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Adapt vs LangChain

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Adapt publishes a starting price ($50); LangChain does not. Both have a free tier. Only Adapt ships a public API.

AdaptOne company-wide agent across Slack, GitHub and Linear, with model routing and sandboxed code execution.LangChainMIT-licensed Python/JavaScript framework for building LLM agents, with 1,000+ model and tool integrations

Side by side

FactAdaptLangChain
CategoryAgent Frameworks & OrchestrationLLM Orchestration Frameworks
Pricing modelFreemiumFree
Starts at$50 month—
Public APIYesNo
PlatformsWeb, API, Slack AppmacOS, Windows, Linux
CompanyAdapt, Inc.LangChain, Inc.
Launched—2022
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Adapt

Adapt is the rare agent platform that charges for usage instead of seats, which suits teams where a handful of heavy users carry the load. The routing layer and microVM sandboxes are the substance; the integration model, plain TypeScript files in your repo, means you are not locked into a visual builder. The catch is that spend is unpredictable by design and the entry Pro commitment starts at $50 a month.

Pros

  • Router chooses between frontier and open-weight models per task rather than pinning one model
  • MicroVM sandboxes with persistent filesystems, scoped secrets and cron scheduling
  • Integrations are TypeScript files you own, scaffolded by one command
  • Usage-based credits with unlimited seats, so read-only users cost nothing
  • Self-host, VPC and on-prem options alongside the managed cloud

Cons

  • Credit spend scales with usage and the Pro band tops out at $5,000 a month
  • No per-seat option for teams that budget by headcount
  • Company founding year and team size are not published

LangChain

The default starting point for agent development: no other framework matches its integration catalog, documentation volume or hiring-market familiarity. The catch is churn and depth — major versions have repeatedly rewritten core APIs, and once you need observability or managed deployment you are steered toward the paid LangSmith platform.

Pros

  • Integrations for 1,000+ models, tools, vector stores and databases
  • MIT license with a large contributor community
  • LangGraph runtime adds persistence, rewind and human-in-the-loop control
  • Python and JavaScript keep parity for most features

Cons

  • History of breaking API changes between major versions
  • Layers of abstraction complicate debugging versus direct SDK calls
  • Production observability and deployment funnel into commercial LangSmith

Which one fits

Choose Adapt if you need

  • Engineering orgs that want one agent reachable from Slack, GitHub and Linear
  • Teams that need code execution with real filesystems and secrets
  • Companies with VPC or on-prem deployment requirements

Choose LangChain if you need

  • Teams prototyping agents quickly against many models and tools
  • Projects that expect to swap LLM providers without rewrites
  • Developers who want abundant examples, courses and community answers

More comparisons

All Adapt alternatives →Browse all Agent Frameworks & Orchestration →