@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.

context-resume reconstructs mental state from code artifacts (git, files, tests, comments) when returning to interrupted work. recovers where you were, what you were doing, decisions made, and active blockers.

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.

convoyield applies sentiment lexicon matching and heuristic pattern detection to conversations, scoring engagement momentum and recommending behavioral economics tactics. no external apis required, runs locally in python.

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

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