# memex-hypertext-bridge

> memex-hypertext-bridge — annumishr-memex-hypertext-bridge. Use this tool when you need to build a persistent knowledge base that retains insights from large language models (LLMs) across sessions, solving the problem of lost information and enabling seamless continuity. It integrates with git, allowing for version-controlled input and output of knowledge base data. This tool is ideal for applications requiring long-term knowledge retention and collaboration.

Canonical page: https://skillsregistry.net/skills/annumishr-memex-hypertext-bridge  
JSON: https://api.skillsregistry.net/v1/skills/annumishr-memex-hypertext-bridge

## Description

Build a Persistent AI Knowledge Base 2026: Stop Losing LLM Insights Across Sessions

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/annumishr/memex-hypertext-bridge)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "annumishr-memex-hypertext-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/annumishr-memex-hypertext-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/annumishr-memex-hypertext-bridge/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt