# dynamiq-ai/dynamiq

Dynamiq is an orchestration framework for agentic AI and LLM applications

Repository: https://github.com/dynamiq-ai/dynamiq
Canonical: https://ross.abutalabs.com/products/dynamiq
Homepage: https://getdynamiq.ai
Language: Python
License: Apache-2.0
License Family: permissive
Topics: agents, ai, generative-ai, gpt, llm, llmops, rag
Last push: 2026-08-25T21:19:53+00:00

## Health v2 (maintenance only)
Score: 85/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 50
- inputs: {"age_days": 706, "days_push": 8, "days_rel": 8, "gap_med": 7.0, "n_releases_24m": 85}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1066, forks 133 (observed 2026-08-28T04:03:26.826411+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: agent-framework, rag, llm-inference, prompt-engineering, workflow-automation, chatbot, sdk
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: python, cross-platform
- tags: llm-orchestration, agentic-ai, llmops, generative-ai, human-in-the-loop, pipelines, ai-agents, retrieval-augmented-generation

## Member repositories
- dynamiq-ai/dynamiq (main) score 85

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:26.826411+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:55:23.993845+00:00, confidence not recorded.
  - readme: https://github.com/dynamiq-ai/dynamiq (fetched 2026-08-28T04:03:26.826411+00:00, sha 86ebf27473a4)
  - homepage: https://getdynamiq.ai (fetched 2026-08-29T12:57:33.787834+00:00, sha 7948006e9900)
  - site_page: https://docs.getdynamiq.ai/ (fetched 2026-08-29T12:57:33.797945+00:00, sha 8d254e4b8459)
  - site_page: https://docs.getdynamiq.ai/docs/platform/workflows/advanced/human-in-the-loop (fetched 2026-08-29T12:57:33.799744+00:00, sha b599eb8e76fe)
  - registry_pypi: https://pypi.org/pypi/dynamiq/json (fetched 2026-08-29T12:57:33.801702+00:00, sha efd51481ec8f)
- Data as of 2026-08-30T08:39:29.467469+00:00.