DeepTutor vs ai-job-search
The two are close in size: 42.1k stars for DeepTutor, 63.2k for ai-job-search. Over the days we have tracked them DeepTutor moved +42% and ai-job-search +127.1%, so ai-job-search is growing faster right now.
DeepTutor leads on privacy and model freedom and setup ease. ai-job-search does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
A self-hostable, multi-agent tutoring platform with built-in RAG, three-layer persistent memory and a pluginable Skills ecosystem for lifelong personalized learning.
- Stars
- 42.1k
- Tracked growth
- +42%
- Maturity
- ●●●●●
- Last commit
- 2d ago
- Language
- Python
- License
- Apache-2.0
- Cost to run
- Free to self-host; uses your model API key or local LLMs
Local-first, end-to-end job-application framework that scrapes portals, tailors LaTeX CVs/cover letters, runs a drafter–reviewer agent pipeline, and archives applications for repeatable, owned job hunting.
- Stars
- 63.2k
- Tracked growth
- +127.1%
- Maturity
- ●●●●●
- Last commit
- 1d ago
- Language
- Python
- License
- MIT
- Cost to run
- Requires Claude Code (Anthropic) CLI / third‑party access.
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | DeepTutor | ai-job-search |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Multi-doc RAG | ●●●●● Repo + documents |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Basic filters | ●●●●● Reviewer + dedupe |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Plugin & skills | ●●●●● Templates & portals |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Fully local | ●●●●● Third-party cloud |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● BYOK + local | ●●●●● Claude + others |
Setup ease What it takes to get a first useful run out of it. | ●●●●● One-command start | ●●●●● CLI + deps |
Which one to pick
Pick DeepTutor if…
Privacy-first — run locally or with your own API keys while getting a production-grade, extensible tutoring stack (agents, RAG, persistent memory, and Skills marketplace).
- Privacy: Fully local (5/5 against 2/5)
- Model freedom: BYOK + local (5/5 against 3/5)
- Setup ease: One-command start (5/5 against 3/5)
Pick ai-job-search if…
Extensible end-to-end workflow — use it when you want a local CLI that orchestrates scraping, fit scoring, CV/cover-letter generation (LaTeX), and a reviewer agent to produce production-ready applications you control.
What people want from each one
HKUDS/DeepTutor
Hacker News: DeepTutor: Agent-Native Personalized Tutoring drew 2 points and 0 comments.
MadsLorentzen/ai-job-search
Questions people ask
Is DeepTutor better than ai-job-search?
DeepTutor leads on privacy and model freedom and setup ease. ai-job-search does not take any axis by a clear margin. DeepTutor is worth picking when privacy-first — run locally or with your own API keys while getting a production-grade, extensible tutoring stack (agents, RAG, persistent memory, and Skills marketplace).
Which of DeepTutor and ai-job-search keeps my code private?
DeepTutor: Fully local (5/5). ai-job-search: Third-party cloud (2/5).
What does each one cost to run?
DeepTutor: Free to self-host; uses your model API key or local LLMs. ai-job-search: Requires Claude Code (Anthropic) CLI / third‑party access..
Full profiles: HKUDS/DeepTutor and MadsLorentzen/ai-job-search. Everything else in Personal assistants.