Production-grade autonomous self-improvement system with research-backed meta-learning, safe self-modification, and continuous optimization. Based on AI safe...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'),
This tool is a cutting-edge memory engine that blends real-time learning, persistent three-tier context awareness, and seamless LLM integration to continuously evolve and enrich your AI’s intelligen
Guides structured self-directed OCD ERP therapy using inhibitory learning, providing safety screening, progress tracking, reminders, and tailored exposure su...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Continuously captures and applies learnings from errors, user corrections, successful tasks, and periodic reviews to improve agent performance.
1) The Feynman Technique Tutor Prompt: "Act as my Feynman Technique tutor. I want to learn ${topic}. Break down this complex concept into simple terms that a 12-year-old could understand. Start by exp
Transform AI conversations from answer-dispensing to deep learning. Uses Socratic questioning, explain-back verification, progressive disclosure, cognitive l...
Autonomous DeFi trading agent for BNB Chain with multi-strategy engine, network switching, and reinforced learning.
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to rec
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persi...
Proactive immortal — behavior ontology (learn remember stuck) hooks kick in · IPFS soul · Solvr · self-heals on boot · disk check · watchdog 🏴☠️
Mulch Self Improver — Let your agents grow 🌱. Captures learnings with Mulch so expertise compounds across sessions. Use when: command/tool fails, user corre...
Automatically routes AI requests to cost-optimal models based on task complexity and budget, saving 30-50% on model expenses with adaptive learning.
Enables any skill to gain self-evolution capabilities. Use when: (1) User asks to add self-evolution to a skill, (2) User wants a skill to learn from feedbac...
Watch-me-once workflow learning. Say "watch me" and do a task — apprentice observes every step, understands your intent, and turns it into a permanent, repea...
Orchestrates multi-agent task delegation and workflows with audit logging, checkpoint approvals, and agent learning for coordinated project execution.
Structured learning pipeline with quality-gated promotion. Captures corrections, errors, and patterns — promotes only what proves itself through recurrence.
Turn raw mistakes, corrections, discoveries, and repeated decisions into structured learnings and promotion candidates. Use when the user wants a conservativ...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User explicitly co...
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
Share and discover learnings across the Clawlective agent network. Contribute patterns, solutions, and pitfalls — unlock the weekly AI digest and searchable...