# Context Mem

> Use this tool when you need to retain and recall context across AI coding sessions, solving problems of information loss and improving productivity. Context Mem captures and retrieves tool outputs, summarizes content, and scores observations for importance, providing a comprehensive memory infrastructure. It offers 44 tools across various categories, all running locally with SQLite storage, making it ideal for AI coding assistants requiring persistent memory and context awareness.

Canonical page: https://skillsregistry.net/skills/context-mem  
JSON: https://api.skillsregistry.net/v1/skills/context-mem

## Description

Context Mem is a persistent memory infrastructure for AI coding assistants that automatically captures and retrieves context across sessions. It stores tool outputs, extracts meaning with content-aware summarization, and scores observations by importance for retrieval. The system provides 44 MCP tools across categories including core memory, content, knowledge graph, session, events, agents, and intelligence — all running fully locally with SQLite storage and no required API keys.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/context-mem)
- **Repository:** <https://github.com/jubakitiashvili/context-mem>

## 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": "context-mem"
    }
  }
}
```

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