--- title: "agentset vs JustHireMe" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-vasu-devs-justhireme" tools: ["agentset-ai-agentset", "vasu-devs-justhireme"] --- # agentset vs JustHireMe *GraphCanon updated Aug 21, 2026* ## Verdict Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick JustHireMe if local-first AI for job seeking with scraping, ranking fit, and personalized application materials. [agentset](https://agentset.ai) reports 2.0k GitHub stars, 183 forks, and 13 open issues, last pushed Jul 16, 2026. [JustHireMe](https://www.JustHireMe.ai) has 2.2k stars, 362 forks, and 38 open issues, last pushed Aug 12, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [JustHireMe's repository](https://github.com/vasu-devs/JustHireMe). | | [agentset](/tools/agentset-ai-agentset.md) | [JustHireMe](/tools/vasu-devs-justhireme.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials. | | Stars | 2,035 | 2,233 | | Forks | 183 | 362 | | Open issues | 13 | 38 | | Language | TypeScript | Python | | Adopt for | AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. | Local-first AI for job seeking with scraping, ranking fit, and personalized application materials. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | AGPL-3.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [JustHireMe](/tools/vasu-devs-justhireme.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 6d | 9d | | Open issues (now) | 13 | 38 | | Stars delta | Unknown | +63 (30d) | | Open issues delta | Unknown | +5 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/vasu-devs-justhireme/trust.md) | ## Decision facts: agentset - **Pricing:** freemium - Free to use as it is open-source. - **Requirements:** Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities. - **Adopt for:** AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. - **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights. ## Decision facts: JustHireMe - **Adopt for:** Local-first AI for job seeking with scraping, ranking fit, and personalized application materials. ## Choose when ### Choose agentset if… - agentset is primarily TypeScript; JustHireMe is Python. - License: agentset is MIT, JustHireMe is AGPL-3.0. - Pricing: Free to use as it is open-source.. - Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.. - Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose JustHireMe if… - JustHireMe is primarily Python; agentset is TypeScript. - License: JustHireMe is AGPL-3.0, agentset is MIT. - Tags unique to JustHireMe: agents, ai, hireme, hiring. - Also covers Vector Databases. - Need localized job listings not found on major platforms ## When NOT to use agentset - - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ## When NOT to use JustHireMe - Seeking cloud-based solutions without local deployment capabilities - Focus on industries with very specific or confidential application processes ## Common questions ### What is the difference between agentset and JustHireMe? agentset: The open-source RAG platform with built-in citations and support for deep research. JustHireMe: Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over JustHireMe? Choose agentset over JustHireMe when agentset is primarily TypeScript; JustHireMe is Python; License: agentset is MIT, JustHireMe is AGPL-3.0; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose JustHireMe over agentset? Choose JustHireMe over agentset when JustHireMe is primarily Python; agentset is TypeScript; License: JustHireMe is AGPL-3.0, agentset is MIT; Tags unique to JustHireMe: agents, ai, hireme, hiring; Also covers Vector Databases; Need localized job listings not found on major platforms. ### When should I avoid agentset? - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ### When should I avoid JustHireMe? Seeking cloud-based solutions without local deployment capabilities Focus on industries with very specific or confidential application processes ### Is agentset or JustHireMe more popular on GitHub? JustHireMe has more GitHub stars (2,233 vs 2,035). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and JustHireMe open source? Yes - both are open-source projects on GitHub (agentset: MIT, JustHireMe: AGPL-3.0). ### Where can I find alternatives to agentset or JustHireMe? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [JustHireMe alternatives](/tools/vasu-devs-justhireme/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [JustHireMe markdown twin](/tools/vasu-devs-justhireme/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agentset-ai-agentset-vs-vasu-devs-justhireme.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or JustHireMe? agentset: Very active. JustHireMe: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentset and JustHireMe? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [JustHireMe trust report](/tools/vasu-devs-justhireme/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentset-ai-agentset`](/api/graphcanon/graph?tool=agentset-ai-agentset) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_