synto: More than just Karpathy’s LLM Wiki, 100% local with Ollama

by kytmanov · LLM Plugin · ★ 261

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

How to install synto

pip install synto
uv tool install synto

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

git-based-wikikarpathyknowledge-basellm-knowledge-basellm-pipelinellm-toolsllm-wikilocal-first-ailocal-llmmarkdown-wiki

Quick Facts

Stars261
Forks26
LanguagePython
CategoryLLM Plugin
LicenseMIT
Quality Score62/100
Open Issues7
Last Updated2026-10-08
Created2026-05-15
Platformspython
Est. Tokens~23k

About synto

Synto Install · Quick start · How it works · Features · Use cases · <a hr

synto alternative? Top 6 similar tools

Looking for a synto alternative? If you're comparing synto with other llm plugin 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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  • swarmvault by swarmclawai · ⭐ 724

    The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Bui

  • llm-wiki by Pratiyush · ⭐ 397

    LLM-powered knowledge base from your Claude Code, Codex CLI, Copilot, Cursor & Gemini sessions. Karpathy's LLM

  • modular-context-obsidian-plugin by klemensgc · ⭐ 99

    Modular Context | Karpathy LLM Knowledge Base + Gmail & G-Cal — multi-account MCP server for Claude Code, encr

  • Kompl by tuirk · ⭐ 79

    A compounding LLM-wiki, best fit as a personal second brain that organizes and updates itself as it grows, zer

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse LLM Plugin tools