--- title: "agentsys vs create-pull-request" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-sh-agentsys-vs-peter-evans-create-pull-request" tools: ["agent-sh-agentsys", "peter-evans-create-pull-request"] --- # agentsys vs create-pull-request *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentsys if agentsys supports automation through AI agents that handle various coding environments with plugins and skills; pick create-pull-request if automates committing changes and pull request creation for specified workflows in TypeScript using GitHub Actions. [agentsys](https://agent-sh.github.io/agentsys/) reports 985 GitHub stars, 115 forks, and 0 open issues, last pushed Sep 13, 2026. [create-pull-request](https://github.com/peter-evans/create-pull-request) has 2.8k stars, 549 forks, and 23 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [agentsys's repository](https://github.com/agent-sh/agentsys) and [create-pull-request's repository](https://github.com/peter-evans/create-pull-request). | | [agentsys](/tools/agent-sh-agentsys.md) | [create-pull-request](/tools/peter-evans-create-pull-request.md) | | --- | --- | --- | | Tagline | AI writes code to automate workflows and tasks | GitHub action for creating a pull request | | Stars | 985 | 2,849 | | Forks | 115 | 549 | | Open issues | 0 | 23 | | Language | JavaScript | TypeScript | | Adopt for | agentsys supports automation through AI agents that handle various coding environments with plugins and skills. | Automates committing changes and pull request creation for specified workflows in TypeScript using GitHub Actions. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentsys](/tools/agent-sh-agentsys.md) | [create-pull-request](/tools/peter-evans-create-pull-request.md) | | --- | --- | --- | | Days since push | 6d | 2d | | Open issues (now) | 0 | 23 | | Stars delta | +23 (30d) | +21 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agent-sh-agentsys/trust.md) | [trust report](/tools/peter-evans-create-pull-request/trust.md) | ## Decision facts: agentsys - **Pricing:** freemium - MIT licensed tool offers open access for free but may include premium plugins or skills. - **Requirements:** Min 2 GB RAM; Requires modern JavaScript environment to run effectively.; Ensure internet connectivity due to reliance on plugins and skills that may require update downloads or external API access for certain functionalities. - **Adopt for:** agentsys supports automation through AI agents that handle various coding environments with plugins and skills. ## Decision facts: create-pull-request - **Requirements:** Does not require a Docker environment. - **Adopt for:** Automates committing changes and pull request creation for specified workflows in TypeScript using GitHub Actions. ## Choose when ### Choose agentsys if… - agentsys is primarily JavaScript; create-pull-request is TypeScript. - Pricing: MIT licensed tool offers open access for free but may include premium plugins or skills.. - Requirements: Min 2 GB RAM; Requires modern JavaScript environment to run effectively.; Ensure internet connectivity due to reliance on plugins and skills that may require update downloads or external API access for certain functionalities.. - Tags unique to agentsys: agent, ai, autonomous-agents, claude-code. - Also covers AI Agents. - Use when you need to automate complex workflows in JavaScript-heavy projects, as it integrates well with JavaScript environments like Claude Code. ### Choose create-pull-request if… - create-pull-request is primarily TypeScript; agentsys is JavaScript. - Requirements: Does not require a Docker environment.. - Tags unique to create-pull-request: actions-workspace, ci-cd, create-pull-request, github-action. - - If your project workflow includes automated modifications to files within the repository and you need these changes to be automatically committed and a pull request created. ## When NOT to use agentsys - Avoid for teams not proficient in JavaScript or those preferring languages where agentsys does not provide comparable support. - Do not use if your project scope is better served by competitors with more specialized skill sets that align closely with niche requirements, as opposed to the general utility approach of agentsys. ## When NOT to use create-pull-request - - If your workflow does not involve automating commits and creation of pull requests within the Actions workspace. - - When manual handling of changes and PRs is required, as this tool is designed for automated operations without human intervention for each commit or PR. ## Common questions ### What is the difference between agentsys and create-pull-request? agentsys: AI writes code to automate workflows and tasks. create-pull-request: GitHub action for creating a pull request. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentsys over create-pull-request? Choose agentsys over create-pull-request when agentsys is primarily JavaScript; create-pull-request is TypeScript; Pricing: MIT licensed tool offers open access for free but may include premium plugins or skills.; Requirements: Min 2 GB RAM; Requires modern JavaScript environment to run effectively.; Ensure internet connectivity due to reliance on plugins and skills that may require update downloads or external API access for certain functionalities.; Tags unique to agentsys: agent, ai, autonomous-agents, claude-code; Also covers AI Agents; Use when you need to automate complex workflows in JavaScript-heavy projects, as it integrates well with JavaScript environments like Claude Code. ### When should I choose create-pull-request over agentsys? Choose create-pull-request over agentsys when create-pull-request is primarily TypeScript; agentsys is JavaScript; Requirements: Does not require a Docker environment.; Tags unique to create-pull-request: actions-workspace, ci-cd, create-pull-request, github-action; - If your project workflow includes automated modifications to files within the repository and you need these changes to be automatically committed and a pull request created. ### When should I avoid agentsys? Avoid for teams not proficient in JavaScript or those preferring languages where agentsys does not provide comparable support. Do not use if your project scope is better served by competitors with more specialized skill sets that align closely with niche requirements, as opposed to the general utility approach of agentsys. ### When should I avoid create-pull-request? - If your workflow does not involve automating commits and creation of pull requests within the Actions workspace. - When manual handling of changes and PRs is required, as this tool is designed for automated operations without human intervention for each commit or PR. ### Is agentsys or create-pull-request more popular on GitHub? create-pull-request has more GitHub stars (2,849 vs 985). Stars measure visibility, not whether either tool fits your constraints. ### Are agentsys and create-pull-request open source? Yes - both are open-source projects on GitHub (agentsys: MIT, create-pull-request: MIT). ### Where can I find alternatives to agentsys or create-pull-request? GraphCanon lists graph-backed alternatives at [agentsys alternatives](/tools/agent-sh-agentsys/alternatives) and [create-pull-request alternatives](/tools/peter-evans-create-pull-request/alternatives) ([agentsys markdown twin](/tools/agent-sh-agentsys/alternatives.md), [create-pull-request markdown twin](/tools/peter-evans-create-pull-request/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/agent-sh-agentsys-vs-peter-evans-create-pull-request.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentsys or create-pull-request? agentsys: Very active. create-pull-request: 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 agentsys and create-pull-request? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentsys trust report](/tools/agent-sh-agentsys/trust); [create-pull-request trust report](/tools/peter-evans-create-pull-request/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-sh-agentsys`](/api/graphcanon/graph?tool=agent-sh-agentsys) - 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/_