minima — 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 dmayboroda · MCP Server · ★ 1.0k

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

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

About minima

Minima is an open source RAG on-premises containers, with ability to integrate with ChatGPT and MCP. Minima can also be used as a fully local RAG or with your own deployed LLM. Minima currently supports four modes: Isolated installation (Ollama) – Operate fully on-premises with containers, free from external dependencies such as ChatGPT or Claude. All neural networks (LLM, reranker, embedding) run on your cloud or PC, ensuring your data remains secure. Custom LLM (OpenAI-compatible API) – Use your own deployed LLM with OpenAI-compatible API (vLLM, Ollama server, TGI, etc.). The indexer runs locally while the LLM can be on your server, cloud, or local machine. No Ollama deployment needed, lighter resource usage, and full control over your LLM infrastructure. Custom GPT – Query your local documents using ChatGPT app or web with custom GPTs. The indexer runs on your cloud or local PC, while the primary LLM remains ChatGPT. Anthropic Claude – Use Anthropic Claude app to query your local documents. The indexer operates on your local PC, while Anthropic Claude serves as the primary LLM.

aiclaudecustom-gptsdockerdocker-composehuggingfacelangchainmcpmodel-context-protocolollama

Quick Facts

Stars1,047
Forks107
LanguagePython
CategoryMCP Server
LicenseMPL-2.0
Quality Score67.1566647623299/100
Open Issues14
Last Updated2026-01-22
Created2024-11-02
Platformsclaude-code, docker, mcp, python
Est. Tokens~42k

Compatible Skills

These tools work well together with minima for enhanced workflows:

  • compose-for-agents — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (49%)

minima alternative? Top 6 similar tools

Looking for a minima alternative? If you're comparing minima 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.

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  • SocratiCode by giancarloerra · ⭐ 3.3k

    Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP:

  • oreilly-ai-agents by sinanuozdemir · ⭐ 299

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  • weam by weam-ai · ⭐ 220

    Web app for teams of 20+ members. In-built connections to major LLMs via API. Share chats, prompts, and agents

  • mcp-context-forge by IBM · ⭐ 4.5k

    An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified e

  • Unity-MCP by IvanMurzak · ⭐ 4.3k

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Frequently Asked Questions

What is minima?

minima is On-premises conversational RAG with configurable containers. It is categorized as a MCP Server with 1.0k GitHub stars.

What programming language is minima written in?

minima is primarily written in Python. It covers topics such as ai, claude, custom-gpts.

How do I install or use minima?

You can find installation instructions and usage details in the minima GitHub repository at github.com/dmayboroda/minima. The project has 1.0k stars and 107 forks, indicating an active community.

What license does minima use?

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

What are the best alternatives to minima?

The top alternatives to minima on Agent Skills Hub include casibase, SocratiCode, oreilly-ai-agents. 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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