head to head · open source

langchain vs Agently

langchain has 146,538 GitHub stars, 24,504 forks, 492 open issues and last shipped yesterday. Agently has 1,652 stars, 181 forks, 15 open issues and last shipped 6 days ago. langchain leads on adoption by 8,770% (146,538 vs 1,652 stars). langchain is written in Python under MIT; Agently is written in Python under Apache-2.0. langchain has attracted 17% as many forks as stars, Agently 11%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (framework, gemini), so they are genuine substitutes rather than adjacent tools.

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 Agently ★ 1.7K category AI & Machine Learning

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Side by side

langchain Agently
GitHub stars ★ 147K ★ 1.7K
License MIT Apache-2.0
Written in Python Python
Last push 2026-09-17 2026-09-12
Forks ⑂ 25K ⑂ 181
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 Agently if

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

full Agently 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 Agently

Agently is a Python GenAI application development framework and AI application runtime framework. It lives in the AI and machine learning ecosystem, specifically in AI development platforms for agents and large language model services. The project targets teams moving from one successful model call to a reliable application backend with stable contracts, observable execution, and restart safe workflow boundaries.

read the full Agently overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K ponytail ★ 141K

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dify vs langchain langchain vs ponytail langchain vs graphify dify vs ponytail dify vs graphify ponytail vs graphify dify vs claude-mem dify vs ragflow openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

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 Agently more popular?

langchain has 146,538 GitHub stars and Agently has 1,652. langchain has the larger community by that measure.

Are langchain and Agently free?

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

What is the difference between langchain and Agently?

langchain is written in Python and Agently in Python. 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 Agently?

Choose langchain if you want the larger community (146,538 stars) or its MIT licence terms. Choose Agently if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.