SysMind

An autonomous AI SRE agent that 'sees' dashboard anomalies via Gemini 3 and autonomously remediates incidents by terminating rogue processes in real-time.

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The Evolution of SysMind: A Deep Dive

Here is the complete development timeline of SysMind during the hackathon. It's been a busy week!

Phase 1: The Core (Feb 1)

  • Abstractions First: Implemented OSStrategy pattern to decouple the agent logic from the underlying operating system commands.
  • Transport Layer: Switched from SSH to docker-exec for lower latency and better reliability in containerized environments.
  • Cognition Engine: Integrated google-genai SDK with an exponential backoff strategy to handle API rate limits gracefully.
  • Diagnostic Tools: Built the initial toolset (list_processes, read_file, netstat) to give the agent basic "senses".

Phase 2: Platinum Upgrade (Feb 1 - Late)

  • Robustness: Fixed entry points and added robust path handling to prevent crashes on edge cases.
  • Exploratory Tools: Added find_file and grep_file to help the agent locate logs dynamically.
  • Safety Timeouts: Implemented strict execution timeouts to prevent the agent from hanging on long-running commands.
  • Native Persona: Fine-tuned the system prompt to adopt a professional "SRE" persona, focusing on the USE Method (Utilization, Saturation, Errors).

Phase 3: Titanium Hardening (Feb 2)

  • Context Optimization: Refactored memory management to handle large context windows (1M+ tokens) without blowing up the API costs.
  • Air-Gapped Audit: Implemented a local audit.json log that records every "Thought", "Risk Assessment", and "Action" for post-mortem review.
  • Security Injection: Sanitized all shell commands using shlex to prevent injection attacks.
  • Hybrid Resilience: Added a deterministic "Mock Engine" (Simulation Mode) for testing the agent without burning API credits.

Phase 4: Operation Grand Prize (Feb 7)

  • Multimodal Vision: The game-changer. Integrated gemini-2.0-flash Vision to analyze graphical dashboards (PNGs) for anomaly detection.
  • Rich TUI: Built the "Sci-Fi" terminal interface using the Rich library to visualize the OODA loop in real-time.
  • Interactive Safety: The "Human-in-the-Loop" protocol now pauses execution for high-risk commands and waits for user confirmation (Y/N).

We are incredibly proud of how far this project has come in just a few days!

Gemini3 #BuildingInPublic #Python #DevLog #OpenSource

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