head to head · open source
Skill_Seekers vs llm-wiki-agent
Skill_Seekers has 15,009 GitHub stars, 1,530 forks, 59 open issues and last shipped 4 days ago. llm-wiki-agent has 3,542 stars, 407 forks, 4 open issues and last shipped 3 days ago. Skill_Seekers leads on adoption by 324% (15,009 vs 3,542 stars). Skill_Seekers is written in Python under MIT; llm-wiki-agent is written in Python under MIT. Skill_Seekers has attracted 10% 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 (ai-tools, automation), 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
| Skill_Seekers | llm-wiki-agent | |
|---|---|---|
| GitHub stars | ★ 15K | ★ 3.5K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-16 | 2026-09-17 |
| Forks | ⑂ 1.5K | ⑂ 407 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Skill_Seekers if
- You weight community size — 15K 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 Skill_Seekers
Skill Seekers is a Python 3.10+ command line tool and MCP server that turns 18 source types — documentation sites, GitHub repositories, PDFs, Word and EPUB files, notebooks, OpenAPI specs, man pages, and video — into structured knowledge assets packaged for Claude AI skills, RAG pipelines such as LangChain, LlamaIndex, and Pinecone, and AI coding assistants including Cursor, Windsurf, and Cline.
read the full Skill_Seekers 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 Skill_Seekers or llm-wiki-agent more popular?
Skill_Seekers has 15,009 GitHub stars and llm-wiki-agent has 3,542. Skill_Seekers has the larger community by that measure.
Are Skill_Seekers and llm-wiki-agent free?
Both are open source. Skill_Seekers is licensed under MIT and llm-wiki-agent under MIT. Neither carries a licence fee.
What is the difference between Skill_Seekers and llm-wiki-agent?
Skill_Seekers 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, Skill_Seekers or llm-wiki-agent?
Choose Skill_Seekers if you want the larger community (15,009 stars) or its MIT licence terms. Choose llm-wiki-agent if its feature set, stack or MIT licence fits better. Both are self-hostable.