head to head · open source

GPT4All vs deep-searcher

GPT4All has 77,388 GitHub stars, 8,288 forks, 771 open issues and last shipped 1.3 years ago. deep-searcher has 8,273 stars, 804 forks, 55 open issues and last shipped 10 months ago. GPT4All leads on adoption by 835% (77,388 vs 8,273 stars). GPT4All is written in C++ under MIT; deep-searcher is written in Python under Apache-2.0. GPT4All has attracted 11% as many forks as stars, deep-searcher 10%. deep-searcher 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.

GPT4All ★ 77K deep-searcher ★ 8.3K category AI & Machine Learning

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Side by side

GPT4All deep-searcher
GitHub stars ★ 77K ★ 8.3K
License MIT Apache-2.0
Written in C++ Python
Last push 2025-05-27 2025-11-19
Forks ⑂ 8.3K ⑂ 804
Self-hosting Yes Yes
Data ownership Your server Your server

pick GPT4All if

  • You weight community size — 77K stars and counting
  • You want the MIT license terms
  • Your stack matches C++
  • You value the larger contributor base for long-term maintenance

full GPT4All profile →

pick deep-searcher if

  • You want the deep-searcher 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 deep-searcher fits your workflow better

full deep-searcher profile →

About GPT4All

GPT4All is an MIT licensed C++ chat application and Python client from Nomic that runs large language models privately on everyday desktops and laptops, built for developers and teams who want local inference without API calls, GPUs, or sending data off device.

read the full GPT4All overview →

About deep-searcher

DeepSearcher is an open source deep research tool that combines large language models with vector databases to search, evaluate, and reason over private data, producing accurate answers and comprehensive reports. Written in Python and released under the Apache 2.0 license, it lives in the AI and machine learning ecosystem as a machine learning infrastructure project, built around agentic retrieval augmented generation and the Zilliz/Milvus vector search stack. The project has been on GitHub for two years, carries 8265 stars and 803 forks, and had its most recent push on 19 November 2025.

read the full deep-searcher overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

GPT4All vs Ollama GPT4All vs llama.cpp GPT4All vs vllm GPT4All vs llama_index GPT4All vs LocalAI GPT4All vs faiss GPT4All vs PageIndex GPT4All vs Langfuse GPT4All vs cognee GPT4All vs taipy GPT4All vs dagster GPT4All vs zvec

Frequently asked questions

Is GPT4All or deep-searcher more popular?

GPT4All has 77,388 GitHub stars and deep-searcher has 8,273. GPT4All has the larger community by that measure.

Are GPT4All and deep-searcher free?

Both are open source. GPT4All is licensed under MIT and deep-searcher under Apache-2.0. Neither carries a licence fee.

What is the difference between GPT4All and deep-searcher?

GPT4All is written in C++ and deep-searcher 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, GPT4All or deep-searcher?

Choose GPT4All if you want the larger community (77,388 stars) or its MIT licence terms. Choose deep-searcher if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.