Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#463
MOST-STARRED Java
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
EDDI gained 10 stars in the last 30 days, about 1 a day, and now has 380. It is about 10 years old and has averaged roughly 38 stars a year. It ranks #463 among Java repositories and #5,627 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#5138
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
EDDI has maintained a continuous presence across global trending indexes, peaking at #5138. Below is the 30-day activity profile:
💡 Overview
EDDI is an open-source project written in Java: Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
Engineered for speed, consistency, and developer ease, it solves common hurdles in a2a, ai-agents, ai-orchestration. 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
$ docker pull labsai/EDDI⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
JDK 17 or higher (OpenJDK / GraalVM)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
EDDI 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 EDDI.
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 EDDI using your package manager: `docker pull labsai/EDDI`
Initialize your project workspace or configuration file for EDDI.
Import EDDI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `EDDI --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
labsai/EDDI is currently ranked #5,627 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,620 | Traewelling/traewelling | PHP | ★ 381 | Compare ↗ |
| #5,620 | coin3d/coin | C++ | ★ 381 | Compare ↗ |
| #5,620 | jamesturk/django-honeypot | Python | ★ 381 | Compare ↗ |
| #5,620 | sudara/alonetone | Ruby | ★ 381 | Compare ↗ |
| #5,620 | physiclaw/PhysiClaw | Python | ★ 381 | Compare ↗ |
| #5,627 | labsai/EDDI This Project | Java | ★ 380 | |
| #5,627 | maxfischer2781/asyncstdlib | Python | ★ 380 | Compare ↗ |
| #5,627 | usualtool/framework | PHP | ★ 380 | Compare ↗ |
| #5,627 | auroramod/h1-mod | C++ | ★ 380 | Compare ↗ |
| #5,627 | hardwood-hq/hardwood | Java | ★ 380 | Compare ↗ |
| #5,627 | ryohsuke1231/liquid-glass | TypeScript | ★ 380 | Compare ↗ |
Frequently Asked Questions
What does EDDI do? +
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
What language is EDDI written in? +
The primary language is Java. Topics include: a2a, ai-agents, ai-orchestration, chatbot, conversation-memory.
Is EDDI actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 45 open issues being tracked.
How many stars does EDDI have? +
EDDI has 380 stars and 128 forks on GitHub.
How does EDDI rank among GitHub repositories? +
With 380 stars, labsai/EDDI is ranked #5,627 globally across all repositories tracked on GitHubRepo and #463 among Java projects.
What license is EDDI distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
