Comparison
dust vs agents-towards-production
Verdict
Pick dust if dust, a TypeScript and Rust-based AI agent platform for workflow acceleration; pick agents-towards-production if agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr.
Markdown twin · dust alternatives · agents-towards-production alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | dust | agents-towards-production |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 15, 2026 · github_public_v1 | Very active (3d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 15, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 13, 2026 · 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-towards-production
- End-to-end, code-first tutorials for building production-grade GenAI agents
Stars
- dust
- 1.4k
- agents-towards-production
- 21k
Forks
- dust
- 329
- agents-towards-production
- 2.8k
Open issues
- dust
- 315
- agents-towards-production
- 15
Language
- dust
- TypeScript
- agents-towards-production
- Jupyter Notebook
Adopt for
- dust
- Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration.
- agents-towards-production
- agents-towards-production is an open-source project focused on providing comprehensive, step-by-step tutorials for developing AI agents from the prototype stage to enterprise-ready deployment. This guide includes best-pr
Persona
- dust
- -
- agents-towards-production
- -
Runtime
- dust
- -
- agents-towards-production
- -
License
- dust
- MIT
- agents-towards-production
- Other
Last pushed
- dust
- Aug 15, 2026
- agents-towards-production
- Aug 15, 2026
Categories
- dust
- AI Agents
- agents-towards-production
- AI Agents
Trust and health
Days since push
- dust
- 0d
- agents-towards-production
- 3d
Open issues (now)
- dust
- 315
- agents-towards-production
- 15
Stars delta
- dust
- +23 (30d)
- agents-towards-production
- +191 (30d)
Open issues delta
- dust
- +68 (30d)
- agents-towards-production
- +4 (30d)
Owner type
- dust
- Organization
- agents-towards-production
- User
Full report
- dust
- Trust report
- agents-towards-production
- Trust report
Choose dust if…
- dust is primarily TypeScript; agents-towards-production is Jupyter Notebook.
- License: dust is MIT, agents-towards-production is Other.
- 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-towards-production if…
- agents-towards-production is primarily Jupyter Notebook; dust is TypeScript.
- License: agents-towards-production is Other, dust is MIT.
- Tags unique to agents-towards-production: agent-framework, agentic-ai, deployment, genai.
- * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.
When NOT to use agents-towards-production
- * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures.
- * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation.
- * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may,
- other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.
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 Sep 20, 2026
- GitHub forks (dust-tt/dust) · observed Sep 20, 2026
- Last push (dust-tt/dust) · observed Aug 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NirDiamant/agents-towards-production) · observed Sep 20, 2026
- GitHub forks (NirDiamant/agents-towards-production) · observed Sep 20, 2026
- Last push (NirDiamant/agents-towards-production) · observed Aug 15, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Sep 13, 2026
GitHub stars on cards: dust 1.4k · agents-towards-production 21k (synced Sep 20, 2026).
Common questions
- What is the difference between dust and agents-towards-production?
- dust: Custom AI agent platform to speed up your work.. agents-towards-production: End-to-end, code-first tutorials for building production-grade GenAI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose dust over agents-towards-production?
- Choose dust over agents-towards-production when dust is primarily TypeScript; agents-towards-production is Jupyter Notebook; License: dust is MIT, agents-towards-production is Other; 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-towards-production over dust?
- Choose agents-towards-production over dust when agents-towards-production is primarily Jupyter Notebook; dust is TypeScript; License: agents-towards-production is Other, dust is MIT; Tags unique to agents-towards-production: agent-framework, agentic-ai, deployment, genai; * When you aim to deploy AI agents using cloud services such as AWS Bedrock AgentCore Runtime, where automatic infrastructure management and standardized communication patterns are key.
- 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-towards-production?
- * If your enterprise strictly forbids using cloud services; this tool emphasizes both cloud and on-prem deployment strategies but may not fit entirely on-prem infrastructures. * When you are looking for a fully managed service without code-first or tutorial-guided approaches, as 'agents-towards-production' focuses heavily on hands-on tutorials and end-to-end guide creation. * If your specific AI agent workload does not align with the foundational deployment patterns covered (containerization, AWS Bedrock, Ollama on-prem solutions, Runpod GPU deployment), other tools may, other_remarks_and_conditions_of_use_or_nonuse_examples_with_links_or_code_snippets_e.g_github_issues__pull_requests__branch_names_etc_that_affect_anyoftheabove_can_be_cited_if_pertinent.
- Is dust or agents-towards-production more popular on GitHub?
- agents-towards-production has more GitHub stars (21,298 vs 1,438). Stars measure visibility, not whether either tool fits your constraints.
- Are dust and agents-towards-production open source?
- Yes - both are open-source projects on GitHub (dust: MIT, agents-towards-production: Other).
- Where can I find alternatives to dust or agents-towards-production?
- GraphCanon lists graph-backed alternatives at dust alternatives and agents-towards-production alternatives (dust markdown twin, agents-towards-production 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-towards-production?
- dust: Very active. agents-towards-production: 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-towards-production?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dust trust report; agents-towards-production trust report.