engram — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 Patdolitse · MCP Server · ★ 58

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is engram safe to install? View the security audit →

About engram

Piia Engram Local-first AI memory you can see, edit, and override — portable across your MCP coding tools. Tell AI once who you are, how you work, and what "good" means. Claude Code, Codex, Cursor, Windsurf, and other MCP-compatible tools can start from the same approved context — local files you own, no cloud account, no hidden memory you cannot inspect. Install · See It in Action · Supported Tools · MCP Tools · FAQ ENGLISH | 中文 [](https://gith

ai-agentai-identityai-memoryai-toolsanthropicclaude-codeclaude-desktopcodexcontext-managementcursor

Quick Facts

Stars58
Forks1
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score65.6396715074984/100
Last Updated2026-05-22
Created2026-05-18
Platformsclaude-code, codex, mcp, python
Est. Tokens~87k

Compatible Skills

These tools work well together with engram for enhanced workflows:

  • openclaw-config — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • ctx — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)

engram alternative? Top 6 similar tools

Looking for a engram alternative? If you're comparing engram with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • omega-memory by omega-memory · ⭐ 215

    Persistent memory for AI coding agents

  • roampal-core by roampal-ai · ⭐ 50

    Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demo

  • mcp-fusion by vinkius-labs · ⭐ 204

    MCP Fusion - The framework for AI-native MCP servers.

  • task-orchestrator by jpicklyk · ⭐ 199

    Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency g

  • deterministic-agent-control-protocol by elliot35 · ⭐ 89

    Governance gateway for AI agents — bounded, auditable, session-aware control with MCP proxy, shell proxy & HTT

  • claude-historian-mcp by Vvkmnn · ⭐ 177

    📜 An MCP server for conversation history search and retrieval in Claude Code

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Frequently Asked Questions

What is engram?

engram is AI identity layer for Claude Code, Codex and Cursor — stores who you are, not just what you did. Local-first, MCP-compatible.. It is categorized as a MCP Server with 58 GitHub stars.

What programming language is engram written in?

engram is primarily written in Python. It covers topics such as ai-agent, ai-identity, ai-memory.

How do I install or use engram?

You can find installation instructions and usage details in the engram GitHub repository at github.com/Patdolitse/engram. The project has 58 stars and 1 forks, indicating an active community.

What license does engram use?

engram is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to engram?

The top alternatives to engram on Agent Skills Hub include omega-memory, roampal-core, mcp-fusion. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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