Harly vs LobeHub
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 LobeHub leads with 401 upvotes
Open-source, self-hosted ATS for hiring teams
Harly is a fully open-source, self-hosted Applicant Tracking System (ATS) designed for hiring teams seeking flexibility, control, and cost-efficiency. Unlike many proprietary ATS platforms, Harly offers a comprehensive set of features from day one without seat limits or feature paywalls, making it ideal for startups, SMBs, and organizations prioritizing data ownership. Its intuitive visual hiring pipeline simplifies candidate management, while built-in SEO-optimized public job boards enhance visibility. The inclusion of a candidate portal, SSO, GDPR tools, and a REST API ensures seamless integration and compliance, all deployable with a single CLI command. Being MIT licensed, users retain full ownership of their data and can customize the platform to suit their unique hiring workflows. Harly’s open-source nature empowers organizations to avoid vendor lock-in and build tailored solutions for their recruitment needs.
Pros
- Open-source and self-hosted for full data control
- No seat limits or feature restrictions from launch
- Easy deployment with a single CLI command
- Includes SEO-optimized public job boards
- Comprehensive features: candidate portal, SSO, GDPR tools, REST API
Cons
- Requires technical knowledge for self-hosting and maintenance
- Lacks a dedicated support team, relying on community for assistance
- Potentially limited out-of-the-box integrations compared to proprietary solutions
Best for
- • Small to medium-sized companies wanting full control over their recruitment data
- • Organizations seeking a customizable ATS without ongoing licensing fees
- • Teams that prefer self-hosted solutions for security and compliance reasons
- • Startups looking for a scalable, cost-effective hiring platform
Pricing: Free and open-source, with no licensing costs. Deployment and maintenance may incur hosting expenses, but the software itself is available at no cost.
Agent teammates that grow with you
LobeHub revolutionizes the way AI agents are built and managed by offering long-term, collaborative agent teams that evolve alongside your needs. Unlike traditional one-off, task-specific tools, LobeHub enables users to create multi-model, integrated agents capable of handling complex, end-to-end workflows. Its platform is designed for teams and businesses seeking scalable, cost-effective AI solutions that can grow over time, reducing the costs and complexities associated with building and maintaining isolated AI tools. By supporting multiple models and fostering collaboration, LobeHub empowers organizations to unlock the full potential of AI, making automation and productivity enhancements more accessible and sustainable.
Pros
- Supports multi-model integration for versatile workflows
- Facilitates collaborative team-based AI development
- Cost-effective and scalable solution for growing needs
- Simplifies building complex, end-to-end AI agents
- Fosters long-term growth and adaptability
Cons
- Potentially steep learning curve for new users
- Limited information on specific pricing tiers
- May require technical expertise for advanced customization
Best for
- • Automating complex customer support workflows
- • Building collaborative AI agents for team projects
- • Enhancing marketing automation with intelligent agents
- • Integrating AI models into product development pipelines
Pricing: Likely follows a freemium or tiered subscription model, with basic features available for free and advanced capabilities, multi-agent support, or enterprise options offered at paid tiers. Specific pricing details are not publicly confirmed.