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 timgordontg · MCP Server · ★ 280
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is engrim safe to install? View the security audit →
engrim The Universal Cross-Model & Cross-Agent Episodic Memory Store. A local-first, project-scoped SQLite memory engine that allows developers to freely switch between models and environments (Google Antigravity, Claude Code, Cursor MCP, Windsurf) on the SAME project without losing architectural decisions, user constraints, or project state. The Core Value Proposition "Why pay for 200,000 tokens of forgotten noise on every turn? The models are disposable utilities; your project's decisions are not." As context windows scale to 1M+ tokens, developers face attention dilution: reasoning degrades, cost multiplies with every conversational turn, and clearing context causes total amnesia. replaces attention dilution with 4,000 characters of curated episodic working memory: Switzerland of AI Memory: Dec
| Stars | 280 |
| Forks | 15 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.7699831714471/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-18 |
| Created | 2026-06-19 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~17k |
These tools work well together with engrim for enhanced workflows:
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engrim is The Universal Cross-Model Episodic Memory Standard. Local-first, project-scoped SQLite engine for Google Antigravity, Claude Code, Cursor, Codex CLI, and OpenCode. Zero cloud lock-in.. It is categorized as a MCP Server with 280 GitHub stars.
engrim is primarily written in Python. It covers topics such as ai-agents, antigravity, claude-code.
You can find installation instructions and usage details in the engrim GitHub repository at github.com/timgordontg/engrim. The project has 280 stars and 15 forks, indicating an active community.
engrim is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to engrim on Agent Skills Hub include memorix, altk-evolve, sub-agents-mcp. 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: