INITIALIZING_SYS
STANDBY
SYSTEM
BOOT
DATA_STREAM: axiom-workspace

AXIOM AI WORKSPACE

DOMAIN
Open Research // AI Tools
ROLE
Lead Architect
PRIMARY_METRIC
Local Multi-Agent Pipeline
EXECUTIVE_SUMMARY

A privacy-first desktop AI application designed for local model execution, multi-agent problem solving, and document analysis.

Functions as a serious AI engineering environment rather than a basic chatbot. Features persistent session memory, smart context compaction, deterministic validation, and a visual cognitive map to track live logic routing.

REPOSITORY // SOURCE
SYSTEM_METRICS
  • Built 'Workplace Mode' using a 3-agent pipeline (Architect, Builder, Critic) for complex coding and research
  • Integrated on-device GGUF model support alongside optional cloud inference via OpenRouter
  • Implemented RAG for parsing PDFs, source code, and structured data files into semantic memory
  • Engineered sandboxed Python execution and tool-augmented web search for verified reasoning
TECHNOLOGIES
Local LLMs (GGUF)Agentic AIVector/RAGSandboxed Python
DEPLOYMENT_PROTOCOL
  • 1. DEPLOYMENT: Launch the Axiom desktop executable.
  • 2. HARDWARE SETUP: The app auto-detects system hardware and recommends CPU or GPU execution modes.
  • 3. MODEL CONFIG: Load a local GGUF model directly or connect via OpenRouter for cloud inference.
  • 4. STANDARD CHAT: Attach documents or code files to initialize the semantic memory context.
  • 5. WORKPLACE OPS: Assign specific models to the Architect, Builder, and Critic roles to execute the iterative reasoning loop.
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11.0.0-BRUTAL // SYNC_OK
LATENCY: 0.00ms // CMH