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J.U.D.E - Jigsaw Unified Deployment Engine. - WIP

J.U.D.E is a project focused on creating a locally hosted AI-Powered engine for automating server management, monitoring and alerting while still remaining scalable.

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Managing servers efficiently can be a challenge, and automation is key to handling complex infrastructure. J.U.D.E (Jigsaw Unified Deployment Engine) is designed to be an AI-driven solution for streamlining server management, monitoring, and alerting. With a locally hosted, containerized approach, J.U.D.E has it covered, from security to adaptability while still reducing operational overhead.

Features Implemented So Far

  • Model Baseline & Browser Framework
  • Ollama Running Inside Flask
  • Locally Hosted (No external API dependencies, ensuring security and privacy)
  • Short-Term Memory (Maintains session context for improved interactions)

  • Long-Term Memory (Persistent knowledge storage and retrieval)

  • Intelligent Knowledge Auto-Removal (Efficient management of obsolete data)

  • Personality Index (Configurable personality-based responses)

  • Reference-Based Reasoning (Utilizing context and prior interactions to improve accuracy)

  • Access to Network Time (For reasoning based on real-world timestamps)

Current planned future enhancements

  • API Integration (For external systems and services)

  • MFA for Interface & SSH (Enhancing security for remote access and automated deployments)

  • Advanced Alerting & Monitoring (Automated incident response and remediation)

  • Containerized Deployments (Optimizing Docker environments for portability and scalability)

Why J.U.D.E?

The goal of J.U.D.E is to streamline the sometimes mundane admin tasks from actively monitoring and applying patching based on pre-defined knowledge articles using Ansible to spinning up VM's.

The Current State Of Things?

As of writing this, J.U.D.E is currently in the core refinement stage and I am expanding the API to support external services as well as refining the core logic attached so I have a solid, stable framework.

As for the next milestones, I plan to implement advanced token-based OAuth and then scale vertically.

J.U.D.E - Jigsaw Unified Deployment Engine - WIP

#ai #devops #opensource #cloud

J.U.D.E is a project focused on creating a locally hosted AI-powered engine for automating server management, monitoring, and alerting while remaining scalable.

Screenshot 2025-02-26 002618

Managing servers efficiently can be a challenge, and automation is key to handling complex infrastructure. J.U.D.E (Jigsaw Unified Deployment Engine) is designed to be an AI-driven solution for streamlining server management, monitoring, and alerting. With a locally hosted, containerized approach, J.U.D.E covers everything from security to adaptability, all while reducing operational overhead.

Features Implemented So Far

  • Model Baseline & Browser Framework
  • Ollama Running Inside Flask
  • Locally Hosted: No external API dependencies, ensuring security and privacy.
  • Short-Term Memory: Maintains session context for improved interactions.
  • Long-Term Memory: Persistent knowledge storage and retrieval.
  • Intelligent Knowledge Auto-Removal: Efficient management of obsolete data.
  • Personality Index: Configurable personality-based responses.
  • Reference-Based Reasoning: Utilizing context and prior interactions…

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