# agent-context-system

> agent-context-system — andreagriffiths11-agent-context-system. Use this tool when you need to store and retrieve contextual information for AI coding agents, solving problems of data persistence and agent knowledge retention. The agent-context-system provides a persistent local-only memory interface, accepting input data and storing it for later retrieval, and outputting stored information as needed. It is ideal for use cases where agents require access to previous interactions, decisions, or learned knowledge to inform future actions.

Canonical page: https://skillsregistry.net/skills/andreagriffiths11-agent-context-system  
JSON: https://api.skillsregistry.net/v1/skills/andreagriffiths11-agent-context-system

## Description

A persistent local-only memory system for AI coding agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/andreagriffiths11-agent-context-system)

## 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": "andreagriffiths11-agent-context-system"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andreagriffiths11-agent-context-system` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andreagriffiths11-agent-context-system/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