--- title: "robotgo vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/go-vgo-robotgo-vs-wshobson-agents" tools: ["go-vgo-robotgo", "wshobson-agents"] --- # robotgo vs agents *GraphCanon updated Sep 20, 2026* ## Verdict Pick robotgo if robotGo is a Go-native cross-platform RPA and GUI automation library with support for mouse control, image processing, and window hooking; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot. [robotgo](https://atomai.cc) reports 11k GitHub stars, 960 forks, and 5 open issues, last pushed Sep 9, 2026. [agents](https://sethhobson.com) has 40k stars, 4.2k forks, and 12 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [robotgo's repository](https://github.com/go-vgo/robotgo) and [agents's repository](https://github.com/wshobson/agents). | | [robotgo](/tools/go-vgo-robotgo.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Go Native cross-platform RPA and GUI automation library | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 10,815 | 39,823 | | Forks | 960 | 4,246 | | Open issues | 5 | 12 | | Language | Go | Python | | Adopt for | RobotGo is a Go-native cross-platform RPA and GUI automation library with support for mouse control, image processing, and window hooking. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Computer Vision, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [robotgo](/tools/go-vgo-robotgo.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 10d | 1d | | Open issues (now) | 5 | 12 | | Stars delta | +49 (30d) | +895 (30d) | | Open issues delta | +2 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/go-vgo-robotgo/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: robotgo - **Adopt for:** RobotGo is a Go-native cross-platform RPA and GUI automation library with support for mouse control, image processing, and window hooking. ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose robotgo if… - robotgo is primarily Go; agents is Python. - License: robotgo is Apache-2.0, agents is MIT. - Tags unique to robotgo: ai, auto-test, go, opencv. - Also covers Computer Vision. - You need a tool that integrates seamlessly with existing Go projects and requires minimal setup to automate repetitive tasks on Windows. ### Choose agents if… - agents is primarily Python; robotgo is Go. - License: agents is MIT, robotgo is Apache-2.0. - Tags unique to agents: agent-skills, agentic-ai, prompt-engineering, workflows. - Also covers AI Agents. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments ## When NOT to use robotgo - If your primary requirement involves extensive interaction with C-based applications or systems where a non-native Go library could be more advantageous due to ecosystem support. - You are working in an environment that prohibits the use of Apache-2.0 licensed dependencies, as this would disqualify RobotGo from consideration. ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between robotgo and agents? robotgo: Go Native cross-platform RPA and GUI automation library. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose robotgo over agents? Choose robotgo over agents when robotgo is primarily Go; agents is Python; License: robotgo is Apache-2.0, agents is MIT; Tags unique to robotgo: ai, auto-test, go, opencv; Also covers Computer Vision; You need a tool that integrates seamlessly with existing Go projects and requires minimal setup to automate repetitive tasks on Windows. ### When should I choose agents over robotgo? Choose agents over robotgo when agents is primarily Python; robotgo is Go; License: agents is MIT, robotgo is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, prompt-engineering, workflows; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments. ### When should I avoid robotgo? If your primary requirement involves extensive interaction with C-based applications or systems where a non-native Go library could be more advantageous due to ecosystem support. You are working in an environment that prohibits the use of Apache-2.0 licensed dependencies, as this would disqualify RobotGo from consideration. ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is robotgo or agents more popular on GitHub? agents has more GitHub stars (39,823 vs 10,815). Stars measure visibility, not whether either tool fits your constraints. ### Are robotgo and agents open source? Yes - both are open-source projects on GitHub (robotgo: Apache-2.0, agents: MIT). ### Where can I find alternatives to robotgo or agents? GraphCanon lists graph-backed alternatives at [robotgo alternatives](/tools/go-vgo-robotgo/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([robotgo markdown twin](/tools/go-vgo-robotgo/alternatives.md), [agents markdown twin](/tools/wshobson-agents/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/go-vgo-robotgo-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, robotgo or agents? robotgo: Active. agents: 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 robotgo and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [robotgo trust report](/tools/go-vgo-robotgo/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=go-vgo-robotgo`](/api/graphcanon/graph?tool=go-vgo-robotgo) - 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/_