DeepYard

AgentsKit vs LangChain

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

AgentsKit suits teams needing open-source access, composable agent focus, and 25 GitHub stars in current listing data. LangChain suits teams needing open-source access, python focus, and 144,745 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
A

AgentsKit

Composable JavaScript agent toolkit with a lightweight core and formal adapter contracts

OSSFree
252d ago5
Visit GitHub
L

LangChain

Build context-aware reasoning applications with LLMs

OSSFree
144.7K850.0K/wtoday467
Visit GitHub
MetricAgentsKitLangChain
GitHub Stars25144.7K
Contributors5467
Last CommitAug 20, 2026Aug 22, 2026
Open Issues15416
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose AgentsKit if you need

  • • AgentsKit is the stronger pick when Composable Agent Runtime matters because that capability is listed only on its profile.
  • • AgentsKit is the cleaner fit if you specifically need Agent Framework workflows from the catalog tags.

Choose LangChain if you need

  • • LangChain stands out for Python workflows that are not listed for AgentsKit.
  • • LangChain is the stronger pick when Chain matters because that capability is listed only on its profile.
  • • LangChain shows broader GitHub adoption with 144,745 stars versus 25 for AgentsKit.

Meaningful differences

  • • Workflow emphasis: AgentsKit highlights Typescript, while LangChain highlights Python.
  • • GitHub adoption: AgentsKit shows 25 stars versus 144,745 for LangChain.
  • • Contributor count: AgentsKit lists 5 contributors and LangChain lists 467.

Shared capabilities

  • • Typescript
  • • Rag
  • • Tool Use

Shared Tags

typescriptrag

Only in AgentsKit

agent-frameworkjavascriptcomposablemulti-provider

Only in LangChain

llmagentschainspythonorchestration

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

About AgentsKit

AgentsKit is a modular JavaScript and TypeScript toolkit for building AI agents without tying the application to one provider or runtime. Its focused packages cover adapters, streaming runtimes, tools, skills, memory, RAG, evaluation, observability, React and terminal UIs, with six formal contracts keeping components substitutable.

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About LangChain

LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.

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