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AgentsKit vs LangGraph

AgentsKit and LangGraph, side by side — the researched facts from the index.

How AgentsKit and LangGraph compare

FeatureAgentsKitLangGraph
DescriptionOpen-source, MIT-licensed JS/TS toolkit for building AI agents with a 10KB zero-dependency core and 50 built-in integrations.Open-source, MIT-licensed framework for building stateful, multi-agent AI workflows on cyclical graphs.
Pricing-$0/seat/month
TagsOpen sourceSelf-hostedAPIClaudeEnterpriseFree tierGPTMulti-agentOpen sourceSelf-hosted
Pricing modelfreefreemium
Free tierYesYes
Model / LLMProvider-agnostic: Anthropic, OpenAI, Gemini, Ollama, DeepSeek, Grok and others via 25 native adaptersOpenAI, Anthropic, Google, AWS Bedrock, Groq, Ollama and more
Bring your own model-Yes
InterfaceLibraryLibrary
Public APIYesYes
Open sourceYesYes
DeploymentSelf-hostBoth
Limitations
  • Public feature counts are inconsistent across the vendor's own pages: the main site cites 184 providers and 6,297 models, while the GitHub README's evidence ledger lists 140 providers and 5,000+ models.
  • Adoption signal is thin: the GitHub repository shows only 25 stars and 1 fork at review time.
  • Requires Node 22+ and TypeScript 5.8+, a recent toolchain that can exclude teams running older stacks.
  • The Doc Bridge Claude Desktop MCP Bundle currently only packages for macOS.
  • AKOS, the vendor's optional paid managed control plane for governance, audit and cost controls, is still in early access with no published pricing — interested teams must book a demo to learn cost.
  • Production costs add up through usage-based LCU and LSU units on top of seat fees. A small setup can run from tens of dollars into the low hundreds per month before any LLM API costs, depending on trace volume and deployment size.
  • Independent reviewers consistently describe a steep learning curve, with documentation split across the LangGraph, LangChain and LangSmith sites.
  • The explicit graph model means refactoring an agent often means redrawing the graph. Independent reviewers report longer onboarding onto a LangGraph codebase than most alternatives.
  • Not a no-code tool. Non-technical teams need LangChain's separate Fleet product on LangSmith or another platform.
  • Managed deployment is not designed for serverless platforms like Vercel or Cloudflare Workers, unlike TypeScript-native competitors such as Mastra.

Who each one is for

AgentsKit

JS/TS developers who want an ownable, dependency-light agent toolkit

LangGraph

Engineering teams building production agents who need cyclical graphs, durable state and replayable runs

From $0/seat/month

The digest

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Related comparisons and alternatives

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