head to head · open source
deepwiki-open vs llm-wiki-agent
deepwiki-open has 18,015 GitHub stars, 2,004 forks, 269 open issues and last shipped 17 days ago. llm-wiki-agent has 3,542 stars, 407 forks, 4 open issues and last shipped 3 days ago. deepwiki-open leads on adoption by 409% (18,015 vs 3,542 stars). deepwiki-open is written in Python under MIT; llm-wiki-agent is written in Python under MIT. deepwiki-open has attracted 11% as many forks as stars, llm-wiki-agent 11%. llm-wiki-agent was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (codex, 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.
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Side by side
| deepwiki-open | llm-wiki-agent | |
|---|---|---|
| GitHub stars | ★ 18K | ★ 3.5K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-03 | 2026-09-17 |
| Forks | ⑂ 2.0K | ⑂ 407 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick deepwiki-open if
- You weight community size — 18K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick llm-wiki-agent if
- You want the llm-wiki-agent feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and llm-wiki-agent fits your workflow better
About deepwiki-open
DeepWiki Open, also published as Grok Wiki, is an open source wiki generator for source code repositories. It takes a GitHub, GitLab, or Bitbucket repository name as input and produces a navigable documentation site for that codebase. The project is written in Python and released under the MIT License, and the author describes it plainly as a personal implementation attempt at DeepWiki. It lives in the AI developer tooling ecosystem alongside the model providers and coding agents its topic list names, including OpenAI, Gemini, OpenRouter, Ollama, Codex, and grok cli.
read the full deepwiki-open overview →
About llm-wiki-agent
LLM Wiki Agent is a Python coding agent skill for building a personal knowledge base. It lives in the coding agent and personal knowledge base ecosystem, where Claude Code, Codex, OpenCode, and Gemini CLI can read configuration files and run workflows. Users place source documents into a raw directory and ask the agent to ingest them. The agent reads the sources, extracts knowledge, and maintains a persistent interlinked markdown wiki.
read the full llm-wiki-agent overview →
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Frequently asked questions
Is deepwiki-open or llm-wiki-agent more popular?
deepwiki-open has 18,015 GitHub stars and llm-wiki-agent has 3,542. deepwiki-open has the larger community by that measure.
Are deepwiki-open and llm-wiki-agent free?
Both are open source. deepwiki-open is licensed under MIT and llm-wiki-agent under MIT. Neither carries a licence fee.
What is the difference between deepwiki-open and llm-wiki-agent?
deepwiki-open is written in Python and llm-wiki-agent 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, deepwiki-open or llm-wiki-agent?
Choose deepwiki-open if you want the larger community (18,015 stars) or its MIT licence terms. Choose llm-wiki-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.