cognitionSeven biologically-inspired memory systems for OpenClaw agents. Gives your agent overnight learning (nightly consolidation), metacognition (confidence tracki...
Install via ClawdBot CLI:
clawdbot install zurbrick/cognitionGenerated Mar 8, 2026
An individual configures an AI agent to manage daily tasks, reminders, and personal knowledge. The agent uses prospective memory for future intents like scheduling appointments, semantic memory for organizing information hierarchically, and nightly consolidation to learn from daily interactions, improving over time.
A company deploys an AI agent to handle customer inquiries, using procedural memory to compile and refine response scripts based on success rates. Metamemory tracks confidence in answers, while knowledge gap detection identifies areas needing training updates, enhancing support efficiency.
A research team integrates the agent to manage project documentation, cross-reference findings, and detect knowledge gaps. Weekly reflection helps synthesize insights, and episodic memory tags important milestones for replay, accelerating innovation cycles.
An educational platform uses the agent to personalize learning paths, with semantic memory structuring curriculum knowledge and metamemory assessing student confidence. Procedural memory adapts teaching methods based on success tracking, improving engagement and outcomes.
Offer the Cognition skill as a cloud-based service with tiered plans based on memory capacity and consolidation frequency. Revenue comes from monthly fees, targeting businesses needing scalable AI memory infrastructure for automation and analytics.
Provide professional services to customize and deploy the skill for enterprise clients, including setup, training, and ongoing support. Revenue is generated through project-based fees and retainer contracts for maintenance and upgrades.
Release the core skill as open source to build a community, while monetizing advanced features like enhanced consolidation models, analytics dashboards, or priority support. Revenue streams include one-time purchases for premium add-ons and enterprise licenses.
💬 Integration Tip
Start with Phase 1 to establish basic memory systems, then gradually enable advanced features like weekly reflection to avoid overwhelming initial setup.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...
Search and analyze your own session logs (older/parent conversations) using jq.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.