dynamiq-ai/dynamiq
Dynamiq is an orchestration framework for agentic AI and LLM applications
⚡ Executive Summary & Quick Facts
Authoritative Sourcedynamiq is dynamiq is an open-source project written in Python: Dynamiq is an orchestration framework for agentic AI and LLM applications..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), dynamiq-ai/dynamiq has accumulated 1,071 GitHub stars and 152 forks. It is written in Python, licensed under Apache-2.0, and ranks #7,038 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | dynamiq-ai/dynamiq ↗ |
|---|---|
| Primary Category | agents |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 1.1K stars · ⑂ 152 forks · #7,038 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 17 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, dynamiq is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (4 days ago). Supported by 1,071 stars and 152 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/dynamiq-ai/dynamiq?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/dynamiq-ai/dynamiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/dynamiq-ai/dynamiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/dynamiq-ai/dynamiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/dynamiq-ai/dynamiq?utm_source=readme_badge) [](https://githubrepo.cloud/repo/dynamiq-ai/dynamiq?utm_source=readme_badge)Momentum
+27
STARS · LAST 30 DAYS
1
PER DAY
#998
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +27 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
dynamiq gained 27 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 2 years old and has averaged roughly 536 stars a year. It ranks #998 among Python repositories and #7,038 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#9136
BEST RANK
Oct 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
dynamiq has maintained a continuous presence across global trending indexes, peaking at #9136. Below is the 30-day activity profile:
💡 Overview
dynamiq is an open-source project written in Python: Dynamiq is an orchestration framework for agentic AI and LLM applications.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai, generative-ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install dynamiq⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
dynamiq coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with dynamiq.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install dynamiq using your package manager: `pip install dynamiq`
Initialize your project workspace or configuration file for dynamiq.
Import dynamiq into your codebase or invoke it directly from your terminal.
Execute your test suite or run `dynamiq --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
dynamiq-ai/dynamiq is currently ranked #7,038 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,027 | Kotlin/kotlinx-rpc | Kotlin | ★ 1.1K | Compare ↗ |
| #7,027 | Shopify/tophat | Swift | ★ 1.1K | Compare ↗ |
| #7,027 | LeanBitLab/LeanType | Kotlin | ★ 1.1K | Compare ↗ |
| #7,036 | brynary/rack-bug | Ruby | ★ 1.1K | Compare ↗ |
| #7,036 | ovn-kubernetes/ovn-kubernetes | Go | ★ 1.1K | Compare ↗ |
| #7,038 | dynamiq-ai/dynamiq This Project | Python | ★ 1.1K | |
| #7,038 | tristanisham/zvm | Go | ★ 1.1K | Compare ↗ |
| #7,040 | spring-cloud/spring-cloud-stream | Java | ★ 1.1K | Compare ↗ |
| #7,040 | graphiti-api/graphiti | Ruby | ★ 1.1K | Compare ↗ |
| #7,040 | NeuroTechX/moabb | Python | ★ 1.1K | Compare ↗ |
| #7,040 | GoogleCloudPlatform/k8s-config-connector | Go | ★ 1.1K | Compare ↗ |
Frequently Asked Questions
What does dynamiq do? +
Dynamiq is an orchestration framework for agentic AI and LLM applications
Is dynamiq actively maintained in 2026? +
Yes, dynamiq is actively maintained. The latest code push was recorded on Oct 26, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,071 stars and 17 open issues.
What language is dynamiq written in? +
The primary language is Python. Topics include: agents, ai, generative-ai, gpt, llm.
How many stars does dynamiq have? +
dynamiq has 1,071 stars and 152 forks on GitHub.
How does dynamiq rank among GitHub repositories? +
With 1,071 stars, dynamiq-ai/dynamiq is ranked #7,038 globally across all repositories tracked on GitHubRepo and #998 among Python projects.
What license is dynamiq distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
