Best LangChain and LangGraph alternatives in 2026
Adapt is the strongest LangChain alternative for production agents across a company, with hosting, memory and controls built in.
Why do teams look beyond LangChain?
Layers
Anthropic notes frameworks add layers that obscure prompts and responses.
Adapt: Less to assemble
Source: anthropic.com
v1
LangChain v1 moved legacy chains into langchain-classic, so old code migrates.
Source: docs.langchain.com
Enterprise
Self-hosted LangSmith is an add-on to LangChain’s Enterprise plan.
Adapt: Self-host from January 4, 2027
Source: docs.langchain.com
Why choose Adapt over LangChain?
Less to assemble
Company agent, memory, sandboxes and model gateway ship together, not as parts.
A stable surface
Agents run on the platform, so a framework migration isn’t your project.
Self-hosting included
MIT licensed and free to self-host from January 4, 2027, no Enterprise add-on.
- Pricing
- Adapt Cloud: no platform or seat fee, just usage at published rates, with 0% markup on your own model keys. Open source: free to self-host from January 4, 2027. Enterprise: an implementation fee plus an annual fee.
- Where it runs
- Run on Adapt Cloud, self-host the MIT-licensed company agent from January 4, 2027, or have AI Transformation Services run it in your VPC or on-prem.
Sources: adapt.com/pricing, adapt.com/product/overview#waitlist, adapt.com/services
What are the other LangChain alternatives?
Mastra
A TypeScript framework for building AI agents and applications, with memory and durable runs.
- Best for
- TypeScript teams that want agents, memory and workflows in one framework, with a hosted option.
- Pricing
- Free to self-host. Mastra Cloud Starter $0 per month; Teams $250 per month; Enterprise custom.
- Trade-off
- Code in ee/ directories, such as auth and editor features, is under the Mastra Enterprise Edition License.
Sources: mastra.ai, github.com
Vercel AI SDK
A TypeScript library with one API for models, tools, structured output and streaming.
- Best for
- TypeScript web teams that want a provider-agnostic agent loop with streaming UI.
- Pricing
- Free, open-source library.
- Trade-off
- The default agent runs in memory, so a crash or timeout loses progress; durability needs the separate Workflow SDK.
Sources: github.com, vercel.com
OpenAI Agents SDK
A lightweight package for agents, handoffs and guardrails, with built-in tracing.
- Best for
- Teams standardised on OpenAI models that want a minimal agent layer.
- Pricing
- Free, open source; you pay for model usage.
- Trade-off
- Hosted tools and the Responses API aren’t supported by many other providers, and default tracing uploads to OpenAI.
Sources: openai.github.io/openai-agents-python/, openai.github.io/openai-agents-python/models/
Google Agent Development Kit
An open-source, code-first framework for building, evaluating and deploying agents.
- Best for
- Google Cloud and Gemini teams, including those working across several languages.
- Pricing
- Free to self-host. Managed Agent Runtime compute at $0.085 per vCPU-hour and memory at $0.009 per GiB-hour.
- Trade-off
- It is optimised for Gemini and built for tight integration with the Google ecosystem.
Sources: services.google.com, github.com
Pydantic AI
A typed, extensible Python agent loop where any model is a string swap away.
- Best for
- Python teams that want type-safe agents and already run a durable engine such as Temporal.
- Pricing
- Free, open source. The companion Logfire observability has a free tier, then $49 or $249 per month.
- Trade-off
- Durable execution comes from an external engine you run yourself.
Sources: pydantic.dev/pricing, pydantic.dev/docs/ai/overview/
CrewAI
An open-source Python framework for role-based multi-agent crews inside structured flows.
- Best for
- Python teams modelling work as crews of agents with defined roles.
- Pricing
- Basic free with 50 workflow executions a month; Enterprise custom.
- Trade-off
- Anonymous telemetry is on by default and has to be switched off with an environment variable.
Sources: crewai.com, docs.crewai.com
Microsoft Agent Framework
The successor to AutoGen and Semantic Kernel, with agents, graph workflows and session state.
- Best for
- Azure and .NET organisations, and teams moving off AutoGen or Semantic Kernel.
- Pricing
- Free, open source. Foundry-native agents carry no extra charge beyond model tokens and tools.
- Trade-off
- Language support is uneven; the Go version is in preview without several features.
Sources: azure.microsoft.com, learn.microsoft.com
Questions
Adapt, if you need agents in production across a company, with hosting, memory and controls included. For a TypeScript framework, try Mastra or the Vercel AI SDK; for Python, Pydantic AI or the OpenAI Agents SDK.
Yes: Adapt’s company agent is open source from January 4, 2027, and most frameworks here are too: Mastra and Google ADK under Apache-2.0, and the OpenAI Agents SDK, Pydantic AI, CrewAI and Microsoft Agent Framework under MIT.
Yes: Adapt’s company agent self-hosts from January 4, 2027, and AI Transformation Services runs it in your cloud today. The open-source frameworks here are libraries you run yourself.
Developer is $0 per seat, Plus is $39 per seat per month with one small deployment, and further deployments are metered by compute and memory. Self-hosting is an Enterprise add-on.