--- title: "serena vs career-ops" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/oraios-serena-vs-santifer-career-ops" tools: ["oraios-serena", "santifer-career-ops"] --- # serena vs career-ops *GraphCanon updated Oct 11, 2026* ## Verdict Pick serena if serena is an advanced tool aimed at enhancing coding tasks through semantic retrieval and editing capabilities, designed for integration with AI agents; pick career-ops if career-ops is an open-source AI job search tool designed to automate scanning job portals in the tech industry, scoring job listings for suitability, and customizing resumes, all run from a CLI interface. [serena](https://oraios.github.io/serena) reports 28k GitHub stars, 1.9k forks, and 111 open issues, last pushed Aug 18, 2026. [career-ops](https://career-ops.org) has 72k stars, 14k forks, and 537 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [serena's repository](https://github.com/oraios/serena) and [career-ops's repository](https://github.com/santifer/career-ops). | | [serena](/tools/oraios-serena.md) | [career-ops](/tools/santifer-career-ops.md) | | --- | --- | --- | | Tagline | A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent | Open-source AI job search tool that automates the process of scanning job portals, scoring listings, and tailoring CVs for applicants. | | Stars | 28,200 | 72,182 | | Forks | 1,886 | 13,600 | | Open issues | 111 | 537 | | Language | Python | JavaScript | | Adopt for | Serena is an advanced tool aimed at enhancing coding tasks through semantic retrieval and editing capabilities, designed for integration with AI agents. | career-ops is an open-source AI job search tool designed to automate scanning job portals in the tech industry, scoring job listings for suitability, and customizing resumes, all run from a CLI interface. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [serena](/tools/oraios-serena.md) | [career-ops](/tools/santifer-career-ops.md) | | --- | --- | --- | | Open issues (now) | 111 | 537 | | Stars delta | +1.6k (30d) | +8.7k (30d) | | Open issues delta | -1 (30d) | +260 (30d) | | Full report | [trust report](/tools/oraios-serena/trust.md) | [trust report](/tools/santifer-career-ops/trust.md) | ## Decision facts: serena - **Adopt for:** Serena is an advanced tool aimed at enhancing coding tasks through semantic retrieval and editing capabilities, designed for integration with AI agents. ## Decision facts: career-ops - **Pricing:** freemium - The tool is open source and distributed under the MIT license, free to use. However, premium services or integrations might be available for additional costs. - **Adopt for:** career-ops is an open-source AI job search tool designed to automate scanning job portals in the tech industry, scoring job listings for suitability, and customizing resumes, all run from a CLI interface. ## Choose when ### Choose serena if… - serena is primarily Python; career-ops is JavaScript. - Tags unique to serena: agent, ai-coding, language-server, programming. - You are working within a JetBrains IDE and want to leverage Serena's integrated tools for better code understanding and manipulation. ### Choose career-ops if… - career-ops is primarily JavaScript; serena is Python. - Pricing: The tool is open source and distributed under the MIT license, free to use. However, premium services or integrations might be available for additional costs.. - Tags unique to career-ops: ai, ai-agent, careerops, job-hunting. - When you are actively searching for tech-related jobs and need tools to streamline resume tailoring and application tracking on your local machine. ## When NOT to use serena - If your preferred IDE is not JetBrains, as other integrations may require more manual configuration and might not be fully supported. - You are looking for a generic code editor enhancement tool that does not need to interface with specific AI agents or MCP clients. ## When NOT to use career-ops - Avoid using this tool if you prefer web-based job search solutions and do not want to manage the application locally on your machine. - Career-ops may not be suitable for users looking for robust automation of resume creation from scratch, as it focuses more on tailoring existing CVs. ## Common questions ### What is the difference between serena and career-ops? serena: A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent. career-ops: Open-source AI job search tool that automates the process of scanning job portals, scoring listings, and tailoring CVs for applicants.. See the comparison table for live GitHub stats and shared categories. ### When should I choose serena over career-ops? Choose serena over career-ops when serena is primarily Python; career-ops is JavaScript; Tags unique to serena: agent, ai-coding, language-server, programming; You are working within a JetBrains IDE and want to leverage Serena's integrated tools for better code understanding and manipulation. ### When should I choose career-ops over serena? Choose career-ops over serena when career-ops is primarily JavaScript; serena is Python; Pricing: The tool is open source and distributed under the MIT license, free to use. However, premium services or integrations might be available for additional costs.; Tags unique to career-ops: ai, ai-agent, careerops, job-hunting; When you are actively searching for tech-related jobs and need tools to streamline resume tailoring and application tracking on your local machine. ### When should I avoid serena? If your preferred IDE is not JetBrains, as other integrations may require more manual configuration and might not be fully supported. You are looking for a generic code editor enhancement tool that does not need to interface with specific AI agents or MCP clients. ### When should I avoid career-ops? Avoid using this tool if you prefer web-based job search solutions and do not want to manage the application locally on your machine. Career-ops may not be suitable for users looking for robust automation of resume creation from scratch, as it focuses more on tailoring existing CVs. ### Is serena or career-ops more popular on GitHub? career-ops has more GitHub stars (72,182 vs 28,200). Stars measure visibility, not whether either tool fits your constraints. ### Are serena and career-ops open source? Yes - both are open-source projects on GitHub (serena: MIT, career-ops: MIT). ### Where can I find alternatives to serena or career-ops? GraphCanon lists graph-backed alternatives at [serena alternatives](/tools/oraios-serena/alternatives) and [career-ops alternatives](/tools/santifer-career-ops/alternatives) ([serena markdown twin](/tools/oraios-serena/alternatives.md), [career-ops markdown twin](/tools/santifer-career-ops/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/oraios-serena-vs-santifer-career-ops.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, serena or career-ops? serena: Very active. career-ops: Very 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 serena and career-ops? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [serena trust report](/tools/oraios-serena/trust); [career-ops trust report](/tools/santifer-career-ops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=oraios-serena`](/api/graphcanon/graph?tool=oraios-serena) - 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/_