ai-knowledge

A version-controlled team knowledge base that works alongside Claude Code's automatic memory. It stores lessons, practices, and documentation in linked files that can be viewed like an Obsidian knowledge graph.

In plain words
What is it for?
Capturing lessons learned, maintaining topic-based documentation, loading relevant project context, and connecting related notes with wiki-style links.
Why use it?
It preserves important team knowledge in the repository instead of leaving it only in past conversations or individual memory.

Plugin for Claude Code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Claude Code
/plugin marketplace add charlesjones-dev/claude-code-plugins-dev
agentmods
npx agentmods add plugins/charlesjones-dev/claude-code-plugins-dev/ai-knowledge
Clone the repo
git clone --depth 1 https://github.com/charlesjones-dev/claude-code-plugins-dev

Made for: Claude Code.

Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

ai-knowledge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/ai-knowledge/.claude-plugin/plugin.json · 26 lines

What it actually says

{
  "name": "ai-knowledge",
  "version": "1.5.1",
  "description": "Curated, git-versioned team knowledge base that complements Claude Code's native auto memory - Capture conversation learnings, maintain topic-specific KB files, Obsidian-compatible knowledge graph, structured dynamic context loading, and institutional knowledge in CLAUDE.md",
  "author": {
    "name": "Charles Jones",
    "url": "https://charlesjones.dev"
  },
  "repository": "https://github.com/charlesjones-dev/claude-code-plugins-dev",
  "license": "MIT",
  "keywords": [
    "knowledge-base",
    "learnings",
    "institutional-knowledge",
    "claude-md",
    "documentation",
    "best-practices",
    "lessons-learned",
    "kb",
    "productivity",
    "obsidian",
    "graph-view",
    "wiki-links"
  ]
}
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 26 lines scan A cca1d2dc2391

Subscribe to this mod's changes

ai-knowledge is a plugin published in the GitHub repository charlesjones-dev/claude-code-plugins-dev (34 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other plugins, from other repositories