head to head · open source

langchain vs cli

langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped yesterday. cli has 31,040 stars, 1,840 forks, 131 open issues and last shipped 2 days ago. langchain leads on adoption by 372% (146,562 vs 31,040 stars). langchain is written in Python under MIT; cli is written in Rust under Apache-2.0. langchain has attracted 17% as many forks as stars, cli 6%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

langchain ★ 147K cli ★ 31K category AI & Machine Learning

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Side by side

langchain cli
GitHub stars ★ 147K ★ 31K
License MIT Apache-2.0
Written in Python Rust
Last push 2026-09-18 2026-09-17
Forks ⑂ 25K ⑂ 1.8K
Self-hosting Yes Yes
Data ownership Your server Your server

pick langchain if

  • You weight community size — 147K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langchain profile →

pick cli if

  • You want the cli feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Rust
  • You evaluated both and cli fits your workflow better

full cli profile →

About langchain

LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.

read the full langchain overview →

About cli

gws is a command line tool for Google Workspace, written in Rust and released under the Apache 2.0 license. It provides a single interface for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and the wider set of Workspace APIs. Rather than shipping a fixed list of commands, it reads Google's own Discovery Service at runtime and builds its entire command surface dynamically, so new API endpoints and methods appear without a CLI release. The project lives in the Google Workspace ecosystem and is explicitly not an officially supported Google product.

read the full cli overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K ponytail ★ 141K

Related comparisons

dify vs langchain openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

langchain vs Dify langchain vs ponytail langchain vs generative-ai-for-beginners langchain vs graphify langchain vs claude-mem langchain vs ragflow langchain vs PaddleOCR langchain vs Agent-Reach langchain vs headroom langchain vs Mem0 langchain vs daily_stock_analysis langchain vs LiteLLM

Frequently asked questions

Is langchain or cli more popular?

langchain has 146,562 GitHub stars and cli has 31,040. langchain has the larger community by that measure.

Are langchain and cli free?

Both are open source. langchain is licensed under MIT and cli under Apache-2.0. Neither carries a licence fee.

What is the difference between langchain and cli?

langchain is written in Python and cli in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, langchain or cli?

Choose langchain if you want the larger community (146,562 stars) or its MIT licence terms. Choose cli if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.