Home/Compare/dust vs agents

Comparison

dust vs agents

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.

Markdown twin · dust alternatives · agents alternatives

GraphCanon updated 5d

dust logo

dust

dust-tt/dust

1.4kpushed Aug 15, 2026
vs
agents logo

agents

wshobson/agents

39kpushed Aug 18, 2026

Trust & integrity

Signaldustagents
Maintenance
Very active (0d since push)
As of 1w · github_public_v1
Very active (1d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Personal account
As of 5d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

dust
Custom AI agent platform to speed up your work.
agents
Multi-harness agentic plugin marketplace for various AI agents

Stars

dust
1.4k
agents
39k

Forks

dust
329
agents
4.1k

Open issues

dust
315
agents
5

Language

dust
TypeScript
agents
Python

Adopt for

dust
Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration.
agents
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

dust
-
agents
-

Runtime

dust
-
agents
-

License

dust
MIT
agents
MIT

Last pushed

dust
Aug 15, 2026
agents
Aug 18, 2026

Categories

dust
AI Agents
agents
AI Agents, Developer Tools

Trust and health

Days since push

dust
0d
agents
1d

Open issues (now)

dust
315
agents
5

Stars delta

dust
+23 (30d)
agents
+860 (30d)

Open issues delta

dust
+68 (30d)
agents
+2 (30d)

Owner type

dust
Organization
agents
User

Full report

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

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

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 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

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dust 1.4k · agents 39k (synced Aug 15, 2026).

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 and agents alternatives (dust markdown twin, agents markdown twin), 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 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; agents trust report.

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