LangChain vs Stirrup
LangChain and Stirrup are both agent frameworks for Python. LangChain is published by LangChain and Stirrup by ArtificialAnalysis. On GitHub, LangChain has 148,371 stars and Stirrup has 667. Both were last active in Oct 2026. The table lines up where they differ (publisher, GitHub stars, weekly downloads and languages) and has the install commands for both. Everything here comes from the listings' public sources and is refreshed daily. LangChain describes itself as: Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it. Stirrup: Lightweight Python framework and starting template for agents that let the model choose its own approach to each task. Licenses: LangChain MIT, Stirrup MIT.
Updated Oct 26, 2026 · Built from catalog data; how we rank and grade
LangChain
LangChain
Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it.
Stirrup
ArtificialAnalysis
Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.
Who should pick which
- Pick LangChain if you want a stable release (Stirrup is marked beta).
- Pick Stirrup if you work in TypeScript.
- Pick Stirrup if you want MCP support built in.
- LangChain has the larger community: 148,371 GitHub stars against 667.
From listing data only. We don't pick a winner on security beyond the grades; read how grades work.
Side by side
| Fact | LangChain | Stirrup |
|---|---|---|
| Type | Harness | Harness |
| Publisher | LangChain | ArtificialAnalysis |
| License | MIT | MIT |
| Pricing | Not stated | Not stated |
| Runs | Not stated | Not stated |
| Auth | Not stated | Not stated |
| Hosts supported | Not stated | Not stated |
| Tools | Not listed yet | Not listed yet |
| Security grade | –Security: not graded yet | –Security: not graded yet |
| Freshness grade | AFreshness: A | AFreshness: A |
| GitHub stars | 148,371 | 667 |
| Weekly downloads | 37,334,710 | 65,259 |
| Last release | Oct 22, 2026 | Oct 22, 2026 |
| Last activity | Oct 24, 2026 | Oct 22, 2026 |
Facts from each listing's public sources, checked daily. Tool lists arrive with tool scans.
Install
LangChain
pip install langchain
Stirrup
pip install stirrup
Also consider
- 0.853score
LlamaIndex
LlamaIndex
Open-source Python toolkit for RAG and agents over your own data, with event-driven workflows and 300+ integration packages.
HarnessAFreshness: A★ 52.6K↓ 1.4M/wk - 0.851score
Strands Agents
AWS
Open-source Python and TypeScript SDK for model-driven agents, with tools, MCP, multi-agent patterns and streaming.
HarnessAFreshness: A★ 8.9K↓ 8.9M/wk - 0.841score
GitHub Copilot SDK
GitHub
Multi-language SDKs for embedding the GitHub Copilot agent runtime, with planning, tool calls and file edits, in your apps.
HarnessAFreshness: A★ 10.6K↓ 1.2M/wk
Questions
- Is LangChain or Stirrup more popular?
- LangChain has more GitHub stars (148,371 against 667). Stars measure attention, not quality, so check freshness and docs too.
- Are LangChain and Stirrup open source?
- Yes: LangChain is MIT and Stirrup is MIT.
Related
Cite this page
LangChain vs Stirrup. Agent Mart. https://agentmart.dev/compare/langchain-vs-stirrup (last updated 2026-10-26)