as a no-code agent platform, with chat-based creation, templates, tool approvals and MCP connections. Pricing for Fleet is metered and is shown on the pricing page; check how it fits your workload.
Is LangChain compliant, and how does that compare with Swfte?
LangChain’s docs state that LangSmith is SOC 2 Type 2 certified and HIPAA compliant, and name GDPR as well; its trust centre did not render for us, so confirm scope with LangChain. Swfte does not hold a SOC 2 report or an ISO 27001 certificate and does not sign HIPAA BAAs today; a SOC 2 Type I audit is in preparation, and the trust page has the current status. Ask each vendor for its documents and check them against your use case.
What is the difference between LangChain, LangGraph and LangSmith?
Per LangChain, LangChain is the framework for building agents, LangGraph is the low-level orchestration framework and runtime underneath it, and LangSmith is the commercial platform for observability, evaluation and deployment. LangChain and LangGraph are MIT-licensed; LangSmith is the paid product.
Rebuild one workflow in Studio
Pick an agent that does not need custom code, rebuild it on the free plan, and compare results on your own data.
Free plan · Managed service