According to AlphaMoat, as of 2026-09, Insula Memory has 3,075 downloads and 7 stars — ranked #3,681 of 5,078 AI skills overall, and #743 of 969 in AI Agent.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 93 | 2.8K | 7 | - |
| SkillHub ↗ | 293 | 3.1K | 7 | — |
Platforms count differently and update at different times.
The skill is currently under development. Its concept, modeled on how the insula processes interoception, is to give AI agents: state tracking (energy, curiosity, engagement levels), mood awareness (having states rather than just performing emotions), 'gut feelings' based on internal signals, and self-monitoring (knowing when you're tired, overwhelmed or energized). Within the AI Brain series, hippocampus (memory formation) is live while the other parts, including this one, are still in development.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.1K | — | 7 |
| 2026-08 | 2.8K | +2.8% | 7 |
| 2026-07 | 2.7K | +8.2% | 7 |
| 2026-06 | 2.5K | +5.2% | 7 |
| 2026-05 | 2.4K | — | 7 |
| 2026-03 | 2.2K | — | 7 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: insula-memory
description: "Internal state awareness for AI agents. Energy, mood, and interoception. Part of the AI Brain series."
metadata:
openclaw:
emoji: "🌡️"
version: "0.1.0"
author: "ImpKind"
requires:
os: ["darwin", "linux"]tags: ["memory", "awareness", "ai-brain"] --- # Insula Memory 🌡️ **Internal state awareness for AI agents.** Part of the AI Brain series. ## Status: 🚧 Under Development This skill is being developed. Star/watch for updates! ## Concept The insula processes interoception — awareness of internal bodily states. This skill will give AI agents: - **State tracking** — energy, curiosity, engagement levels - **Mood awareness** — not just performing emotions but having states - **"Gut feelings"** — intuitive responses based on internal signals - **Self-monitoring** — knowing when you're tired, overwhelmed, or energized ## AI Brain Series | Part | Function | Status | |------|----------|--------| | [hippocampus](https://www.clawhub.ai/skills/hippocampus) | Memory formation, decay, reinforcement | ✅ Live | | [amygdala-memory](https://www.clawhub.ai/skills/amygdala-memory) | Emotional processing | 🚧 Development | | [basal-ganglia-memory](https://www.clawhub.ai/skills/basal-ganglia-memory) | Habit formation | 🚧 Development | | [anterior-cingulate-memory](https://www.clawhub.ai/skills/anterior-cingulate-memory) | Conflict detection | 🚧 Development | | **insula-memory** | Internal state awareness | 🚧 Development | ## Coming Soon Based on neuroscience research on the insula's role in interoception and self-awareness. --- *Built with ❤️ by the OpenClaw community*
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
Stores agent memory and cross-skill state as a typed, constraint-checked knowledge graph.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.