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Dynamiq

Dynamiq is an Apache-2.0-licensed Python framework for orchestrating agentic AI and LLM applications, including retrieval-augmented generation workflows. Its examples show developers how to define LLM nodes, tool-using agents and workflows that coordinate agents.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Dynamiq — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Dynamiq when building application-side orchestration for LLM calls, RAG workflows or agents, rather than looking for a finished hosted agent product.

Who it is for

  • Python developers building AI-powered applications.
  • Teams designing LLM or RAG workflows.
  • Developers who want to compose agents with tools or coordinate multiple agents.

Documented uses

  • Connect a prompt and input data to an LLM node.
  • Define an agent that can use an external code-interpreter tool.
  • Create a workflow that runs two agents with the same input and returns their outputs.
Before you choose

Requirements & limits

The README specifies Python 3.10 or later and documents installation through pip or from a repository checkout with uv. It identifies the project as Apache-2.0 licensed.

  • Dynamiq is a developer framework, so users need to implement their application in Python.
  • The basic LLM example configures an OpenAI connection and API key; the ReAct example also configures E2B credentials for its interpreter tool.
  • The README points to separate documentation for additional examples and detailed guides.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the repository with uv

Prepare a local checkout using the repository's documented source setup steps.

Before you start

  • Python 3.10 or later.
  • Git and uv.

Steps

  1. Clone https://github.com/dynamiq-ai/dynamiq.git.

  2. Change into the dynamiq directory.

  3. Run the command below.

    Documented command
    uv sync

Expected outcome

The documented source setup synchronizes the project's dependencies.

Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
DynamiqConnect a prompt and input data to an LLM node.CLI, Self-hosted, ServerThe README specifies Python 3.10 or later and documents installation through pip or from a repository checkout with uv. It identifies the project as Apache-2.0 licensed.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
9 October 2026
Original website title
dynamiq-ai/dynamiq · Official homepage title · retained in its source language
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