dynamiq-ai/dynamiq

Health v2 · maintenance only

Adoption not part of the score

1066 stars · 133 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Dynamiq is an open-source Python orchestration framework for building agentic AI and LLM applications, covering agents, RAG pipelines, workflows, and human-in-the-loop flows. It is the SDK behind the Dynamiq platform, which adds visual workflow building, deployment, observability, and fine-tuning.

Use cases

• build ai agents in python
• create rag pipelines over my documents
• orchestrate llm workflows with multiple steps
• add human approval steps to agent runs
• build a chatbot backed by a knowledge base
• prototype generative ai applications quickly
• connect llm nodes with tools and prompts

When to choose

• you want a code-first Python framework for agents and RAG pipelines
• you need workflow orchestration with human-in-the-loop approvals
• you want to self-host LLM application infrastructure on your own stack
• you need both an open-source SDK and an optional managed platform

When to avoid

• you need a mature ecosystem comparable to LangChain with extensive integrations
• you want a no-code-only builder without writing Python
• your project is a simple single LLM call where a framework is overkill
• you require long-term stability guarantees from a very large community

Facets

framework · maturity active

agent-framework rag llm-inference prompt-engineering workflow-automation chatbot sdk artificial-intelligence large-language-models developer-tools python cross-platform llm-orchestration agentic-ai llmops generative-ai human-in-the-loop pipelines ai-agents retrieval-augmented-generation

Member repositories

For agents

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