Star History
Momentum
+16
STARS · LAST 30 DAYS
1
PER DAY
#245
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +16 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
ai-dial-core gained 16 stars in the last 30 days, about 1 a day, and now has 658. It is about 3 years old and has averaged roughly 219 stars a year. It ranks #245 among Java repositories and #3,217 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#2437
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ai-dial-core has maintained a continuous presence across global trending indexes, peaking at #2437. Below is the 30-day activity profile:
💡 Overview
ai-dial-core is an open-source project written in Java: The main component of AI DIAL, which provides unified API to different chat completion and embedding models, assistants, and applications.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-dial, llm. 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 Java 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
$ git clone https://github.com/epam/ai-dial-core.git
cd ai-dial-core⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ai-dial-core coordinates its core functionality through a modular Java 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 ai-dial-core.
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 ai-dial-core using your package manager: `git clone https://github.com/epam/ai-dial-core.git`
Initialize your project workspace or configuration file for ai-dial-core.
Import ai-dial-core into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ai-dial-core --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
epam/ai-dial-core is currently ranked #3,217 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,208 | fif7y/pelmet | Swift | ★ 660 | Compare ↗ |
| #3,208 | Maelic/RelateAnything | Python | ★ 660 | Compare ↗ |
| #3,214 | dstl/Stone-Soup | Python | ★ 659 | Compare ↗ |
| #3,214 | googleapis/google-cloud-cpp | C++ | ★ 659 | Compare ↗ |
| #3,214 | apple/swift-homomorphic-encryption | Swift | ★ 659 | Compare ↗ |
| #3,217 | epam/ai-dial-core This Project | Java | ★ 658 | |
| #3,217 | h5i-dev/h5i | Rust | ★ 658 | Compare ↗ |
| #3,219 | yingpengma/Awesome-Story-Generation | Python | ★ 657 | Compare ↗ |
| #3,219 | rust-glancer/rust-glancer | Rust | ★ 657 | Compare ↗ |
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Frequently Asked Questions
What does ai-dial-core do? +
The main component of AI DIAL, which provides unified API to different chat completion and embedding models, assistants, and applications
What language is ai-dial-core written in? +
The primary language is Java. Topics include: ai-dial, llm.
Is ai-dial-core actively maintained? +
Yes, the last recorded push was on Sep 25, 2026 with 120 open issues being tracked.
How many stars does ai-dial-core have? +
ai-dial-core has 658 stars and 41 forks on GitHub.
How does ai-dial-core rank among GitHub repositories? +
With 658 stars, epam/ai-dial-core is ranked #3,217 globally across all repositories tracked on GitHubRepo and #245 among Java projects.
What license is ai-dial-core distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
