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 amanhij · MCP Server · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Zikkaron safe to install? View the security audit →
Zikkaron Zikkaron (זיכרון) is Hebrew for "memory." Your AI forgets you every time you close the tab. Every architecture decision you explained, every debugging rabbit hole you went down together, every "remember, we're using Postgres not SQLite" correction. Gone. You start the next session a stranger to your own tools. Zikkaron is a persistent memory engine for Claude Code built on computational neuroscience. It remembers what you worked on, how you think, what you decided and why. Not as a dumb text dump that gets shoved into context, but as a living memory system that consolidates, forgets intelligently, and reconstructs the right context at the right time. 26 subsystems. 24 MCP tools. Runs entirely on your machine. One SQLite file. Two minutes to never repeat yourself again Add to your Claude Code config: Tell Claude how to use it. Drop this in your global (your home directory, not per-project): markdown Memory On ever
| Stars | 62 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.8538910544794/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-01 |
| Created | 2026-03-02 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~49k |
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Zikkaron is Biologically-inspired persistent memory engine for Claude Code. 26 cognitive subsystems, Hopfield networks, predictive coding, causal discovery, successor representations, all running locally over SQL. It is categorized as a MCP Server with 62 GitHub stars.
Zikkaron is primarily written in Python. It covers topics such as agent-memory, artificial-intelligence, causal-inference.
You can find installation instructions and usage details in the Zikkaron GitHub repository at github.com/amanhij/Zikkaron. The project has 62 stars and 7 forks, indicating an active community.
Zikkaron is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Zikkaron on Agent Skills Hub include Cortex, omega-memory, dreamgraph. 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: