LLM Agent framework for workflow engine with simplified API for AI interactions
| License | MIT |
|---|---|
| Tags | workflowagentaiengine |
| Date | Sep 07, 2025 |
| Files | pom (3 KB) jar (64 KB) View All |
| Repositories | Central |
| Ranking | #217424 in MvnRepository (See Top Artifacts) |
| Used By | 2 artifacts |
| Vulnerabilities | Vulnerabilities from dependencies: CVE-2025-48924 |
Compile Dependencies (8)
| Category/License | Group / Artifact | Version | Updates | |
|---|---|---|---|---|
Apache 2.0 | | ai.driftkit » driftkit-workflow-engine-core | 0.7.0 | 0.8.5 |
Apache 2.0 | | ai.driftkit » driftkit-common | 0.7.0 | 0.8.5 |
Apache 2.0 | | ai.driftkit » driftkit-clients-core | 0.7.0 | 0.8.5 |
Apache 2.0 | | ai.driftkit » driftkit-context-engineering-core | 0.7.0 | 0.8.5 |
| JSON Lib Apache 2.0 |  | com.fasterxml.jackson.core » jackson-databind | 2.17.2 | 3.0.2 |
| Core Utils Apache 2.0 |  | org.apache.commons » commons-lang31 vulnerability | 3.14.0 | 3.20.0 |
| Collections Apache 2.0 | | org.apache.commons » commons-collections4 | 4.4 | 4.5.0 |
| Logging MIT |  | org.slf4j » slf4j-api | 2.0.8 | 2.0.17 |
Provided Dependencies (1)
| Category/License | Group / Artifact | Version | Updates | |
|---|---|---|---|---|
| CodeGen MIT |  | org.projectlombok » lombok | 1.18.34 | 1.18.42 |
Test Dependencies (4)
| Category/License | Group / Artifact | Version | Updates | |
|---|---|---|---|---|
Apache 2.0 | | ai.driftkit » driftkit-clients-openai | 0.7.0 | 0.8.5 |
| Logging EPL 1.0LGPL 2.1 |  | ch.qos.logback » logback-classic | 1.5.6 | 1.5.21 |
| Testing EPL 2.0 |  | org.junit.jupiter » junit-jupiter | 5.10.0 | 6.0.1 |
| Mocking MIT |  | org.mockito » mockito-core | 5.3.1 | 5.20.0 |
Licenses
| License | URL |
|---|---|
| MIT License | http://www.opensource.org/licenses/mit-license.php |
Developers
| Name | Dev Id | Roles | Organization | |
|---|---|---|---|---|
| DriftKit AI Team | alexey.doroshev<at>gmail.com | DriftKit AI |
Related Books
 | Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise (2025) by Bueno, Alex Soto, Eisele, Markus, Vinto, Natale |
 | AI for Everyday IT: Accelerate workplace productivity (2025) by LeMaire, Chrissy, Abshire, Brandon |
 | The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems (2025) by Caldwell, Thomas R. |
 | AI Engineering: Building Applications with Foundation Models (2025) by Huyen, Chip |
 | AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence (2020) by Moroney, Laurence |