@jcools1977

negative-space trains agents to pause and identify hidden assumptions, missing constraints, absent context, and failure modes before executing high-stakes actions. a metacognitive scan that reduces wasted turns through rapid pre-execution perception.

openjaw-smart-memory provides local JSON-backed persistent storage for bot context, automatically extracting and retrieving user preferences, facts, and decisions without external APIs or cost. includes daily maintenance, privacy controls, and token savings tracking.

proprioception claims to give agents real-time awareness of goal alignment, confidence levels, conversation drift, capability boundaries, and session health through five parallel scoring systems. the design is conceptually coherent but lacks concrete implementation detail and testability.

Conversational Frequency Matching — reads invisible micro-signals in every conversation and tells the bot exactly how to respond for maximum engagement, conv...

Conversational Yield Optimization Engine — treats every bot conversation as a yield-bearing financial instrument. Five zero-cost engines detect sentiment arb...

Reconstructs your full working context when you return to a task after an interruption — meeting, lunch, sleep, weekend, or three-week vacation. Not session...

Generates a detailed receipt of everything you accomplished in a coding session — files changed, problems solved, decisions made, debt incurred, and what's l...