--- title: "holaOS vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/holaboss-ai-holaos-vs-wshobson-agents" tools: ["holaboss-ai-holaos", "wshobson-agents"] --- # holaOS vs agents *GraphCanon updated Aug 26, 2026* ## Verdict Pick holaOS if holaOS is tailored to work environments seeking a local-first AI assistant that retains context indefinitely; 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. [holaOS](https://holaos.ai) reports 11k GitHub stars, 712 forks, and 6 open issues, last pushed Aug 21, 2026. [agents](https://sethhobson.com) has 39k stars, 4.1k forks, and 5 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [holaOS's repository](https://github.com/holaboss-ai/holaOS) and [agents's repository](https://github.com/wshobson/agents). | | [holaOS](/tools/holaboss-ai-holaos.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Local-first super agent for work that learns and retains context. | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 10,870 | 38,928 | | Forks | 712 | 4,145 | | Open issues | 6 | 5 | | Language | TypeScript | Python | | Adopt for | HolaOS is tailored to work environments seeking a local-first AI assistant that retains context indefinitely. | 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 | Other | MIT | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [holaOS](/tools/holaboss-ai-holaos.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 4d | 1d | | Open issues (now) | 6 | 5 | | Stars delta | +5.3k (30d) | +860 (30d) | | Open issues delta | +4 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/holaboss-ai-holaos/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: holaOS - **Adopt for:** HolaOS is tailored to work environments seeking a local-first AI assistant that retains context indefinitely. ## 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 holaOS if… - holaOS is primarily TypeScript; agents is Python. - License: holaOS is Other, agents is MIT. - Tags unique to holaOS: agent, ai-agent, local-first, memory. - When you require an agent that operates entirely locally without relying on cloud storage to maintain user privacy and data security. ### Choose agents if… - agents is primarily Python; holaOS is TypeScript. - License: agents is MIT, holaOS is Other. - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - Also covers Developer Tools. - 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 holaOS - Avoid if your setup strictly requires cloud integration or synchronization across multiple devices which holaOS does not offer due to its local-first focus. - Not suitable when a mobile-friendly solution is needed as the tool supports workspace contexts primarily and may lack mobility-specific features. ## 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 holaOS and agents? holaOS: Local-first super agent for work that learns and retains context.. 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 holaOS over agents? Choose holaOS over agents when holaOS is primarily TypeScript; agents is Python; License: holaOS is Other, agents is MIT; Tags unique to holaOS: agent, ai-agent, local-first, memory; When you require an agent that operates entirely locally without relying on cloud storage to maintain user privacy and data security. ### When should I choose agents over holaOS? Choose agents over holaOS when agents is primarily Python; holaOS is TypeScript; License: agents is MIT, holaOS is Other; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers Developer Tools; 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 holaOS? Avoid if your setup strictly requires cloud integration or synchronization across multiple devices which holaOS does not offer due to its local-first focus. Not suitable when a mobile-friendly solution is needed as the tool supports workspace contexts primarily and may lack mobility-specific features. ### 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 holaOS or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 10,870). Stars measure visibility, not whether either tool fits your constraints. ### Are holaOS and agents open source? Yes - both are open-source projects on GitHub (holaOS: Other, agents: MIT). ### Where can I find alternatives to holaOS or agents? GraphCanon lists graph-backed alternatives at [holaOS alternatives](/tools/holaboss-ai-holaos/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([holaOS markdown twin](/tools/holaboss-ai-holaos/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/holaboss-ai-holaos-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, holaOS or agents? holaOS: Very 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 holaOS and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [holaOS trust report](/tools/holaboss-ai-holaos/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=holaboss-ai-holaos`](/api/graphcanon/graph?tool=holaboss-ai-holaos) - 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/_