v26.7.19

Web3 & Market Intelligence

• Super-Report & AI Financial Advisor: Merged GoPlus Security data directly into the analyze_market tool to eliminate duplicate API requests. The LLM now receives a comprehensive dataset including Liquidity, 24h Volume, Pool Age, Holder Concentration (real-time from GoPlus), and smart contract security status (Honeypot, Taxes) in a single unified execution.
• Advisor Persona Nudge: Injected a "Sharp Crypto Financial Advisor" persona into the LLM's system note. The AI is now instructed to actively evaluate the combined fundamental and security metrics to provide concrete, strategic recommendations (e.g., Quick Flip, Hold, DCA, Avoid) rather than just passively reciting numbers.

Agent Intelligence & Context Engine

• Gen-AI Execution & Discipline Upgrade: Completely overhauled promptBuilder.ts by injecting advanced cognitive discipline instructions (including Execution Bias and Output Directives). The AI is now significantly more proactive in utilizing tools, highly resilient to failures (varies strategy instead of giving up), and responds with a strict, senior-developer brevity (anti-loop, anti-repetition).
• Date/Time Context Optimization: Removed deprecated instructions that forced the LLM to execute a terminal command to check the current time. The system datetime context is now dynamically injected during prompt building, allowing the AI to read it instantly from memory. This saves unnecessary tool calls and reduces API quota consumption.

Architecture & Memory Unification

• Memory Fragmentation Cleanup: Resolved a cross-language memory storage architectural conflict. Previously, the Node.js core wrote explicit preferences to .nyxora/data/user.md while the Python ML Engine wrote inferred narrative memories to .nyxora/memory/USER.md, creating severe overwrite risks on case-insensitive operating systems (Windows/Mac).
• ML Engine Refactor: Modified Python endpoints to exclusively read and write to the data directory. AI-generated narrative files have been systematically renamed to narrative_user.md and narrative_memory.md to cleanly separate them from explicit user profiles.
• LLM Prompt Header Clarification: Updated memory injection headers in the Node.js system prompt to be strictly descriptive (EXPLICIT USER PREFERENCES vs AI INFERRED USER NARRATIVE), eliminating LLM context confusion.

Bug Fixes & Stability

• Tool Loop Limit Expansion: Increased the MAX_TURNS threshold in osAgent.ts from 10 to 30. This empowers the agent to autonomously execute significantly longer chained processes and complex coding refactors without being prematurely interrupted by system limits.
• System Nudge UI Leak Remediation: Prevented internal error logs from leaking into the user interface. When the LLM hallucinates or enters a prolonged Silent Stop that exhausts the Nudge tolerance, the agent no longer spews raw logs ({"level":"error"}). Instead, it gracefully intercepts the failure and returns a polite fallback response to the user.