Comparison
dust vs agentflow
Verdict
Pick dust if dust, a TypeScript and Rust-based AI agent platform for workflow acceleration; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Markdown twin · dust alternatives · agentflow alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | dust | agentflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Dormant (1100d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 1w · 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.
- agentflow
- Complex LLM Workflows from Simple JSON
Stars
- dust
- 1.4k
- agentflow
- 320
Forks
- dust
- 329
- agentflow
- 27
Open issues
- dust
- 315
- agentflow
- 13
Language
- dust
- TypeScript
- agentflow
- Python
Adopt for
- dust
- Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration.
- agentflow
- Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations.
Persona
- dust
- -
- agentflow
- -
Runtime
- dust
- -
- agentflow
- -
License
- dust
- MIT
- agentflow
- MIT
Last pushed
- dust
- Aug 15, 2026
- agentflow
- Aug 11, 2023
Categories
- dust
- AI Agents
- agentflow
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- dust
- Very active (96%)
- agentflow
- Dormant (18%)
Days since push
- dust
- 0d
- agentflow
- 1100d
Open issues (now)
- dust
- 315
- agentflow
- 13
Stars delta
- dust
- +23 (30d)
- agentflow
- -1 (30d)
Open issues delta
- dust
- +68 (30d)
- agentflow
- 0 (30d)
Owner type
- dust
- Organization
- agentflow
- User
Full report
- dust
- Trust report
- agentflow
- Trust report
Choose dust if…
- dust is primarily TypeScript; agentflow is Python.
- Tags unique to dust: agents, 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 agentflow if…
- agentflow is primarily Python; dust is TypeScript.
- Tags unique to agentflow: json, python, workflow-management.
- Also covers LLM Frameworks.
- When you need to rapidly prototype LLM workflows with minimal coding via JSON configs
When NOT to use agentflow
- Avoid if requiring advanced customization that goes beyond basic JSON configurations
- Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dust-tt/dust) · observed Aug 15, 2026
- GitHub forks (dust-tt/dust) · observed Aug 15, 2026
- Last push (dust-tt/dust) · observed Aug 15, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (simonmesmith/agentflow) · observed Aug 16, 2026
- GitHub forks (simonmesmith/agentflow) · observed Aug 16, 2026
- Last push (simonmesmith/agentflow) · observed Aug 11, 2023
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dust 1.4k · agentflow 320 (synced Aug 15, 2026).
Common questions
- What is the difference between dust and agentflow?
- dust: Custom AI agent platform to speed up your work.. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories.
- When should I choose dust over agentflow?
- Choose dust over agentflow when dust is primarily TypeScript; agentflow is Python; Tags unique to dust: agents, llm, rust; dust ships Docker support for self-hosted deployment; Need customization in AI agents with TypeScript and Rust support.
- When should I choose agentflow over dust?
- Choose agentflow over dust when agentflow is primarily Python; dust is TypeScript; Tags unique to agentflow: json, python, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs.
- 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 agentflow?
- Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution
- Is dust or agentflow more popular on GitHub?
- dust has more GitHub stars (1,438 vs 320). Stars measure visibility, not whether either tool fits your constraints.
- Are dust and agentflow open source?
- Yes - both are open-source projects on GitHub (dust: MIT, agentflow: MIT).
- Where can I find alternatives to dust or agentflow?
- GraphCanon lists graph-backed alternatives at dust alternatives and agentflow alternatives (dust markdown twin, agentflow 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 agentflow?
- dust: Very active. agentflow: Dormant. 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 agentflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dust trust report; agentflow trust report.