Enterprise DNA
O Open Source Orchestration medium

Dust

by Community

Custom AI agent platform to speed up your work.

D

OSS

Dust

Added 1 June 2026

#agents #large-language-models #llm #rust

Overview

Dust is an open-source orchestration platform for building custom AI agents. Built in TypeScript, it allows developers to compose multi-step workflows that integrate language models with external tools and data sources.

Best for

Best for
Developers who want an open-source, TypeScript-native framework for building custom agent orchestration pipelines.

Use cases

  • Orchestrating multi-step agent workflows with conditional logic
  • Integrating LLM calls with external APIs and databases
  • Building and testing custom autonomous agents

Notes

Dust is an open-source orchestration platform for building custom AI agents. Built in TypeScript, it allows developers to compose multi-step workflows that integrate language models with external tools and data sources.

1,369 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

  • Orchestrating multi-step agent workflows with conditional logic
  • Integrating LLM calls with external APIs and databases
  • Building and testing custom autonomous agents

Pros

  • Open source with a permissive license enables customization
  • TypeScript codebase provides type safety and developer ergonomics
  • Active community with over 1,300 GitHub stars signals ongoing development

Cons

  • Self-hosted deployment requires operational overhead
  • Smaller ecosystem of pre-built integrations compared to established platforms
  • Documentation and examples may be less comprehensive than commercial alternatives

Indexed from awesome-langchain and enriched against its public facts.

Pros

  • Open source with a permissive license enables customization
  • TypeScript codebase provides type safety and developer ergonomics
  • Active community with over 1,300 GitHub stars signals ongoing development

Cons

  • Self-hosted deployment requires operational overhead
  • Smaller ecosystem of pre-built integrations compared to established platforms
  • Documentation and examples may be less comprehensive than commercial alternatives
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