No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by DomDemetz · MCP Server · ★ 86
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-soul safe to install? View the security audit →
Claude Soul Claude Code forgets everything between sessions. Claude Soul doesn't. One command. No API key, no cloud, everything local. Prerequisites: Node.js = 18, Claude Code (Pro or Max plan). Three things it does Remembers across sessions Cross-session memory with semantic search. Facts, decisions, lessons — all searchable by meaning, not just keywords. Uses local SQLite + optional Ollama embeddings. Tracks your corrections Every time you correct your Claude — "that's wrong", "you missed this", "stop doing that" — the system detects the pattern, classifies it, and tracks whether it's getting better or worse. Patterns move through lifecycle stages: new → active → improving → internalized
| Stars | 86 |
| Forks | 9 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.2758128902426/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-29 |
| Created | 2026-05-16 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~23k |
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claude-soul is Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory. It is categorized as a MCP Server with 86 GitHub stars.
claude-soul is primarily written in TypeScript. It covers topics such as ai, ai-agent, claude.
You can find installation instructions and usage details in the claude-soul GitHub repository at github.com/DomDemetz/claude-soul. The project has 86 stars and 9 forks, indicating an active community.
claude-soul is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-soul on Agent Skills Hub include omega-memory, claude-historian-mcp, claude-emporium. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: