# local-agent-context

> Use this tool when you need to provide AI coding agents with persistent memory and context across sessions, solving problems of lost progress and repeated learning. It offers a local MCP server that retains information between sessions, accepting input from AI agents and outputting contextual data to inform their decisions. Ideal for use cases requiring continuous learning and memory retention, such as complex coding tasks or multi-session projects.

Canonical page: https://skillsregistry.net/skills/tomiwaphilip-local-agent-context  
JSON: https://api.skillsregistry.net/v1/skills/tomiwaphilip-local-agent-context

## Description

A local MCP server that gives AI coding agents persistent memory and context across sessions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m42daaa8v5)
- **Repository:** <https://github.com/TomiwaPhilip/local-agent-context>

## 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": "tomiwaphilip-local-agent-context"
    }
  }
}
```

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