ai-job-search vs ShogunAI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of ai-job-search and ShogunAI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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ai-job-search
Mads Lorentzen
Open-source AI job application framework built on Claude Code — evaluate postings, tailor CVs, write cover letters, and prep interviews on your machine.
Key features
- /scrape Workflow: Pull job postings from configured sources into a structured queue on your machine.
- /apply Workflow: Tailor your CV and generate a cover letter for a specific posting via a drafter/reviewer agent pipeline.
- /interview Workflow: Prep for interviews with role- and company-specific question generation and answer drafts.
- Local-First Execution: Runs entirely on your machine — your profile and application drafts never leave your computer.
- Profile-Driven Personalization: Fork, fill in your profile once, and every application is grounded in your real experience.
- Language & Country Agnostic: Works for job searches in any language and any local job market.
Best for
- Full-Time Job Hunt: Automate the tailored-application pipeline for dozens of postings a week.
- Career Transitions: Reframe your existing profile for a new industry by editing prompts, not rewriting every CV.
- Interview Preparation: Generate role-specific mock questions and structured answers before phone screens.
- Contractor Pipeline: Contract and freelance workers use it to keep applications flowing across multiple platforms.
- Career Coach Tooling: Coaches fork the repo to run structured application workflows for clients.
ShogunAI
ShogunAI
A local-first macOS memory and execution assistant that remembers your workday on-device and finishes work inside the tools you already use.
Key features
- On-Device Memory Layer: Captures mail, meetings, documents and screen context locally and indexes them into an encrypted store on your Mac, with no cloud copy by default.
- Contextual Recall with Sources: Answers plain-language questions across Mail, chat, docs and calendar from a single search, attaching the source and timestamp to every hit so answers can be checked.
- Execution Layer with Three Autonomy Levels: Reversible work runs automatically, drafts wait for review, and anything leaving your Mac stops for explicit approval — with every action logged as what ran, on what evidence, and what left the device.
- Inline Draft at the Caret: Press Option and ShogunAI reads the field around your cursor plus the memory behind it, then writes the continuation directly in the app you are already typing in as a local write you send yourself.
- Meeting Minutes, Not Recordings: Transcribes a meeting as it starts and on completion writes a summary, the decisions made and the commitments it heard, filing next actions into your work state with one tap; audio is never written to disk.
- Two-Way Live Translation: Set the language you speak and the language they speak — their speech reaches you in yours and yours reaches them in theirs, with only text retained afterwards.
- Daily Brief: Assembles what moved overnight, what is still open and what you promised someone before the day starts, rather than on request.
- Shared Memory Across Models and Agents: The same structured state of people, projects, commitments and open loops reaches Claude, Cursor, ChatGPT and anything driven over MCP, CLI or REST, so no session starts cold.
Best for
- Eliminating Cold Starts: Stop re-pasting last week's decisions and open threads at the beginning of every model session — every assistant starts from the same live memory of your work.
- Closing Open Loops: Surface the follow-up that is due today, draft the reply with the correct file attached, and hold it for approval before it reaches the recipient.
- Meeting Follow-Through: Turn a call into decisions, commitments and filed next actions automatically instead of re-listening to a recording.
- Answering 'What Did We Decide?': Recall a specific decision from a Notion brief or Gmail thread weeks later, with the source and time attached so it can be verified.
- Privacy-Constrained Work: Run an assistant over sensitive client or company context on machines where a cloud-indexed copy of the workday is not acceptable.
- Cross-Language Collaboration: Hold live meetings with counterparts in another language and keep only the translated text afterwards.
- Consultant and Founder Context Switching: Keep separate projects, people and commitments straight across many concurrent engagements without manual note discipline.