Agently vs ai-job-search: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Agently and ai-job-search — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Agently
Agently
Company brain across your entire stack that spawns specialized AI agents, orchestrated by Jarvis, to autonomously ship real work.
Key features
- Company Brain Across 100+ Tools: Live ingest of Slack, Notion, Linear, Stripe, HubSpot, GitHub, Gmail, Google Drive, Figma, PostHog, Asana, Jira and more via two-way OAuth MCP connectors.
- Jarvis Orchestrator: A meta-agent that spins up specialized agents, routes work between them, and runs a shared board so founders set direction while Jarvis ships.
- Specialized Agent Roster: Prebuilt Researcher, Revenue, Growth, Support, Ops, and Briefer agents that trigger on real signals from the stack.
- Signal-to-Action Loop: Detects at-risk renewals, failed charges, escalated tickets, and doc changes, then decides and executes the follow-up work with an audit trail.
- Shippable Pages Artifacts: Outputs land as real files — presentations, gated PDFs, sheets, HTML pages, and Notion-style docs — that teams can share, gate, or export.
- Live Command Center: A dashboard shows every task, agent, and shipped artifact in real time with per-tool activity history.
- 60-Second Onboarding: Connecting tools sends the brain live within a minute so agents can start acting on the stack right away.
Best for
- Weekly Briefs and Board Updates: Automatically draft the weekly status doc, launch tracker, and board deck from live signals across the stack.
- Revenue Ops on Autopilot: Catch failed Stripe charges, at-risk renewals, and pipeline changes, then draft recovery emails and update HubSpot deals.
- Customer Support Escalations: Watch Linear and Slack for escalated tickets and reply/update them with grounded context from Notion and Gmail.
- Growth and Distribution Audits: Assemble funnel diagnostics and distribution audits as gated PDFs, complete with metrics and recommendations.
- Executive One-Person Chief of Staff: Solo founders and small teams replace recurring meetings with agent-drafted briefs and shipped artifacts.
- Ops and Compliance Reporting: Continuously reconcile tool state and generate signed-off reports for leadership without a human in the loop.
a
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.