--- title: "dust vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dust-tt-dust-vs-wshobson-agents" tools: ["dust-tt-dust", "wshobson-agents"] --- # dust vs agents *GraphCanon updated Aug 19, 2026* ## Verdict Pick dust if dust, a TypeScript and Rust-based AI agent platform for workflow acceleration; 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. [dust](https://dust.tt) reports 1.4k GitHub stars, 329 forks, and 315 open issues, last pushed Aug 15, 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 [dust's repository](https://github.com/dust-tt/dust) and [agents's repository](https://github.com/wshobson/agents). | | [dust](/tools/dust-tt-dust.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Custom AI agent platform to speed up your work. | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 1,438 | 38,928 | | Forks | 329 | 4,145 | | Open issues | 315 | 5 | | Language | TypeScript | Python | | Adopt for | Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration. | 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 | MIT | MIT | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dust](/tools/dust-tt-dust.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 315 | 5 | | Stars delta | +23 (30d) | +860 (30d) | | Open issues delta | +68 (30d) | +2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/dust-tt-dust/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: dust - **Adopt for:** Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration. ## 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 dust if… - dust is primarily TypeScript; agents is Python. - Tags unique to dust: agents, large language models, llm, rust. - dust ships Docker support for self-hosted deployment. - Need customization in AI agents with TypeScript and Rust support ### Choose agents if… - agents is primarily Python; dust is TypeScript. - 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 dust - Prefer fully managed AI services without needing low-level tuning options - Require integration with frameworks that do not support TypeScript or Rust ## 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 dust and agents? dust: Custom AI agent platform to speed up your work.. 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 dust over agents? Choose dust over agents when dust is primarily TypeScript; agents is Python; Tags unique to dust: agents, large language models, llm, rust; dust ships Docker support for self-hosted deployment; Need customization in AI agents with TypeScript and Rust support. ### When should I choose agents over dust? Choose agents over dust when agents is primarily Python; dust is TypeScript; 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 dust? Prefer fully managed AI services without needing low-level tuning options Require integration with frameworks that do not support TypeScript or Rust ### 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 dust or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 1,438). Stars measure visibility, not whether either tool fits your constraints. ### Are dust and agents open source? Yes - both are open-source projects on GitHub (dust: MIT, agents: MIT). ### Where can I find alternatives to dust or agents? GraphCanon lists graph-backed alternatives at [dust alternatives](/tools/dust-tt-dust/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([dust markdown twin](/tools/dust-tt-dust/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/dust-tt-dust-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dust or agents? dust: 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 dust and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dust trust report](/tools/dust-tt-dust/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dust-tt-dust`](/api/graphcanon/graph?tool=dust-tt-dust) - 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/_