head to head · open source

langchain vs AIHawk

langchain has 146,538 GitHub stars, 24,504 forks, 492 open issues and last shipped yesterday. AIHawk has 31,619 stars, 4,664 forks, 1 open issues and last shipped yesterday. langchain leads on adoption by 363% (146,538 vs 31,619 stars). langchain is written in Python under MIT; AIHawk is written in Python under MIT. langchain has attracted 17% as many forks as stars, AIHawk 15%. 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 AIHawk ★ 32K category AI & Machine Learning

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Side by side

langchain AIHawk
GitHub stars ★ 147K ★ 32K
License MIT MIT
Written in Python Python
Last push 2026-09-17 2026-09-17
Forks ⑂ 25K ⑂ 4.7K
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 AIHawk if

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

full AIHawk 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 AIHawk

AIHawk is an open source, MIT licensed Python MCP server that gives coding assistants and standalone users an anti detect browser for undetected web browsing, AI web scraping, and computer use agents, driven by plain language instructions.

read the full AIHawk 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

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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 AIHawk more popular?

langchain has 146,538 GitHub stars and AIHawk has 31,619. langchain has the larger community by that measure.

Are langchain and AIHawk free?

Both are open source. langchain is licensed under MIT and AIHawk under MIT. Neither carries a licence fee.

What is the difference between langchain and AIHawk?

langchain is written in Python and AIHawk 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 AIHawk?

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