# paradigm-memory

> paradigm-memory — infinition-paradigm-memory. Use this tool when you need to efficiently manage and audit memory for AI agents, providing a navigable cognitive map instead of a bloated context file. It solves problems of memory bloat and lack of transparency, supporting various AI models like Claude Code and OpenAI Codex. With SQLite local storage and git capabilities, it offers a secure and audited solution for local-first memory management.

Canonical page: https://skillsregistry.net/skills/infinition-paradigm-memory  
JSON: https://api.skillsregistry.net/v1/skills/infinition-paradigm-memory

## Description

Local-first, audited memory MCP for Claude Code, OpenAI Codex, Gemini CLI, Cursor, Cline, Continue and OpenCode. Your agent gets a navigable cognitive map instead of a bloated context file. Zero cloud. SQLite local storage. Every mutation audited.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/infinition/paradigm-memory)

## 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": "infinition-paradigm-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/infinition-paradigm-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/infinition-paradigm-memory/pull`

---
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
