remnic — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

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 joshuaswarren · MCP Server · ★ 211

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

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

About remnic

Remnic Open-source memory and context for user-aware agents. Remnic is for agents that need to understand the people they work with over time. Remnic helps AI agents understand the people they work with: their preferences, projects, constraints, decisions, patterns, and definition of good. The goal is simple: agents that remember responsibly, retrieve the right context, and ask fewer unnecessary questions. Remnic is not just a memory store. It is an exploration of the systems layer around user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, and evals. Why this matters Most agents do not fail because they lack another prompt. They fail because they do not understand the user, the project, the boundaries, or what “good” means in context. Remnic explores the systems layer needed for user-aware agents: what to remember where that memory applies why it was retrieved when it should expire how users correct it when the agent should ask instead of act how to evaluate whether memory improved the outcome The trace is noise. The primitive is the product. Remnic's job is the pipeline that distills hours of agent conversation into compres

ai-agentai-memoryclaude-codeengramhermes-pluginknowledge-graphllmlocal-firstlong-term-memorymarkdown

Quick Facts

Stars211
Forks26
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score67.2355703858991/100
Open Issues13
Last Updated2026-10-02
Created2026-02-05
Platformsclaude-code, mcp, node
Est. Tokens~26k

remnic alternative? Top 6 similar tools

Looking for a remnic alternative? If you're comparing remnic 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 · ⭐ 219

    Persistent memory for AI coding agents

  • Awesome-OKF by Albertchamberlain · ⭐ 100

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  • roampal-core by roampal-ai · ⭐ 51

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

  • memorix by AVIDS2 · ⭐ 825

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

  • okf-agent-memory by okf-memory · ⭐ 739

    Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 se

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Frequently Asked Questions

What is remnic?

remnic is Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.. It is categorized as a MCP Server with 211 GitHub stars.

What programming language is remnic written in?

remnic is primarily written in TypeScript. It covers topics such as ai-agent, ai-memory, claude-code.

How do I install or use remnic?

You can find installation instructions and usage details in the remnic GitHub repository at github.com/joshuaswarren/remnic. The project has 211 stars and 26 forks, indicating an active community.

What license does remnic use?

remnic is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to remnic?

The top alternatives to remnic on Agent Skills Hub include omega-memory, Awesome-OKF, Overture. 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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